Data Entry Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design, construct, and maintain highly scalable and robust ETL/ELT data pipelines from the ground up.</p></li><li><p>Extract and harmonize complex data structures from Microsoft Dynamics and SQL Server into a centralized, analytics-ready single source of truth.</p></li><li><p>Implement rigorous data quality checks, cleansing processes, and automated alerting to ensure AI models are fed with trusted, validated, and high-quality data.</p></li><li><p>Work side-by-side with AI Product Managers, ML Engineers, and Business Analysts to transform raw data into actionable fuel for predictive models such as dynamic pricing engines and AI solutions.</p></li><li><p>Champion data governance, ensuring all data infrastructure complies with privacy regulations and security best practices.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Advanced proficiency in SQL and Python data manipulation and pipeline development.</li><li>Deep expertise in the Microsoft data ecosystem, specifically Azure Synapse Analytics, Azure Data Factory (ADF), and SQL Server.</li><li>Strong expertise in building and orchestrating data pipelines using tools like Apache Airflow, dbt, or similar technologies.</li><li>Experience with big data processing frameworks such as Apache Spark and Kafka.</li><li>Problem-solving mindset with a relentless focus on performance optimization and system reliability (Uptime &amp; Low Latency).</li><li>Previous experience working with retail, e-commerce, or supply chain data.</li><li>Previous experience extracting and transforming data from Microsoft Dynamics using Azure Synapse Link or custom API connectors.</li><li>Familiarity with Machine Learning lifecycles and MLOps tools.</li><li>Knowledge of regional data privacy frameworks (e.g., PDPL).</li><li>Must be open to relocation to Jeddah, Saudi Arabia.</li></ul><p></p></section>

Senior Data Integration Developer (Informatica) - Riyadh, Saudi Arabia<br><br>About The Role<br><br>We are looking for an experienced Senior Data Integration Developer with strong expertise in Informatica Power Center to join our team in Riyadh, Saudi Arabia. In this role, you will be responsible for designing, developing, and optimizing enterprise ETL solutions that support the organization's data warehousing, regulatory reporting, and digital transformation initiatives.<br><br>If you have a strong background in data integration, SQL performance tuning, and banking environments, we'd love to hear from you.<br><br>Key Responsibilities<br><br>Design, develop, and maintain ETL workflows using Informatica Power Center Build scalable and high-performance data integration solutions Analyze business requirements and translate them into technical ETL designs Develop complex SQL and PL/SQL scripts and optimize database performance Ensure data quality, data integrity, and metadata management Perform data profiling, mapping, transformation, and validation Support enterprise data warehouse initiatives and regulatory reporting Troubleshoot ETL failures, performance bottlenecks, and data issues Integrate data from databases, APIs, cloud platforms, flat files, and third-party applications Work closely with business, infrastructure, security, and governance teams Participate in code reviews and mentor junior developers Support CI/CD implementation and automation with Dev Ops teams<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field Strong hands-on experience with Informatica Power Center Solid experience in ETL development and enterprise data integration Strong knowledge of Oracle, SQL Server, SQL, and PL/SQLExperience with Data Warehousing concepts and data modeling Experience with SQL performance tuning Experience integrating data from multiple sources, including APIs and cloud platforms Experience with workflow schedulers such as Control-M or Auto Sys Familiarity with REST/SOAP APIsExperience working with Agile methodologies (JIRA, Confluence) Excellent analytical, communication, and problem-solving skills<br><br>Preferred Qualifications<br><br>Banking or financial services experience Experience with regulatory reporting (Basel III, IFRS 9, FATCA) Experience with Informatica Cloud (IICS), Informatica Data Quality (IDQ), or Data Governance tools Experience with cloud platforms (AWS, Azure, or GCP) Experience with Temenos, Finastra, Moody's, or SAS integrations Informatica certifications are highly preferred<br><br>Location<br><br>???? Riyadh, Saudi Arabia<br><br>Why Join Us?<br><br>Work on enterprise-scale banking and digital transformation projects Collaborate with experienced technology professionals Opportunity to work with modern data integration technologies and cloud platforms Career growth in a dynamic and innovative environment

