Data Entry Jobs in Saudi

<p><strong >Key Responsibilities</strong></p><p><strong>Administrative Support</strong></p><ul><li>Provide day-to-day administrative assistance to managers and cross-functional teams.</li><li>Prepare, edit, format, and organize business documents, reports, presentations, and spreadsheets.</li><li>Maintain accurate digital filing systems and document repositories.</li><li>Organize and archive company records while ensuring confidentiality.</li><li>Monitor shared inboxes and distribute requests to appropriate team members.</li><li>Assist with data entry and record maintenance across multiple internal systems.</li></ul><p><strong>Operations Support</strong></p><ul><li>Coordinate internal workflows and administrative processes.</li><li>Assist with tracking operational tasks and project milestones.</li><li>Help prepare operational reports using company templates.</li><li>Monitor task completion and follow up on outstanding action items.</li><li>Support onboarding activities for new employees.</li><li>Assist in maintaining standard operating procedures (SOPs) and internal documentation.</li></ul><p><strong>Calendar &amp; Meeting Coordination</strong></p><ul><li>Schedule meetings across multiple time zones.</li><li>Send meeting invitations and reminders.</li><li>Prepare agendas and meeting materials.</li><li>Record meeting notes and distribute action items.</li><li>Coordinate virtual events and internal team sessions.</li></ul><p><strong>Communication Support</strong></p><ul><li>Draft professional emails and internal announcements.</li><li>Coordinate communication between departments.</li><li>Respond to routine inquiries professionally and promptly.</li><li>Support internal knowledge-sharing initiatives.</li></ul><p><strong>Office &amp; Administrative Coordination</strong></p><ul><li>Maintain digital office systems and shared resources.</li><li>Track administrative supplies and software subscriptions where applicable.</li><li>Assist with vendor documentation and administrative records.</li><li>Support travel planning and expense documentation when required.</li><li>Ensure administrative processes remain organized and efficient.</li></ul><p><strong>Data &amp; Reporting</strong></p><ul><li>Update internal databases and spreadsheets.</li><li>Compile weekly and monthly administrative reports.</li><li>Perform quality checks on records for accuracy and completeness.</li><li>Generate routine reports for management.</li></ul><p><strong>Process Improvement</strong></p><ul><li>Identify opportunities to improve administrative workflows.</li><li>Recommend efficiencies in documentation and communication.</li><li>Participate in projects aimed at improving operational effectiveness.</li><li>Assist in implementing new administrative tools and procedures.</li></ul><p><strong>What Success Looks Like</strong></p><ul><li>Maintain organized and accurate administrative records.</li><li>Communicate professionally with internal stakeholders.</li><li>Support smooth daily operations with minimal supervision.</li><li>Meet deadlines consistently.</li><li>Demonstrate reliability and strong organizational skills.</li><li>Contribute ideas that improve administrative efficiency.</li><li>Build positive working relationships across departments.</li></ul><p><strong>What We Offer</strong></p><ul><li>Competitive salary.</li><li>Fully remote work environment.</li><li>Flexible working arrangements.</li><li>Paid time off and company holidays.</li><li>Professional development and training opportunities.</li><li>Career growth within operations and administration.</li><li>Collaborative, supportive, and inclusive team culture.</li><li>Exposure to regional and international projects.</li><li>Performance-based recognition and advancement opportunities.</li></ul><p>PULSE (MENA) is committed to creating a diverse and inclusive workplace. We are dedicated to providing equal employment opportunities and fostering a respectful and collaborative work environment.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>High school diploma required; Associate's or Bachelor's degree in Business Administration, Management, Communications, or a related field is preferred.</li><li>0 - 2 years of administrative, office support, customer service, internship, or similar experience.</li><li>Strong organizational and multitasking abilities.</li><li>Excellent written and verbal communication skills in English.</li><li>High attention to detail and accuracy.</li><li>Ability to manage priorities and meet deadlines.</li><li>Comfortable working independently in a remote environment.</li><li>Professional attitude with strong interpersonal skills.</li><li>Willingness to learn new systems and administrative processes.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Previous internship or administrative support experience.</li><li>Experience working remotely or in a virtual team.</li><li>Familiarity with project coordination.</li><li>Knowledge of business communication standards.</li><li>Arabic language proficiency is a plus.</li></ul><p><strong>Technical Skills</strong></p><p>Candidates should have experience or familiarity with:</p><ul><li>Microsoft Office (Word, Excel, PowerPoint, Outlook)</li><li>Google Workspace (Docs, Sheets, Slides, Drive, Calendar)</li><li>Video conferencing platforms (Zoom, Microsoft Teams, Google Meet)</li><li>Collaboration tools (Slack or similar)</li><li>Task management platforms (Asana, Trello, ClickUp, or Monday.com)</li><li>Cloud document management systems</li></ul><p><strong>Core Competencies</strong></p><ul><li>Organization and planning</li><li>Time management</li><li>Communication</li><li>Professionalism</li><li>Confidentiality</li><li>Problem-solving</li><li>Adaptability</li><li>Collaboration</li><li>Initiative</li><li>Accountability</li><li>Attention to detail</li><li>Customer service mindset</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As an Entry-Level Administrative Professional, you will provide essential administrative and operational support to various departments across the organization. You will coordinate schedules, manage documentation, assist with internal communications, organize meetings, maintain accurate records, and help improve administrative processes. This position requires excellent organizational skills, strong written and verbal communication, attention to detail, and the ability to work independently in a fully remote environment.</p><p>Key Responsibilities</p><p>Administrative Support</p><ul><li>Provide day-to-day administrative assistance to managers and cross-functional teams.</li><li>Prepare, edit, format, and organize business documents, reports, presentations, and spreadsheets.</li><li>Maintain accurate digital filing systems and document repositories.</li><li>Organize and archive company records while ensuring confidentiality.</li><li>Monitor shared inboxes and distribute requests to appropriate team members.</li><li>Assist with data entry and record maintenance across multiple internal systems.</li></ul><p>Operations Support</p><ul><li>Coordinate internal workflows and administrative processes.</li><li>Assist with tracking operational tasks and project milestones.</li><li>Help prepare operational reports using company templates.</li><li>Monitor task completion and follow up on outstanding action items.</li><li>Support onboarding activities for new employees.</li><li>Assist in maintaining standard operating procedures (SOPs) and internal documentation.</li></ul><p>Calendar &amp; Meeting Coordination</p><ul><li>Schedule meetings across multiple time zones.</li><li>Send meeting invitations and reminders.</li><li>Prepare agendas and meeting materials.</li><li>Record meeting notes and distribute action items.</li><li>Coordinate virtual events and internal team sessions.</li></ul><p>Communication Support</p><ul><li>Draft professional emails and internal announcements.</li><li>Coordinate communication between departments.</li><li>Respond to routine inquiries professionally and promptly.</li><li>Support internal knowledge-sharing initiatives.</li></ul><p>Office &amp; Administrative Coordination</p><ul><li>Maintain digital office systems and shared resources.</li><li>Track administrative supplies and software subscriptions where applicable.</li><li>Assist with vendor documentation and administrative records.</li><li>Support travel planning and expense documentation when required.</li><li>Ensure administrative processes remain organized and efficient.</li></ul><p>Data &amp; Reporting</p><ul><li>Update internal databases and spreadsheets.</li><li>Compile weekly and monthly administrative reports.</li><li>Perform quality checks on records for accuracy and completeness.</li><li>Generate routine reports for management.</li></ul><p>Process Improvement</p><ul><li>Identify opportunities to improve administrative workflows.</li><li>Recommend efficiencies in documentation and communication.</li><li>Participate in projects aimed at improving operational effectiveness.</li><li>Assist in implementing new administrative tools and procedures.</li></ul><p>What Success Looks Like</p><ul><li>Maintain organized and accurate administrative records.</li><li>Communicate professionally with internal stakeholders.</li><li>Support smooth daily operations with minimal supervision.</li><li>Meet deadlines consistently.</li><li>Demonstrate reliability and strong organizational skills.</li><li>Contribute ideas that improve administrative efficiency.</li><li>Build positive working relationships across departments.