Job Purpose<br>The Data Privacy Manager is responsible for leading the organization's data privacy program in alignment with the Personal Data Protection Law (PDPL) of Saudi Arabia and other applicable regulations. The role serves as the operational owner of the privacy framework and Data privacy platform , and ensuring that personal data processing activities across the organization meet regulatory requirements, contractual obligations, and internal privacy standards.<br>Duties & Responsibilities<br>Privacy Program & Governance<br>Operate and maintain the organization-wide data privacy program in line with PDPL, SDAIA regulations, and applicable cross-border data transfer requirements. Develop, maintain, and review privacy policies, procedures, standards, and notices. Maintain the Record of Processing Activities (ROPA) and ensure it remains accurate across all business units. Manage data classification, retention, and minimization controls in coordination with the data management and information security functions. Track regulatory developments (PDPL, SDAIA, NDMO, sector-specific guidance) and translate them into actionable internal requirements.<br>Privacy Operations Conduct and oversee Data Protection Impact Assessments (DPIA) and Privacy Impact Assessments (PIA) for new and existing processing activities. Manage the data subject rights (DSR) request lifecycle, including intake, validation, fulfilment, and reporting within regulatory timeframes. Lead the privacy incident response process, including breach assessment, notification to SDAIA and affected individuals, and post-incident remediation. Manage and operationalize Data Privacy technical platform .<br>Education & Experience<br>Working knowledge of the Saudi PDPL, SDAIA regulations, NDMO data management policies, and applicable sector regulations. Familiarity with international privacy frameworks (GDPR, CCPA, ISO 27701, NIST Privacy Framework). Strong understanding of personal data lifecycles, lawful processing bases, cross-border data transfer mechanisms, and privacy-by-design principles. Practical knowledge of privacy-enhancing technologies (PETs), pseudonymization, anonymization, and data masking. Understanding of how privacy controls integrate with information security, IAM, DLP, and data governance functions. Strong analytical, drafting, and stakeholder management skills. Strong understanding or market Data privacy tooling and solutions Ability to translate regulatory requirements into operational controls and platform configurations.<br>Required Skills<br>High level of Arabic and English both written and oral. Knowledge of IT & Cybersecurity High level of communication skills Expert in Microsoft Office such as Power Point and Excel<br>Specialized Knowledge and Certificates:<br>One or more of the following is required: CIPM, CIPP/E, CIPP/US, CDPO, or equivalent. CIPT, CISM, CISSP, or ISO 27701 Lead Implementer/Auditor are an advantage.

About the job Summary:Responsible for the functionality and use of the data, at the domain level and in ensuring that the data is properly defined and used throughout the enterprise. Focus on management of the operational activities around maintenance of Master Data and providing relevant support to the business teams or projects as required. Manages the operational activities around maintenance of medical data and provides relevant support to the business teams or projects.<br>1. Identifies business needs and implements data capabilities and processes, and understands and apply datamanagement standards and policies.2. Works closely with data stewards in different organization entities to assure proper data management.3. Collaborates with business stakeholders and Data & Analytics Services Division to ensure the implementationof rules and policies of Data governance.4. Ensures appropriate representation and participation in medical data governance across the business.5. Designs and constructions of data architectures that enable well-integrated transactional, collaborative andanalytical systems.6. Implements corrective actions to resolve data quality problems.7. Participates in identifying and proposing Data Governance solutions.8. Participates in setting strategic plans for medical data governance programs.9. Coordinates the operations during the deploy and transition phases10. Follows all Hospital’s related Policies and Procedures.11. Participates in self and others' education, training and development, as applicable.12. Performs other related duties as assigned.<br>Education:Master’s or Bachelor’s Degree in Computer Science, Health Informatics, or otherrelated discipline is required. Experience Required:Seven (7) years with Master’s, or nine (9) years with Bachelor’s Degree of relatedexperience is required

Job Title – Enterprise / Data Architect Company – TCS (MEA) Location – Jeddah, KSAJob type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:Key Responsibilities<br>Architecture Ownership Own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, consumption, and governance layers. Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with BANK’s enterprise architecture principles. Ensure robust architectural patterns for batch, near real-time, and historical data processing. Platform & Technology Alignment Ensure architectural consistency and seamless integration across:Cloudera Data Platform Teradata Enterprise Data Warehouse Informatica (ETL, Data Quality, Metadata) Denodo (Data Virtualization & Consumption) Review and approve low-level designs, data flows, and integration patterns across platforms. Phase 1 Remediation Governance Perform architectural assessment and validation of Phase 1 deliverables, including:Data pipelines Logical and physical data models Gold layer aggregations (Teradata) Identify architectural gaps, anti-patterns, and misalignments. Define remediation and rebuild strategies aligned with BANK’s target architecture. Enterprise Data Modeling & Standards Govern the implementation of logical and physical data models aligned to:FSLDM (Financial Services Logical Data Model) FSAS aggregation standards Ensure correctness, consistency, and reusability of enterprise and subject-area models. Validate aggregation logic, hierarchies, and reporting readiness. Governance, Compliance & Security Ensure alignment with:NDMO (National Data Management Office) NDI (National Data Index) BANK data classification, privacy, and security standards Oversee metadata, lineage, data quality, and auditability design. Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements. Performance, Scalability & Resilience Define architecture patterns for:High availability (≥99.9% uptime) Horizontal scalability Disaster recovery and point-in-time restore Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads. Stakeholder & Governance Engagement Act as the primary architectural interface with BANK IT, Data Governance, Security, and Business teams. Participate in architecture review boards, design walkthroughs, and governance forums. Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders.<br>Required Skills & Experience Technical Expertise Strong experience in Enterprise Data Architecture, including:EDW modernisation Data Lake / Lakehouse architectures Medallion architecture patterns Deep understanding of BFSI data domains and enterprise reference models:FSLDMFSASHands-on architectural exposure to:Cloudera CDP (HDFS, Spark, Hive, Kafka) Teradata Vantage Informatica (ETL) Denodo Governance & Compliance Proven experience designing governance-driven architectures:Metadata and lineage Data quality frameworks Security, masking, and encryption Strong understanding of regulatory and compliance-driven data platforms. Non-Functional Design Expertise in:Performance and workload optimization Scalability and capacity planning Resilience, backup, and recovery design Soft Skills Strong communication and stakeholder management skills. Ability to lead cross-vendor and cross-functional technical discussions. Governance mindset with pragmatic delivery orientation.<br>Experience & Qualifications15+ years of experience in data architecture roles, preferably in large BFSI organizations. Proven track record of large-scale data platform transformation programs. Experience working in hybrid delivery models with onsite and offshore teams. Architecture certification(s) or advanced data engineering background preferred.<br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br>Application Deadline: 30- July -2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Greetings from Linnk Group….<br>Job Title: Automation and Data Transformation Specialist Location: Saudi Arabia Contract: Yearly Renewable<br>Role Overview We are looking for an experienced Automation and Data Transformation Specialist to design and implement automated data workflows that improve business efficiency. The ideal candidate should have strong expertise in Python, Alteryx, and Denodo, with experience in data integration, automation, and enterprise reporting. Banking domain experience is preferred.<br><br>Key Responsibilities Develop and automate business workflows using Python, Alteryx, and Denodo. Gather business requirements and prepare BRDs and process documentation. Generate dynamic reports and dashboards in Excel, PDF, and Power Point using enterprise data. Integrate data from EDW and APIs while ensuring data quality and integrity. Collaborate with business and technical teams to deliver automation solutions. Support data governance initiatives and optimize automation performance.<br>Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field.5+ years of experience in data automation and transformation. Strong hands-on experience with Python, Alteryx, Denodo, and Excel automation. Experience with API integration, EDW, and data transformation. Exposure to Collibra or other data governance tools is preferred. Strong analytical, problem-solving, and communication skills. Banking domain experience is preferred. If you are excited share your profile to Ashwija@linnk.com