</li></ul><p>What We Offer</p><ul><li>Competitive salary.</li><li>Fully remote work environment.</li><li>Flexible working arrangements.</li><li>Paid time off and company holidays.</li><li>Professional development and training opportunities.</li><li>Career growth within operations and administration.</li><li>Collaborative, supportive, and inclusive team culture.</li><li>Exposure to regional and international projects.</li><li>Performance-based recognition and advancement opportunities.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High school diploma required; Associate's or Bachelor's degree in Business Administration, Management, Communications, or a related field is preferred.</li><li>0 - 2 years of administrative, office support, customer service, internship, or similar experience.</li><li>Strong organizational and multitasking abilities.</li><li>Excellent written and verbal communication skills in English.</li><li>High attention to detail and accuracy.</li><li>Ability to manage priorities and meet deadlines.</li><li>Comfortable working independently in a remote environment.</li><li>Professional attitude with strong interpersonal skills.</li><li>Willingness to learn new systems and administrative processes.</li><li>Previous internship or administrative support experience.</li><li>Experience working remotely or in a virtual team.</li><li>Familiarity with project coordination.</li><li>Knowledge of business communication standards.</li><li>Arabic language proficiency is a plus.</li><li><strong>Technical Skills</strong> Candidates should have experience or familiarity with:<ul><li>Microsoft Office (Word, Excel, PowerPoint, Outlook)</li><li>Google Workspace (Docs, Sheets, Slides, Drive, Calendar)</li><li>Video conferencing platforms (Zoom, Microsoft Teams, Google Meet)</li><li>Collaboration tools (Slack or similar)</li><li>Task management platforms (Asana, Trello, ClickUp, or Monday.com)</li><li>Cloud document management systems</li></ul></li><li><strong>Core Competencies</strong><ul><li>Organization and planning</li><li>Time management</li><li>Communication</li><li>Professionalism</li><li>Confidentiality</li><li>Problem-solving</li><li>Adaptability</li><li>Collaboration</li><li>Initiative</li><li>Accountability</li><li>Attention to detail</li><li>Customer service mindset</li></ul></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>PULSE (MENA) is a forward-thinking organization dedicated to delivering operational excellence and supporting innovation across the Middle East and North Africa. We value collaboration, efficiency, integrity, and continuous learning. Our remote-first culture empowers team members to contribute meaningfully while developing professionally in a supportive and inclusive environment. We are looking for a motivated, detail-oriented, and organized Entry-Level Administrative Professional to join our Operations team. This role is ideal for someone beginning their administrative career who enjoys organizing information, supporting teams, solving day-to-day operational challenges, and ensuring smooth business operations.</p><p>As an Entry-Level Administrative Professional, you will provide essential administrative and operational support to various departments across the organization. You will coordinate schedules, manage documentation, assist with internal communications, organize meetings, maintain accurate records, and help improve administrative processes. This position requires excellent organizational skills, strong written and verbal communication, attention to detail, and the ability to work independently in a fully remote environment.</p><p>Key Responsibilities</p><strong>Administrative Support</strong><ul><li>Provide day-to-day administrative assistance to managers and cross-functional teams.</li><li>Prepare, edit, format, and organize business documents, reports, presentations, and spreadsheets.</li><li>Maintain accurate digital filing systems and document repositories.</li><li>Organize and archive company records while ensuring confidentiality.</li><li>Monitor shared inboxes and distribute requests to appropriate team members.</li><li>Assisat with data entry and record maintenance across multiple internal systems.</li></ul><strong>Operations Support</strong><ul><li>Coordinate internal workflows and administrative processes.</li><li>Assist with tracking operational tasks and project milestones.</li><li>Help prepare operational reports using company templates.</li><li>Monitor task completion and follow up on outstanding action items.</li><li>Support onboarding activities for new employees.</li><li>Assist in maintaining standard operating procedures (SOPs) and internal documentation.</li></ul><strong>Calendar &amp; Meeting Coordination</strong><ul><li>Schedule meetings across multiple time zones.</li><li>Send meeting invitations and reminders.</li><li>Prepare agendas and meeting materials.</li><li>Record meeting notes and distribute action items.</li><li>Coordinate virtual events and internal team sessions.</li></ul><strong>Communication Support</strong><ul><li>Draft professional emails and internal announcements.</li><li>Coordinate communication between departments.</li><li>Respond to routine inquiries professionally and promptly.</li><li>Support internal knowledge-sharing initiatives.</li></ul><strong>Office &amp; Administrative Coordination</strong><ul><li>Maintain digital office systems and shared resources.</li><li>Track administrative supplies and software subscriptions where applicable.</li><li>Assist with vendor documentation and administrative records.</li><li>Support travel planning and expense documentation when required.</li><li>Ensure administrative processes remain organized and efficient.</li></ul><strong>Data &amp; Reporting</strong><ul><li>Update internal databases and spreadsheets.</li><li>Compile weekly and monthly administrative reports.</li><li>Perform quality checks on records for accuracy and completeness.</li><li>Generate routine reports for management.</li></ul><strong>Process Improvement</strong><ul><li>Identify opportunities to improve administrative workflows.</li><li>Recommend efficiencies in documentation and communication.</li><li>Participate in projects aimed at improving operational effectiveness.</li><li>Assist in implementing new administrative tools and procedures.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High school diploma required; Associate's or Bachelor's degree in Business Administration, Management, Communications, or a related field is preferred.</li><li>0-2 years of administrative, office support, customer service, internship, or similar experience.</li><li>Strong organizational and multitasking abilities.</li><li>Excellent written and verbal communication skills in English.</li><li>High attention to detail and accuracy.</li><li>Ability to manage priorities and meet deadlines.</li><li>Comfortable working independently in a remote environment.</li><li>Professional attitude with strong interpersonal skills.</li><li>Willingness to learn new systems and administrative processes.</li></ul><strong>Preferred Qualifications</strong><ul><li>Previous internship or administrative support experience.</li><li>Experience working remotely or in a virtual team.</li><li>Familiarity with project coordination.</li><li>Knowledge of business communication standards.</li><li>Arabic language proficiency is a plus.</li></ul><strong>Technical Skills</strong>Candidates should have experience or familiarity with:<ul><li>Microsoft Office (Word, Excel, PowerPoint, Outlook)</li><li>Google Workspace (Docs, Sheets, Slides, Drive, Calendar)</li><li>Video conferencing platforms (Zoom, Microsoft Teams, Google Meet)</li><li>Collaboration tools (Slack or similar)</li><li>Task management platforms (Asana, Trello, ClickUp, or Monday.com)</li><li>Cloud document management systems</li></ul><strong>Core Competencies</strong><ul><li>Organization and planning</li><li>Time management</li><li>Communication</li><li>Professionalism</li><li>Confidentiality</li><li>Problem-solving</li><li>Adaptability</li><li>Collaboration</li><li>Initiative</li><li>Accountability</li><li>Attention to detail</li><li>Customer service mindset</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About PULSE (MENA) PULSE (MENA) is a forward-thinking organization dedicated to delivering operational excellence and supporting innovation across the Middle East and North Africa. We value collaboration, efficiency, integrity, and continuous learning. Our remote-first culture empowers team members to contribute meaningfully while developing professionally in a supportive and inclusive environment. We are looking for a motivated, detail-oriented, and organized Entry-Level Administrative Professional to join our Operations team. This role is ideal for someone beginning their administrative career who enjoys organizing information, supporting teams, solving day-to-day operational challenges, and ensuring smooth business operations. Position Overview As an Entry-Level Administrative Professional, you will provide essential administrative and operational support to various departments across the organization. You will coordinate schedules, manage documentation, assist with internal communications, organize meetings, maintain accurate records, and help improve administrative processes. This position requires excellent organizational skills, strong written and verbal communication, attention to detail, and the ability to work independently in a fully remote environment. Key Responsibilities