The Job Summary The Aftersales Data Analyst is responsible for analyzing aftersales-related data; unlocking the power of data to optimize aftersales operations and elevate customer experiences and leveraging his analytical skills and data expertise to translate complex information into actionable insights.<br>Key Responsibilities / Accountabilities Sr #Technical / Job-Specific Competencies1Data Analysis & Insights Develop insightful daily, weekly, and monthly reports on aftersales performance metrics, including appointment tracker data and productivity in accordance with defined KPIs. Analyze vehicle purchase frequency trends, identifying patterns and correlations across different models and car types. Perform exploratory data analysis to uncover hidden patterns, trends, and relationships within complex datasets. Utilize advanced statistical methods and machine learning techniques to extract actionable insights from aftersales data, empowering informed decision-making. Create compelling data visualizations, dashboards, and reports to effectively communicate findings to stakeholders at all levels. Deliver clear, concise, and regular (weekly and monthly) analyses and reports to senior management, fostering data-driven decision-making. Demonstrate proficiency in a range of technical skills, including Power BI, Advanced Excel, data dash boarding tools, SQL and Python. Utilize these skills to extract, manipulate, and analyze large datasets. Compile and enter data from various sources, including databases and collaborating with subject matter experts (SMEs) to leverage their business knowledge and enrich data analysis. Troubleshoot and validate data and reports, proactively identifying and resolving inconsistencies; Take ownership of ensuring data quality and finding solutions to emerging challenges. Adapt quickly to changes in reporting procedures, ensuring all reports remain current, relevant, and aligned with evolving business needs.2Strategic Planning & Business Development Support Provide credible support in strategic planning and business development. Leverage data to plan and implement customer engagement initiatives that enhance customer satisfaction and loyalty. Utilize data analysis to inform strategies that enhance Nissan's agility and scalability within the competitive automotive market. Assist in the aftersales-related projects, including yearly model updates, database skill development initiatives for technicians, integration of new parts and labor operation procedures, and vehicle configuration management. Analyze data to identify opportunities for automation, such as in labor time updates, to reduce idle time and streamline aftersales processes. Collaborate with business leaders to define key performance indicators (KPIs) and metrics that align with strategic objectives for the aftersales department. Build predictive models to anticipate market trends, customer preferences, and product demand for aftersales services and parts. Define the appropriate business analysis techniques, tools, and resources required for each aftersales data analysis project.<br><br>The Job Profile1Educational Qualifications Bachelor’s degree in Computer Science or Business Administration2Professional Certifications Google Data Analytics Professional Certification; CAAP – Certified Automotive Aftermarket Professional3Experience Minimum 3 years experience in data analysis preferably in the automotive industry4Languages Proficiency Fluency in English & Arabic languages

We are looking for a strategic and data-driven leader to build and scale our Data & Business Intelligence function. The ideal candidate will play a key role in shaping the organization’s data strategy, enabling smarter decision-making, and driving measurable business impact.<br>About the Role<br>We are seeking a Head of Data & BI to lead the organization’s data vision, analytics capabilities, and business intelligence initiatives. This role will be responsible for turning data into actionable insights that support business growth, efficiency, and strategic decisions.<br>Key Responsibilities:<br>Define and lead the overall Data & BI strategy. Build and manage scalable analytics, reporting, and BI solutions. Develop dashboards and performance tracking frameworks for business units. Ensure high standards of data quality, governance, and security. Partner with leadership teams to understand business needs and translate them into data solutions. Deliver insights that drive business performance and decision-making. Lead and develop the Data & BI team. Work closely with stakeholders to embed a data-driven culture across the organization. Own and continuously improve the company’s digital measurement framework across web, mobile apps, marketing channels, and analytics platforms to ensure accurate and actionable data collection. Lead the implementation and governance of GA4, GTM (Web & Server-Side), MMPs, and advertising platform tracking solutions to support business, product, and marketing decision-making.<br><br>Requirements<br>Strong experience in Data, Analytics, Business Intelligence, or related fields. Proven experience in leading data or analytics teams. Strong hands-on knowledge of SQL and BI tools (Power BI, Tableau, or similar). Strong analytical thinking and problem-solving skills. Ability to communicate insights clearly to business stakeholders. Experience in building dashboards, reporting systems, and data models. Hands-on experience with Google Analytics 4 (GA4), Google Tag Manager (Web & Server-Side), event tracking architecture, and analytics implementation best practices. Experience with mobile measurement platforms (e.g., Adjust) and advertising platform pixels/conversion APIs, including Google Ads, Meta, and Tik Tok.

Job Description:8+ years of experience in Oracle ERP – Implementation & Support projects with Oracle EBSLead the Data Migration stream (Extraction, Cleansing, Loading), ensuring successful migration of all master and transactional data from third party system into Oracle EBS. Previous experience of Data Migration in Fusion ERP projects Create and maintain a data migration strategy and produce/quality assure other deliverables. Manage data quality across different phases of the data migration and make sure that data is fit for purpose. Knowledge of Data Migration tools Perform and co-ordinate Unit / System Integration testing Ability to communicate in a clear and concise manner working in Integrated Project Teams

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Data Protection &amp; DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed. The role focuses on translating data classification requirements into practical, enforceable controls and reviewing existing data protection measures against industry best practices and NCA ECC standards. Key Responsibilities: Translate data classification into practical controls defining what data is sensitive and how it must be protected. Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable. Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used. Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements. Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies. Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations. Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Arabic Speakers 6 years of relevant experience in data protection, DLP design, and governance. Strong understanding of data classification frameworks and how to operationalize them into technical controls. Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC. Ability to define secure configuration baselines and exception-handling processes. Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases. Strong documentation skills for audit evidence, runbooks, and SOPs. Strong communication skills to deliver training and knowledge transfer to internal teams.</p><p></p></section>

Data Analyst Location: Aseer Region, Saudi Arabia Experience: Minimum 2 years Job Summary:We are looking for a Data Analyst to collect, analyze, and interpret data to support business decisions and improve performance. The ideal candidate should have strong analytical skills and experience in data reporting and visualization. Requirements:Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field. Minimum 2 years of experience as a Data Analyst or in a similar role. Proficiency in SQL and Microsoft Excel. Experience with Power BI, Tableau, or other data visualization tools. Strong analytical and problem-solving skills. Ability to create reports, dashboards, and present insights effectively. Location: Aseer Region (Onsite) Experience Required: 2+ Years.

About the job IT Data Analyst Information Technology Jeddah, Saudi Arabia<br>The Opportunity We are looking for a data-driven professional who can transform complex datasets into meaningful insights, enabling smarter business decisions across multiple functions. This is an exciting opportunity to work with modern analytics technologies while contributing to a growing data-driven culture. This is about turning data into strategic business value.<br>About the Role Reporting to the BI & Analytics Director, the IT Data Analyst will be responsible for delivering analytical insights, developing interactive dashboards, and supporting enterprise reporting initiatives while promoting data quality, governance, and self-service analytics. You will:• Analyze complex datasets to identify trends, patterns, and actionable business insights• Design, develop, and maintain interactive Power BI dashboards and reports across multiple business functions• Translate business requirements into analytical solutions and meaningful KPIs• Collaborate with business stakeholders to understand reporting and analytical needs• Work closely with Data Engineers and Analytics Engineers to ensure data availability and integrity• Develop and maintain Power BI reports, datasets, and visualizations aligned with business requirements• Support data governance initiatives by implementing standardized metrics, definitions, and reporting practices• Perform data validation, quality checks, and troubleshooting to ensure reliable analytical outputs• Leverage AI-powered capabilities within Microsoft Fabric and Power BI, including Copilot, to accelerate insight generation and reporting productivity• Support business users in adopting self-service BI and standardized datasets• Document analytical methodologies, reporting logic, and business definitions• Contribute to continuous improvement of reporting, analytics, and business intelligence capabilities This role will work closely with Business Intelligence, Data Engineering, IT teams, and business stakeholders across Finance, Procurement, Supply Chain, Sales, and other functional areas.<br>Key responsibilities The successful incumbent will be an analytical problem solver who can bridge business requirements with technical solutions while delivering high-quality insights that support strategic decision-making. You will demonstrate:• 3-7 years of experience in data analysis, business intelligence, or analytics• At least 3-5 years of hands-on experience with Power BI, SQL, and business intelligence reporting• Strong experience designing dashboards and data visualizations using Power BI• Proficiency in SQL and experience working with relational databases and data warehouses• Strong knowledge of DAX and Power Query (M) for report development and calculations• Experience with Microsoft Fabric components, including Data Warehouse, Lakehouse, One Lake, and Data Pipelines, is highly desirable• Strong understanding of data modeling principles and business intelligence best practices• Experience translating business requirements into analytical solutions and performance dashboards• Exposure to AI-assisted analytics, Power BI Copilot, and Natural Language Query capabilities is an advantage• Excellent analytical thinking, communication, and stakeholder management skills Professional certifications such as Microsoft Certified: Data Analyst Associate, Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) are highly advantageous.