Administrative Support Provide day-to-day administrative assistance to managers and cross-functional teams. Prepare, edit, format, and organize business documents, reports, presentations, and spreadsheets. Maintain accurate digital filing systems and document repositories. Organize and archive company records while ensuring confidentiality. Monitor shared inboxes and distribute requests to appropriate team members. Assist with data entry and record maintenance across multiple internal systems. Operations Support Coordinate internal workflows and administrative processes. Assist with tracking operational tasks and project milestones. Help prepare operational reports using company templates. Monitor task completion and follow up on outstanding action items. Support onboarding activities for new employees. Assist in maintaining standard operating procedures (SOPs) and internal documentation. Calendar &amp; Meeting Coordination Schedule meetings across multiple time zones. Send meeting invitations and reminders. Prepare agendas and meeting materials. Record meeting notes and distribute action items. Coordinate virtual events and internal team sessions. Communication Support Draft professional emails and internal announcements. Coordinate communication between departments. Respond to routine inquiries professionally and promptly. Support internal knowledge-sharing initiatives. Office &amp; Administrative Coordination Maintain digital office systems and shared resources. Track administrative supplies and software subscriptions where applicable. Assist with vendor documentation and administrative records. Support travel planning and expense documentation when required. Ensure administrative processes remain organized and efficient. Data &amp; Reporting Update internal databases and spreadsheets. Compile weekly and monthly administrative reports. Perform quality checks on records for accuracy and completeness. Generate routine reports for management. Process Improvement Identify opportunities to improve administrative workflows. Recommend efficiencies in documentation and communication. Participate in projects aimed at improving operational effectiveness. Assist in implementing new administrative tools and procedures. Technical Skills Candidates should have experience or familiarity with: Microsoft Office (Word, Excel, PowerPoint, Outlook) Google Workspace (Docs, Sheets, Slides, Drive, Calendar) Video conferencing platforms (Zoom, Microsoft Teams, Google Meet) Collaboration tools (Slack or similar) Task management platforms (Asana, Trello, ClickUp, or Monday.com) Cloud document management systems Core Competencies Organization and planning Time management Communication Professionalism Confidentiality Problem-solving Adaptability Collaboration Initiative Accountability Attention to detail Customer service mindset What Success Looks Like Successful candidates will: Maintain organized and accurate administrative records. Communicate professionally with internal stakeholders. Support smooth daily operations with minimal supervision. Meet deadlines consistently. Demonstrate reliability and strong organizational skills. Contribute ideas that improve administrative efficiency. Build positive working relationships across departments. What We Offer Competitive salary. Fully remote work environment. Flexible working arrangements. Paid time off and company holidays. Professional development and training opportunities. Career growth within operations and administration. Collaborative, supportive, and inclusive team culture. Exposure to regional and international projects. Performance-based recognition and advancement opportunities. Equal Opportunity Employer PULSE (MENA) is committed to creating a diverse and inclusive workplace. We are dedicated to providing equal employment opportunities and fostering a respectful and collaborative work environment. How to Apply Interested candidates should submit their Updated CV or r sum .</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High school diploma required; Associate's or Bachelor's degree in Business Administration, Management, Communications, or a related field is preferred.</li><li>0 - 2 years of administrative, office support, customer service, internship, or similar experience.</li><li>Strong organizational and multitasking abilities.</li><li>Excellent written and verbal communication skills in English.</li><li>High attention to detail and accuracy.</li><li>Ability to manage priorities and meet deadlines.</li><li>Comfortable working independently in a remote environment.</li><li>Professional attitude with strong interpersonal skills.</li><li>Willingness to learn new systems and administrative processes.</li><li>Preferred Qualifications: Previous internship or administrative support experience. Experience working remotely or in a virtual team. Familiarity with project coordination. Knowledge of business communication standards. Arabic language proficiency is a plus.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Role Overview</p><p>The Director of Data Platforms &amp; Intelligence is one of the most strategically significant leadership hires at webook. This role owns and integrates:</p><ul><li>Data Platforms</li><li>Analytics &amp; Insights</li><li>AI Enablement</li><li>Intelligence Products</li><li>Commercial Data Monetisation</li><li>Operational &amp; Executive Decision Intelligence</li></ul><p>This leader transforms webook s data into a revenue-driving, intelligence-generating engine .</p><p>What You ll Own</p><p>Data Platform Strategy &amp; Architecture</p><ul><li>Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals</li><li>Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access</li><li>Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)</li><li>Ensure resilience during extreme traffic spikes and major events</li></ul><p>Data Reliability &amp; Observability</p><ul><li>Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)</li><li>Treat data incidents with production-level severity</li><li>Deliver trusted, always-on data for real-time ops and BI</li></ul><p>Business Intelligence &amp; Decision Intelligence</p><ul><li>Lead executive dashboards, KPI frameworks, forecasting, and operational metrics</li><li>Enable self-service analytics with governed semantic layers</li><li>Partner with Product, Marketing, Commercial, and Operations on proactive insights</li></ul><p>Partner &amp; Promoter Intelligence (Core 2026 Monetisation)</p><ul><li>Design and own data-as-a-product roadmap</li><li>Build promoter dashboards covering live entry &amp; capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue &amp; throughput intelligence</li><li>Work with Commercial on pricing, packaging, and go-to-market</li></ul><p>AI Enablement &amp; Predictive Intelligence</p><ul><li>Build data foundations for AI and ML models</li><li>Support recommendation systems, conversational UX, forecasting, and anomaly detection</li><li>Operationalise models with monitoring and retraining</li></ul><p>Governance, Security &amp; Compliance</p><ul><li>Define policies for data access, retention, and protection</li><li>Ensure PDPL &amp; GDPR compliance in partnership with CISO &amp; DPO</li></ul><p>Leadership &amp; Organisation Building</p><ul><li>Lead Data Engineering, Analytics, BI, and Data Operations teams</li><li>Define org structure, hiring plans, and career ladders</li><li>Act as a core member of the Technology Leadership Team</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>15+ years in data engineering, analytics, BI, architecture, or data leadership</li><li>Proven experience building enterprise-grade data platforms</li><li>Experience commercialising external data or intelligence products</li><li>Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)</li><li>Strong AI, ML Ops, KPI, and executive reporting expertise</li><li>Strong understanding of PDPL/GDPR</li><li>Excellent executive communication and influence</li></ul><p>Nice to Have</p><ul><li>Experience in ticketing, events, travel, marketplaces, or entertainment tech</li><li>Experience with multi-tenant data products</li><li>Experience delivering market intelligence to enterprise clients</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br></p><p>The Master Data Administrator is responsible for managing, maintaining, and improving Avnzor's supplier product catalogue of approximately <b>50,000 SKUs</b>. The role ensures that all product information is accurate, complete, structured, validated, and ready for use across the company's website, mobile application, ERP, WMS, marketplaces, and internal systems.</p><p>Key responsibilities include maintaining product master data, creating and updating product records, validating data quality, onboarding new products, preparing and executing bulk uploads, managing pricing and product classifications, supporting eCommerce and marketplace listings, generating catalogue reports and dashboards, and collaborating with cross-functional teams to ensure data accuracy and operational efficiency.&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>&nbsp;Advanced proficiency in <b>Microsoft Excel</b>, including XLOOKUP, VLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, Conditional Formatting, Data Validation, and large dataset reconciliation.</li><li>Advanced <b>Google Sheets</b> skills, including Query and Import functions.</li><li>Strong experience in data cleansing, validation, consolidation, reconciliation, and analysis of large datasets (20,000–50,000+ records).