Job Title: Data Analyst Job Summary We are looking for a detail-oriented and analytical Data Analyst to collect, process, and interpret data to support business decision-making. The ideal candidate should have strong analytical skills, experience working with large datasets, and the ability to present actionable insights through reports and dashboards. Key Responsibilities Collect, clean, and validate data from multiple sources. Analyze large datasets to identify trends, patterns, and business insights. Design, develop, and maintain dashboards and reports using BI tools. Prepare periodic reports and presentations for stakeholders. Write SQL queries to extract and manipulate data. Collaborate with business teams to understand reporting requirements. Monitor key performance indicators (KPIs) and recommend improvements. Perform ad hoc analysis to support business initiatives. Ensure data accuracy, consistency, and integrity. Document data definitions, processes, and analytical methodologies. Required Skills Strong knowledge of SQL for data extraction and analysis. Proficiency in Microsoft Excel (Pivot Tables, Power Query, Advanced Formulas). Experience with visualization tools such as Power BI or Tableau. Knowledge of Python or R for data analysis is preferred. Understanding of statistics and data analysis techniques. Strong problem-solving and critical-thinking skills. Excellent communication and presentation skills. Attention to detail and ability to work with large datasets. Qualifications Bachelor's degree in computer science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.2–6 years of experience as a Data Analyst or in a similar analytical role. Experience working with databases and data warehouses is preferred. Preferred Qualifications Knowledge of ETL processes and data modeling. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with machine learning concepts is an advantage. Relevant certifications in Power BI, Tableau, SQL, or Data Analytics are a plus.

Key Accountabilities Develop enterprise data architecture blueprints, models, standards, and integration patterns. Define canonical models, master data structures, metadata, lineage, and governance principles. Lead data integration across SAP, Azure/Fabric, Power Platform, AWS, Google Analytics, CRM, ERP, ecommerce, and Saa S systems. Provide hands‑on leadership for data warehouses, lakehouses, data marts, pipelines, semantic layers, and MDM. Establish data governance, security, compliance, retention, and access control frameworks. Enable BI, analytics, AI/ML, dashboards, predictive models, and digital use cases. Evaluate vendors, platforms, technologies, and integration/governance tools. Own Fin Ops, licensing governance, cloud/Saa S cost optimization, renewals, and budget control. Qualifications & Experience Bachelor’s in CS/IS/Data Engineering; Master’s preferred.15+ years in data architecture, SAP/Microsoft platforms, data engineering, Saa S/on‑prem integration, analytics, and cost governance. Mandatory certifications: At least one SAP + one Microsoft/Azure/Fabric. Fin Ops certification required or strongly preferred. English required; Arabic preferred. Technical Competencies Enterprise Data Architecture across SAP, Microsoft, Saa S, cloud, on‑prem. Deep expertise in SAP BW/BW4HANA, HANA, Datasphere, SAC. Strong in Azure, Fabric, ADF, Synapse, SQL Server, Power BI, Purview. Integration across Saa S/on‑prem using API, ETL/ELT, event‑driven, batch, real‑time patterns. Advanced data modeling (conceptual → semantic → canonical). Data governance, security, metadata, lineage, compliance. Hands‑on data engineering (pipelines, warehouses, lakehouses, migration). Architecture for BI, analytics, AI/ML, forecasting. Fin Ops & licensing governance across SAP, Microsoft, AWS, Google, Saa S. Mandatory Technical Skills SAP Stack: BW/BW4HANA, HANA modeling, Datasphere, SAC, CDS Views, HANA Calc Views, ADSO, Info Objects, SAP–non‑SAP integration. Microsoft Stack: Azure, Fabric, ADF, Synapse, SQL DB, SQL Server, Power BI, Power Platform, Purview, One Lake/Lakehouse, semantic models. Architecture Tools: ERwin, Power Designer, Sparx EA, Lucidchart, Visio, Draw.io. Google/Digital Analytics: GA4, Tag Manager, Big Query awareness, ecommerce & campaign analytics, web/app data modeling.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job DATA PRIVACY EXPERT <p><strong>About the Role</strong><span> Duncan &amp; Ross is retained by a leading petrochemical client on Saudi Arabia's Eastern Coast to source a senior Data Privacy Expert for a 5-month on-site engagement. You will lead the client's data privacy programme — ensuring full compliance with Saudi Arabia's Personal Data Protection Law (PDPL), the client's parent company privacy requirements, and relevant international standards. This is a senior advisory and implementation role requiring both strategic vision and practical delivery.