</li><li>Experience with ERP, WMS, PIM, Shopify, or other eCommerce platforms.</li><li>Strong analytical, numerical, and problem-solving skills.</li><li>Excellent attention to detail with a focus on data accuracy and quality.</li><li>Ability to manage high-volume catalogue requests and prioritize multiple tasks.</li><li>Strong organizational, communication, and stakeholder management skills.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li><li>Bachelor's degree in Business Administration, Information Systems, Supply Chain, Data Management, or a related field.</li><li>2–4 years of experience in Master Data, Catalogue Management, Product Information Management (PIM), eCommerce Operations, or Buying Support.</li><li>English proficiency is required; Arabic is preferred.&nbsp;&nbsp;</li></ul><p><br></p><p><br></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Junior Data Engineer supports the development, maintenance, and continuous improvement of Starlinks' data platform by building and maintaining reliable data pipelines that enable business reporting and data-driven decision-making across logistics and warehousing operations. Working closely with experienced Data Engineers, the role is responsible for onboarding new source systems, developing and supporting Bronze-to-gold data pipelines, and contributing to the ongoing enhancement of an established data architecture. Through hands-on delivery, collaboration, mentorship, and code reviews, the role helps ensure the availability of high-quality, scalable, and reliable data solutions while building technical expertise and engineering best practices. Main Job Responsibilities</p><p>Build and maintain ETL/ELT pipelines to ingest data from operational source systems (APIs, file drops, databases) into the Microsoft Fabric data platform. Transform raw data through bronze, silver, and gold layers following the established medallion architecture. Write, optimize, and maintain SQL and Python/PySpark code for data transformation and processing. Apply data quality checks, validation rules, and change detection patterns across ingestion pipelines. Follow and contribute to team standards for naming conventions, schema design, documentation, and Git workflows. Support pipeline monitoring, alert configuration, and issue resolution using Microsoft Fabric Activator. Assist with onboarding new data sources into the enterprise data platform. Troubleshoot and resolve data pipeline failures, performance issues, and data quality incidents. Collaborate with Data Engineers, Data Analysts, and business stakeholders to understand data requirements and deliver reliable data solutions. Participate in code reviews, testing, and deployment activities to ensure high-quality, maintainable solutions. Document data pipelines, source systems, transformation logic, and technical processes to support ongoing maintenance and knowledge sharing. Support the continuous improvement of data engineering processes, automation, and platform performance. Ensure data solutions comply with organisational data governance, security, and engineering best practices. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, contributing to team delivery and continuous improvement.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in computer science, Information Systems, Engineering, or a related field Working knowledge of SQL, you can write queries, joins, and transformations without needing to look up syntax Basic understanding of data pipeline concepts ingestion, transformation, loading Familiarity with at least one cloud data platform (Azure, AWS, or GCP) Willingness to learn Microsoft Fabric hands-on exposure or certification is a strong plus, not a requirement Good communication skills you ask questions when blocked rather than making assumptions</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Architecture &amp; Modeling Specialist with 6 12+ years of experience to design, develop, and govern enterprise data architecture solutions. The ideal candidate will have strong expertise in data modeling methodologies, modern data platforms, data governance, and data integration patterns. This role requires the ability to define scalable data architectures, develop conceptual/logical/physical data models, and enable data-driven transformation initiatives across the organization. Key Responsibilities Design and implement enterprise data architecture strategies aligned with business and technology objectives. Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms. Create and maintain data models using industry-standard modeling tools. Apply data modeling methodologies including dimensional modeling and Data Vault architecture. Design scalable data warehouse and data lake architectures. Define data architecture standards, principles, and best practices. Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions. Develop and maintain metadata, data lineage, and data governance frameworks. Support data platform modernization initiatives and cloud data transformation programs. Evaluate and recommend data technologies, tools, and architectural approaches. Ensure data quality, consistency, security, and compliance across enterprise data assets. Required Technical Skills Data Modeling &amp; Architecture Tools Hands-on experience with ERwin or ER/Studio for enterprise data modeling. Strong understanding of conceptual, logical, and physical data modeling principles. Experience creating enterprise-level data models and architecture documentation. Data Modeling Methodologies Strong experience with Data Vault or Kimball dimensional modeling methodologies. Understanding of data warehouse design patterns, star schemas, and enterprise analytics models. Cloud &amp; Enterprise Data Platforms Experience designing data architectures on BigQuery or Snowflake . Experience with large-scale enterprise data platforms and modern data warehouse architectures. Strong understanding of cloud data architecture principles. Data Warehousing Technologies Experience with Teradata and enterprise-scale data warehouse environments. Knowledge of performance optimization, partitioning, and scalable data storage strategies. Data Governance &amp; Metadata Management Hands-on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship. Experience defining data lineage, business glossaries, and governance frameworks. Data Integration &amp; Change Data Capture Experience with CDC (Change Data Capture) tools and real-time data integration patterns. Understanding of data replication, streaming, and integration architectures. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus. Key Technology Stack Data Modeling Tools: ERwin or ER/Studio Modeling Methodologies: Data Vault or Kimball Cloud Data Platforms: BigQuery or Snowflake Enterprise Data Warehouse: Teradata Data Governance: Collibra or Alation Data Integration: CDC Tools Architecture Practices: Enterprise Data Architecture and Data Governance and Metadata Management and Data Lineage Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Governance &amp; Management Specialist with 6 12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies. Key Responsibilities Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives. Establish data governance policies, standards, processes, and operating models. Define data ownership, stewardship models, and governance responsibilities across business and technology teams. Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data. Manage metadata, data cataloging, lineage, and business glossary initiatives. Support Master Data Management (MDM) strategies and implementation. Define and implement data classification and data privacy frameworks. Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance. Monitor governance KPIs, data quality metrics, and compliance requirements. Drive adoption of governance practices across enterprise data initiatives. Support regulatory compliance and data protection requirements. Required Technical &amp; Functional Skills Data Governance Frameworks Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles. Experience designing and implementing enterprise data governance operating models. Knowledge of data stewardship, ownership, policies, standards, and governance processes. Data Governance Platforms Hands-on experience with Collibra or Alation for: Data catalog management Metadata management Business glossary creation Data lineage tracking Governance workflow management Data Quality Management Experience with Informatica Data Quality (DQ) or comparable data quality tools. Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes. Master Data Management Experience implementing Master Data Management (MDM) frameworks and processes. Understanding of master data domains, golden records, and data synchronization approaches. Data Classification &amp; Privacy Experience with Data Classification and Data Privacy frameworks. Knowledge of sensitive data identification, protection controls, and compliance requirements. Understanding of privacy regulations and enterprise data protection practices. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus. Key Technology &amp; Capability Stack Data Governance Frameworks: DAMA-DMBOK or NDMO Data Governance Platforms: Collibra or Alation Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage Data Protection: Data Classification and Data Privacy and Compliance Management Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Purpose</b> The Data Management Specialist is responsible for implementing, configuring, and supporting enterprise Data Management solutions, including Data Governance, Data Catalog, Metadata Management, Data Quality, and Data Classification. The role ensures successful onboarding of data assets into governance platforms, maintains metadata integrity, enables data quality monitoring, and supports compliance with organizational policies and regulatory frameworks such as SDAIA, NDMO, and PDPL. The specialist will work closely with business stakeholders, Data Stewards, Data Custodians, and technical teams to ensure effective implementation, operation, and continuous improvement of enterprise data management capabilities throughout the project lifecycle.</p><p>Key Responsibilities</p><ul><li><strong>Data Catalog &amp; Metadata Management</strong> Implement, configure, and maintain enterprise Data Catalog solutions. Ensure all enterprise data assets are inventoried, classified, documented, and governed within the Data Catalog. Develop and maintain metadata models, taxonomies, business glossaries, and metadata standards. Configure metadata harvesting, lineage, and synchronization across enterprise data sources. Support business and technical teams in maintaining accurate metadata and improving data discoverability. Configure and manage workflows supporting metadata management and data classification. Ensure classification labels and metadata standards are consistently applied across data assets.</li><li><strong>Data Governance</strong> Configure and administer Data Governance tools, workflows, dashboards, and policy enforcement mechanisms. Support implementation of enterprise Data Governance policies, standards, and procedures. Collaborate with Data Owners, Data Stewards, and Custodians to operationalize governance processes. Monitor governance compliance and generate governance metrics and reports. Maintain governance documentation in accordance with organizational standards. Support implementation of data ownership, stewardship, and accountability models.</li><li><strong>Data Quality Management</strong> Conduct enterprise-wide data profiling and quality assessments using approved Data Quality platforms. Configure and administer Data Quality tools for profiling, validation, monitoring, and issue management. Design, implement, and maintain business and technical Data Quality rules. Develop automated Data Quality controls, monitoring jobs, alerts, and exception management processes. Monitor Data Quality KPIs and produce dashboards, scorecards, and management reports. Collaborate with business teams to implement remediation and cleansing initiatives. Support continuous improvement of enterprise Data Quality processes. Integrate Data Quality capabilities with Metadata Management and Data Governance platforms.</li><li><strong>Compliance &amp; Regulatory Support</strong> Ensure compliance with SDAIA, NDMO, PDPL, and organizational data management standards. Support implementation of enterprise data classification requirements. Ensure governance controls align with applicable regulatory requirements. Assist in internal and external audits related to Data Governance and Data Quality.</li><li><strong>Stakeholder Engagement &amp; Knowledge Transfer</strong> Work collaboratively with business and technical stakeholders throughout the project lifecycle. Deliver user enablement sessions and technical training on Data Governance and Data Quality tools. Support adoption of enterprise data management practices across business units. Prepare technical documentation, operating procedures, implementation guides, and knowledge transfer materials.</li></ul><p>Qualifications &amp; Experience</p><ul><li><strong>Education</strong> Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or a related discipline.</li><li><strong>Experience</strong> Minimum 5 years of hands-on implementation experience in one or more of the following: Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, Enterprise Data Management initiatives. Experience implementing enterprise Data Governance and Data Quality solutions across large organizations. Experience supporting enterprise data governance operating models and regulatory compliance initiatives.</li><li><strong>Mandatory Skills</strong> Strong Arabic and English communication skills (written and verbal). Strong understanding of enterprise Data Management principles. Experience with Metadata Management and Data Catalog implementation. Strong understanding of Data Governance frameworks. Knowledge of Data Quality methodologies and implementation. Experience with data profiling, cleansing, monitoring, and remediation. Understanding of data lineage and metadata management. Excellent analytical and problem-solving skills. Strong documentation and stakeholder management skills. Ability to work effectively with business and technical stakeholders.</li><li><strong>Regulatory Knowledge</strong> Good understanding of: SDAIA, NDMO, PDPL, Data Classification Framework, Other applicable KSA regulatory standards.</li><li><br></li><li><strong>Preferred Certifications</strong> One or more of the following certifications is preferred: Certified Data Management Professional (CDMP), Data Governance &amp; Stewardship Professional (DGSP), Informatica Professional Certifications, Collibra Ranger Certification, DAMA Certification, Microsoft Azure Data certifications, AWS Data Analytics Certification, Equivalent industry-recognized Data Management certifications.</li><li><strong>Mandatory Requirements</strong> The proposed resource must satisfy the following minimum requirements: Strong English communication skills (written and spoken). Minimum 5 years of relevant implementation experience in Data Governance, Data Quality, Metadata Management, Data Privacy, or related enterprise data management initiatives. Relevant industry certifications and technical qualifications applicable to the role. Demonstrated experience implementing enterprise Data Governance and Data Quality solutions in large organizations. Ability to collaborate effectively with business stakeholders, technical teams, Data Owners, Data Stewards, and compliance functions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Education</strong> Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or a related discipline.</li><li><strong>Experience</strong> Minimum 5 years of hands-on implementation experience in one or more of the following: Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, Enterprise Data Management initiatives. Experience implementing enterprise Data Governance and Data Quality solutions across large organizations. Experience supporting enterprise data governance operating models and regulatory compliance initiatives.</li><li><strong>Mandatory Skills</strong> Strong Arabic and English communication skills (written and verbal). Strong understanding of enterprise Data Management principles. Experience with Metadata Management and Data Catalog implementation. Strong understanding of Data Governance frameworks. Knowledge of Data Quality methodologies and implementation. Experience with data profiling, cleansing, monitoring, and remediation. Understanding of data lineage and metadata management. Excellent analytical and problem-solving skills. Strong documentation and stakeholder management skills. Ability to work effectively with business and technical stakeholders.</li><li><strong>Regulatory Knowledge</strong> Good understanding of: SDAIA, NDMO, PDPL, Data Classification Framework, Other applicable KSA regulatory standards.</li><li><strong>Technical Skills</strong> Candidates should have experience with one of the following technology stacks:<br><strong>Option 1 (Open Source Stack)</strong> Mandatory Combination: OpenMetadata, Great Expectations. Good to Have: Soda Splink, libpostal, OpenRefine, Collate.<br><strong>Option 2 (Enterprise Stack)</strong> Mandatory Combination: Hands-on experience with one or more Informatica products, including: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance &amp; Catalog (CDGC), Cloud Data Quality (CDQ), Enterprise Data Catalog (EDC), Informatica Data Quality (IDQ), Informatica Axon, PowerCenter. Experience with equivalent enterprise Data Governance and Data Quality platforms is also considered valuable.</li><li><strong>Preferred Certifications</strong> One or more of the following certifications is preferred: Certified Data Management Professional (CDMP), Data Governance &amp; Stewardship Professional (DGSP), Informatica Professional Certifications, Collibra Ranger Certification, DAMA Certification, Microsoft Azure Data certifications, AWS Data Analytics Certification, Equivalent industry-recognized Data Management certifications.</li><li><strong>Mandatory Requirements</strong> The proposed resource must satisfy the following minimum requirements: Strong English communication skills (written and spoken). Minimum 5 years of relevant implementation experience in Data Governance, Data Quality, Metadata Management, Data Privacy, or related enterprise data management initiatives. Relevant industry certifications and technical qualifications applicable to the role. Demonstrated experience implementing enterprise Data Governance and Data Quality solutions in large organizations. Ability to collaborate effectively with business stakeholders, technical teams, Data Owners, Data Stewards, and compliance functions.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking a highly skilled Data Engineering &amp; Warehousing Engineer with 3 11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions. Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data. Build and maintain enterprise data warehouses, data lakes, and modern data platforms. Develop real-time and batch data processing solutions. Integrate data from multiple internal and external sources while ensuring data quality and governance. Collaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirements. Optimize data storage, query performance, and pipeline reliability. Implement data security, monitoring, and governance best practices. Troubleshoot and resolve data pipeline and platform issues. Participate in architecture discussions and contribute to data platform modernization initiatives. Required Technical Skills Cloud Data Platforms Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub . Experience with Azure Synapse and Azure Data Factory . Experience with Amazon Redshift and AWS Glue . Data Processing &amp; Streaming Strong experience with Apache Spark and Apache Kafka . Experience building batch and real-time data processing pipelines. Data Transformation Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration. Experience implementing ETL/ELT best practices and reusable data models. Databases &amp; Data Warehousing Strong experience with Oracle or PostgreSQL . Expertise in SQL, relational database design, performance tuning, and query optimization. Data Engineering Experience with data modeling, data governance, metadata management, and data quality frameworks. Knowledge of dimensional modeling and modern data warehouse architectures. Preferred Skills Experience with cloud-native data lake and lakehouse architectures. Knowledge of CI/CD pipelines and Infrastructure as Code (IaC). Familiarity with containerization technologies such as Docker and Kubernetes. Experience supporting machine learning and analytics workloads. Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are a plus. Key Technology Stack Google Cloud Data Services: BigQuery and Dataflow and Dataproc and Pub/Sub Azure Data Services: Azure Synapse and Azure Data Factory AWS Data Services: Amazon Redshift and AWS Glue Data Processing: Apache Spark and Apache Kafka Data Transformation: dbt or Oracle Data Integrator (ODI) Databases: Oracle or PostgreSQL Programming: SQL and Python Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</p><p>3 11 years of professional experience in Data Engineering, Data Warehousing, or Big Data technologies.</p><p>Strong programming and scripting skills using SQL, Python, or similar languages.</p><p>Excellent analytical and problem-solving abilities.</p><p>Experience working in Agile/Scrum development environments.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Engineer, you will play a key role in designing, building, and maintaining scalable data solutions that support analytics, reporting, and integration across client engagements. You will work as part of a consulting team to develop robust data pipelines, data models, and backend systems that transform raw data into reliable, high-quality datasets for business use. You will collaborate with cross-functional teams and client stakeholders to design data architectures, implement ETL processes, and support modern data platforms. This role requires strong technical expertise, the ability to work independently, and experience designing scalable data solutions in a fast-paced, client-facing environment.</p><p>Key Responsibilities:</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and load data from multiple sources</li><li>Develop and optimize complex SQL queries, stored procedures, and database objects for high-performance data processing</li><li>Design and implement data models, including relational, dimensional (star/snowflake), and analytical schemas</li><li>Lead the design and evolution of data warehouse architectures, including staging layers, data marts, and enterprise data models</li><li>Build and maintain data integration solutions using APIs, flat files, and other data exchange mechanisms</li><li>Develop backend data processing and automation solutions using Python</li><li>Ensure data quality, integrity, and consistency through validation, monitoring, and testing processes</li><li>Collaborate with stakeholders to gather requirements and translate them into scalable technical solutions</li><li>Optimize and troubleshoot data systems and pipelines to ensure performance, reliability, and scalability</li><li>Demonstrate ownership of deliverables, ensuring quality, timeliness, and alignment with client expectations</li><li>Produce clear technical documentation including data mappings, data models, and pipeline designs</li><li>Provide guidance on data engineering best practices, including data modelling, pipeline design, and performance optimization</li><li>Contribute to reusable frameworks, standards, and continuous improvement initiatives</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualifications/Requirements:</strong></p><ul><li>Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field</li><li>5+ years of experience in data engineering, software development, or related roles</li><li>Advanced expertise in SQL, including complex queries, joins, aggregations, stored procedures, and performance tuning</li><li>Strong experience with database design and schema development</li><li>Hands-on experience with data warehousing concepts, including staging, data marts, and dimensional modeling</li><li>Proficiency in Python for data processing, scripting, and automation</li><li>Exposure to data warehousing concepts, including staging, data marts, and dimensional modelling</li><li>Experience working with large, complex datasets across multiple systems</li><li>Strong understanding of data modeling techniques (relational and dimensional)</li><li>Strong analytical and problem-solving skills</li><li>Effective written and verbal communication skills</li></ul><p><strong>Additional Requirements / Skills</strong></p><ul><li>Experience with ETL tools such as SSIS, Azure Data Factory, or similar</li><li>Familiarity with cloud data platforms (Azure, AWS, or GCP)</li><li>Experience working with APIs and handling semi-structured data (JSON, XML)</li><li>Exposure to data orchestration tools (e.g., Airflow, Prefect)</li><li>Experience with version control systems such as Git</li><li>Familiarity with BI/reporting tools (e.g., Power BI, Tableau) is a plus</li><li>Experience working with APIs (REST/SOAP) and handling JSON/XML data structures is a plus</li><li>Exposure to data warehousing concepts, including staging, data marts, and dimensional modelling</li><li>Ability to manage multiple priorities in a fast-paced consulting environment</li></ul><p></p></section>

<p>The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.</p><p><b>Key Responsibilities</b></p><ul><li>Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><span>Job Summery</span></b></p> <p><span>The Data Governance Assistant Manager supports CATRION’s enterprise-wide data governance strategy by helping to develop, implement, and maintain frameworks, standards, and controls that ensure information is accurate, secure, well-classified, and compliant with regulations. Working with leadership, business units, and technical teams, this role bridges policy and operations to safeguard sensitive data, maintain integrity, and enable ethical, data‑driven decision-making.</span></p> <p><b><span>Job Description </span></b></p> <p><span>• Support in developing, implementing, and maintaining the organization’s data governance framework, policies, and standards.<br><br>• Assist in defining roles and responsibilities for data ownership and stewardship across business units.<br><br>• Contribute to the classification, cataloguing, and metadata management of enterprise data assets.<br><br>• Support monitoring of data quality, consistency, and integrity; coordinate remediation of identified issues with data owners.<br><br>• Assist in establishing controls for data lifecycle management (creation, usage, retention, archival, and disposal).<br><br>• Contribute to implementing and maintaining data lineage and traceability processes.<br><br>• Support in defining and monitoring KPIs and metrics for data governance effectiveness.<br><br>• Assist in evaluating and integrating tools and technologies for data governance, metadata, and data quality management.<br><br>• Collaborate with IT and Security teams to ensure access management, data protection, and compliance with internal and regulatory requirements.<br><br>• Support in preparing reports, dashboards, and documentation on governance activities, highlighting risks and improvement opportunities.<br><br>• Contribute to awareness sessions and training programs to embed data governance practices across the organization.<br><br>• Support in maintaining an inventory of AI use cases and the data sources they rely on, ensuring proper documentation and traceability.<br><br>• Ensure data used in AI models meets governance standards for quality, accuracy, completeness, and consistency.<br><br>• Contribute to monitoring and documenting data lineage for AI systems, including transformations and ownership of datasets.<br><br>• Assist in assessing and mitigating risks of bias, fairness, and regulatory non-compliance related to datasets feeding AI models.<br><br>• Collaborate with Data Privacy and IT Security teams to ensure AI data processing complies with PDPL, NDMO standards, and NCA DCC requirements.<br><br>• Provide input to policies and guidelines that govern responsible data use in AI systems and analytics.<br><br>• Support the Data Management Office in establishing and maintaining enterprise-wide data governance practices.<br><br>• Contribute to fostering a culture of accountability, ownership, and integrity in the use of organizational data.<br><br>• Act as a trusted partner to business units, IT, and compliance teams to ensure data is accurate, consistent, and accessible.<br><br>• Promote awareness of the importance of data quality and governance in enabling secure, compliant, and value-driven decision-making.<br><br>• Demonstrate continuous learning by staying informed of emerging data governance standards, technologies, and industry best practices.<br><br>• Uphold ethical standards in data handling, ensuring that data is managed in a way that supports both business efficiency and regulatory compliance.</span></p> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 3+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>Role Overview</b></p><p>Own webook s data function end-to-end strategy, team, platform and delivery and be the single person accountable for data at webook. Turn our first-party data into trusted decisions today and a monetisable asset within two to three years, in a regulated environment (PDPL / GDPR / NCA ECC) where data we cannot trust or lawfully use is worthless. Build and lead the team, make the platform reliable, and set webook up to sell data and insight, not just tickets.</p><p>What You ll Own</p><ol><li>Data Strategy &amp; Roadmap Produce webook s first documented data strategy and a phased, costed roadmap within 60 days of start, endorsed by the VP Architecture, Platform &amp; AI and the CTO. Define the target operating model for the data function engineering, analytics, governance and the sequence in which it is built. Own the data platform direction. Lead the managed-vs-self-hosted decision and present a costed recommendation within 90 days , with a clear cost-control model. Align every data initiative to a measurable business outcome; re-prioritise the roadmap quarterly as the economics move.</li><li>Team Leadership &amp; Building the Function Assess, develop and where needed strengthen the existing team; set a clear performance bar and build the capability to meet it. Set quarterly OKRs for each direct report; hold fortnightly 1:1s with written notes; run a monthly team standup with a rolling 90-day delivery view shared with VP Architecture and the CTO. Be a genuine people leader: develop talent and career paths, mentor, and build an engaged, high-performing team. Retention and engagement are explicit success measures, not afterthoughts.</li><li>Data Platform &amp; Engineering Be accountable for reliable, tested, observable pipelines client-facing dashboards accurate and current, with stale or broken data caught before a client ever sees it. Own the platform direction across the modern data stack warehouse / lakehouse, transformation (dbt), orchestration, BI and serving making pragmatic build/buy and managed/self-host calls across open-source ( ClickHouse, Superset ) and major managed platforms ( BigQuery, Snowflake, Databricks ). Institute FinOps discipline: a clear monthly platform budget with alerting; own the platform budget and keep cost predictable and under control. Establish infrastructure-as-code, data observability, and clear SLAs for data delivery.</li><li>Analytics, Insight &amp; Data Products Establish a single source of truth and a governed metrics / semantic layer; eliminate conflicting metric definitions across the business. Raise the bar on analytical quality for internal decisions and for client-facing insight. Build the muscle to ship data products: embedded client analytics, benchmarking, and insight services. Partner with product and commercial to define webook s first paid data / insight product within 12 months, with a credible commercial case.</li><li>Data Governance, Quality &amp; Privacy Ensure data handling meets PDPL, GDPR and NCA requirements classification, access control, residency, and cross-border transfer. Stand up a data catalog and data-quality standards with named ownership across data domains. Define the lawful-basis and controls framework required before any data product ships webook s licence to monetise. Coordinate closely with the Director of InfoSec &amp; Cybersecurity and the GDPR Delivery Lead on data privacy and security.</li><li>Data Monetisation &amp; Commercial Partnership Own the path from internal analytics embedded client insight productised data, sequenced so trust is earned at each step. Work with commercial leadership to size, package and price data and insight products. Build the reliability and governance foundations that make external monetisation possible and defensible.</li><li>Stakeholder Management &amp; Data Culture Be the trusted data partner to the executive team; translate technical work and data risk into commercial language. Drive data literacy and a data as a business enabler culture; remove silos and shift data out of being treated as an IT by-product. Represent data credibly with clients where insight is part of webook s offering.</li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Essential</h2><ul><li>10+ years in data, with at least 3 5 years in a senior data leadership role (Head of Data / Director ) at a technology, SaaS or consumer-platform company.</li><li>Proven track record building and leading high-performing data teams across engineering, analytics and governance a genuine people and team leader, not only a technologist.</li><li>Deep, hands-on understanding of modern data platforms and the modern data stack: warehouses / lakehouses, transformation (dbt), orchestration, BI, and serving layers.</li><li>Experience with open-source platforms (ClickHouse, Superset) AND major managed platforms (BigQuery, Snowflake, Databricks) able to make pragmatic build/buy and managed/self-host decisions with cost firmly in mind.</li><li>Strong command of data engineering and analytics practice: pipelines, dimensional modelling, semantic / metrics layers, data quality and observability.</li><li>Demonstrated ability to turn data into business value ideally including data products or monetisation.</li><li>Working knowledge of data governance and privacy in a regulated environment (PDPL / GDPR a strong plus).</li><li>Commercial fluency: able to translate technical work into business and board-level language.</li><li>A track record of delivering against deadlines with evidence, not just intent.</li></ul><h2>Preferred</h2><ul><li>Experience monetising data or building data products sold externally.</li><li>Familiarity with the KSA and EU regulatory context (PDPL, GDPR, NCA ECC)</li><li>Experience making data AI-ready and enabling ML / analytics at scale.</li><li>FinOps / cloud cost-management experience.</li><li>Relevant qualifications in data, computer science or a related field; cloud or platform certifications (GCP / AWS / Azure, Snowflake, Databricks) a plus.</li><li>Experience in events, ticketing, e-commerce or marketplace businesses.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled Data Administrator to manage, maintain, and optimize enterprise data platforms, ensuring high availability, performance, security, and data integrity. The ideal candidate will have experience administering relational databases, in-memory data stores, and modern data analytics or AI platforms while supporting data governance, backup and recovery, and performance optimization initiatives.</p><p>Key Responsibilities</p><ul><li>Administer, monitor, and maintain enterprise databases and data platforms.</li><li>Ensure database availability, security, performance, and reliability.</li><li>Perform database installation, configuration, upgrades, patching, and migrations.</li><li>Implement backup, recovery, disaster recovery, and high-availability strategies.</li><li>Monitor database health, troubleshoot issues, and optimize system performance.</li><li>Collaborate with application developers, data engineers, and infrastructure teams.</li><li>Support data governance, data quality, and compliance initiatives.</li><li>Maintain technical documentation, operational procedures, and system configurations.</li><li>Participate in capacity planning and implementation of new data technologies.</li></ul><p>Must Have Skills</p><ul><li>Experience with PostgreSQL OR Microsoft SQL Server OR MySQL OR Oracle Database .</li><li>Experience with Redis OR Memcached OR Apache Ignite for in-memory data management and caching.</li><li>Experience with Dataiku DSS OR Vertex AI OR Azure Machine Learning OR Amazon SageMaker OR Databricks .</li><li>Database Administration AND Performance Tuning AND Backup &amp; Recovery AND High Availability AND Disaster Recovery .</li><li>Database Security AND User Access Management AND Data Integrity AND Capacity Planning .</li><li>SQL AND Database Monitoring AND Query Optimization .</li><li>Experience with Linux OR Windows Server administration.</li><li>Familiarity with Git AND GitHub OR GitLab OR Bitbucket .</li><li>Strong analytical, troubleshooting, documentation, and problem-solving skills.</li></ul><p>Good to Have Skills</p><ul><li>Experience with Docker OR Kubernetes .</li><li>Knowledge of cloud platforms AWS OR Azure OR Google Cloud Platform (GCP) .</li><li>Familiarity with ETL OR ELT tools such as Informatica OR Talend OR Apache NiFi OR SSIS .</li><li>Experience with monitoring tools Prometheus OR Grafana OR Zabbix OR Nagios .</li><li>Knowledge of scripting using Python OR Bash OR PowerShell .</li><li>Understanding of Data Governance AND Data Quality AND Master Data Management (MDM) .</li><li>Familiarity with CI/CD AND DevOps practices.</li><li>Experience supporting analytics, reporting, or AI/ML workloads.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Preferred Qualifications</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.</li><li>3 11 years of experience in database administration or data platform administration.</li><li>Experience managing production database environments with high availability and performance requirements.</li><li>Relevant certifications in PostgreSQL, Microsoft SQL Server, cloud platforms, or database technologies are a plus.</li><li>Excellent communication, collaboration, and stakeholder management skills.</li></ul><p></p></section>

<p><b>Job Title Manager </b>- Data Management (Data Governance, Privacy &amp; Quality) Reports To Director / Senior Manager Location Kingdom of Saudi Arabia Direct Reports NA</p><p><strong>Mission / Purpose of the Role</strong><br>The purpose of this role is to support the establishment, implementation and ongoing maintenance of Data Management capabilities within ADCB KSA, ensuring alignment with Group Data Management frameworks, policies, standards and procedures. The role acts as the primary point of contact for Data Governance, Data Privacy, Data Quality and Data Incident Management matters within the subsidiary, translating Group requirements and local regulatory obligations into practical, embedded controls. By delivering credible governance, robust privacy operations and demonstrable data quality improvement, the role protects the client s regulatory standing and reinforces the firm s reputation for integrity and regulatory excellence.</p><p><br></p><ul><li><br></li></ul><p></p><p><strong>Key Accountabilities</strong></p><p><strong>Data Management Framework Implementation</strong><br>Key Responsibilities<br></p><ul><li>Review and adapt Group Data Management policies, standards and procedures for subsidiary adoption.</li><li>Establish subsidiary-specific Data Management governance documentation where required.</li><li>Support implementation of Data Governance, Data Privacy, Data Quality and Data Incident Management frameworks.</li><li>Develop and maintain local operating procedures, guidance documents and governance artefacts.</li><li>Support periodic review and update of local policies to ensure continued alignment with Group and regulatory requirements.</li></ul>Success Indicators<br><ul><li>Local framework documentation approved and adopted.</li><li>Implementation roadmap delivered to plan.</li><li>No material misalignment with Group standards.</li></ul><p></p><p><strong>Data Governance &amp; Oversight</strong><br>Key Responsibilities<br></p><ul><li>Represent Data Management in subsidiary governance committees, Data Steering Groups and working groups.</li><li>Prepare governance materials, reports and management updates for local and Group forums.</li><li>Escalate material data risks, control deficiencies and regulatory concerns to the appropriate management and governance bodies.</li><li>Track remediation actions and ensure timely closure.</li><li>Support implementation of data ownership, stewardship and accountability models.</li></ul>Success Indicators<br><ul><li>Governance packs issued on schedule.</li><li>Risks escalated without delay.</li><li>Actions closed within agreed deadlines.</li></ul><p></p><p><strong>Regulatory Compliance &amp; Risk Management</strong><br>Key Responsibilities<br></p><ul><li>Assess and monitor compliance with applicable UAE, KSA and other relevant regulatory requirements.</li><li>Support regulatory gap assessments and implementation of remediation plans.</li><li>Maintain regulatory compliance trackers and reporting mechanisms.</li><li>Conduct Data Risk Assessments, Privacy Impact Assessments and related evaluations.</li><li>Support regulatory examinations, audits and information requests.</li></ul>Success Indicators<br><ul><li>Gap assessments completed and remediated.</li><li>Trackers accurate and current.</li><li>Regulatory requests answered fully and on time.</li></ul><p></p><p><strong>Data Privacy Operations</strong><br>Key Responsibilities<br></p><ul><li>Maintain Records of Processing Activities (ROPA) and processing inventories.</li><li>Support Data Subject Rights management processes and requests.</li><li>Manage data transfer assessments and privacy-related reviews.</li><li>Review and maintain privacy notices, consent notices and related public disclosures.</li><li>Support investigations into privacy complaints and statutory inquiries.</li><li>Provide advisory support to business stakeholders on privacy requirements and obligations.</li></ul>Success Indicators<br><ul><li>ROPA complete and current.</li><li>DSR requests met within statutory timeframes.</li><li>Privacy notices accurate and approved.</li></ul><p></p><p><strong>Data Incident Management</strong><br>Key Responsibilities<br></p><ul><li>Support identification, assessment, investigation and remediation of data incidents.</li><li>Facilitate Data Breach Assessments and impact assessments.</li><li>Coordinate incident response with business, technology, compliance and risk stakeholders.</li><li>Support regulatory notification assessments and documentation requirements.</li><li>Track remediation actions and lessons learned.</li></ul>Success Indicators<br><ul><li>Incidents managed within framework timelines.</li><li>Notification decisions documented and defensible.</li><li>Lessons learned implemented.</li></ul><p></p><p><br></p><p><strong>Education &amp; Experience</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a hands-on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions.<br> Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.<br> What You'll Do ❏ Validate data displayed across dashboards, reports, web, and mobile applications ❏ Reconcile source data, transformed datasets, and final analytical outputs ❏ Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports ❏ Ensure consistency of metrics across multiple dashboards and reporting platforms ❏ Validate business rules and ensure reported figures align with approved definitions ❏ Identify data discrepancies and investigate inconsistencies before release ❏ Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products ❏ Act as the quality gate before dashboards and reports are released to end users ❏ Log, track, and support the resolution of data quality issues ❏ Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues ❏ Maintain documentation for reconciliation rules, report logic, and validation processes ❏ Contribute to improving reporting standards, validation checklists, and quality practices You're Our Match If You Have ❏ 3–5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance ❏ Hands-on experience validating dashboards, reports, or business intelligence solutions ❏ Strong SQL skills for data validation, reconciliation, and comparison ❏ Experience working with Power BI, Tableau, or similar reporting platforms ❏ Strong understanding of KPIs, metrics, business rules, and calculation logic ❏ Experience working with enterprise data sources such as ERP, CRM, or HCM systems ❏ Excellent analytical skills with exceptional attention to detail ❏ Ability to communicate data issues clearly to both technical and business stakeholders ❏ Strong sense of ownership and commitment to data accuracy Bonus Points If You Have Experience With ❏ Validating analytics for web or mobile applications ❏ Government or enterprise reporting environments ❏ Data governance, reporting standards, or data quality frameworks ❏ Supporting executive-level reporting</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 >About the Data Engineer Infrastructure Role</h3> <p >Jobs AI is seeking a <strong >Data Engineer Infrastructure</strong> for a client located in <strong >Saudi Arabia</strong>. This <strong >contract</strong> position involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. The successful candidate will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.</p> <h3 >Client and Role Context</h3> <p >The client is recognized as a global leader within the <strong >Software Development, Technology, Information and Internet, and Data Infrastructure and Analytics</strong> industries. This role offers the opportunity to contribute to the modernization of data infrastructure and enable advanced analytics capabilities, directly impacting the client's operational efficiency and strategic insights.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.</li> <li >Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.</li> <li >Ensure data integrity, consistency, and security across all data assets and systems.</li> <li >Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.</li> <li >Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates should possess <strong >2-5 years</strong> of experience in a relevant data engineering role. Jobs AI hires based on skills and expertise, welcoming all qualified candidates regardless of background or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p> <h3 >Work Arrangement and Compensation</h3> <p >This is a <strong >contract</strong> position that allows for remote work with flexible hours. The compensation for this role is competitive, ranging from <strong >$30 to $100 per hour</strong>.</p> <h3 >Application Process</h3> <p >Interested candidates are encouraged to apply, demonstrating their technical abilities and qualifications for this Data Engineer Infrastructure role.</p>