</span></p><br> <p><strong>What You'll Do</strong></p><br> <ul> <li>Lead the design and implementation of the client's enterprise data privacy programme</li> <li>Ensure compliance with Saudi Arabia's PDPL, SDAIA guidance, and the client's parent company privacy frameworks</li> <li>Conduct privacy impact assessments (PIAs) and data protection impact assessments (DPIAs) across key business processes and systems</li> <li>Develop and maintain privacy policies, notices, consent frameworks, and data subject rights procedures</li> <li>Identify and remediate privacy risks across the data estate — including third-party and vendor relationships</li> <li>Define data retention, deletion, and anonymisation standards</li> <li>Train and advise internal stakeholders on privacy obligations and best practices</li> <li>Liaise with legal, compliance, IT, and business leadership to embed privacy by design</li> <li>Advise on cross-border data transfer controls and third-party data sharing agreements</li> </ul> <p><strong>What We're Looking For</strong></p><br> <ul> <li>10+ years of experience in data privacy, data protection, or privacy law</li> <li>Deep knowledge of Saudi Arabia's PDPL and SDAIA regulatory framework — essential</li> <li>Broader international privacy expertise (GDPR, CCPA, or equivalent) highly valued</li> <li>Experience advising large, complex organisations — energy, industrial, or government-aligned sectors preferred</li> <li>CIPP, CIPM, CIPT, or equivalent privacy certification strongly preferred</li> <li>Ability to engage and advise at General Counsel, DPO, and C-suite level</li> <li>Familiarity with major national energy company privacy and compliance standards in the Gulf region is a strong advantage</li></ul> Vertical:&nbsp; <p>Technology</p><br> <br> <br> </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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers.<br> We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.<br> About the Role We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform .<br> This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems .<br> The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems .<br> You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.<br> This position also involves technical leadership , mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.<br> Key Responsibilities Lakehouse Architecture &amp; Implementation: Design and deploy a unified Data Lakehouse utilizing the Medallion architecture (Bronze, Silver, Gold) and open table formats (e.<br>g., Delta Lake, Apache Iceberg) on cloud infrastructure hosted within Saudi Arabia.<br> Data Ingestion &amp; Pipeline Engineering: Build reusable, automated ingestion frameworks (batch and streaming) capable of processing both structured data (RDBMS, APIs) and unstructured data (PDFs, policy documents) to feed downstream AI models and semantic reasoning engines.<br> Data Quality &amp; Governance: Implement automated data quality "circuit breakers" (completeness, uniqueness, referential integrity) and end-to-end data lineage tracking frameworks.<br> Optimization: Optimize data processing workflows for performance, scalability, and cost-efficiency.<br> System Monitoring and Maintenance: Monitor and maintain data systems, responding to SEVs or other urgent issues to ensure continuous operations.<br> Security &amp; Compliance: Ensure the platform adheres strictly to NCA (National Cybersecurity Authority) and NDMO (National Data Management Office) standards.<br> Implement AES-256 encryption at rest, TLS 1.<br>2+ in transit, robust Key Management Systems (KMS), and centralized audit logging.<br> Access Control Integration: Design and deploy granular Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), integrating seamlessly with existing enterprise Identity Providers (e.<br>g., Active Directory).<br> Capability Building &amp; Handover: Lead hands-on knowledge transfer sessions, pair-programming with client engineers, creating operational runbooks, and conducting "Game Day" failure simulations to ensure the client’s team is fully ready to operate the platform independently.<br> Education: Bachelor</span></div>

Key Responsibilities Develop and maintain the Enterprise Data Architecture and data models. Define enterprise data standards, governance, metadata, MDM, and data lifecycle practices. Design enterprise integration architecture, APIs, and data exchange standards. Ensure alignment with Enterprise Architecture and Digital Transformation initiatives. Embed Security-by-Design principles into data architecture. Ensure compliance with Saudi regulations (DGA, NORA, SDAIA, NDMO, NCA, ECC, and PDPL). Participate in Architecture Review Boards and collaborate with business, cybersecurity, and technology teams.<br>Requirements Bachelor's degree in Computer Science, Information Systems, or a related field (Master's preferred).8+ years of experience in Enterprise Data Architecture or Enterprise Architecture. Strong expertise in:Enterprise Data Modeling & Information Architecture Data Governance, Metadata & Master Data Management API & Integration Architecture Data Warehousing, ETL/ELT, SQL, and Analytics Platforms Security-by-Design and Enterprise Security Architecture Practical experience with Saudi government architecture and cybersecurity frameworks. TOGAF or DAMA CDMP certification required (or equivalent); cloud and security certifications are a plus. Experience with tools such as Sparx EA, Lean IX, Microsoft Purview, Microsoft Fabric, Power BI, or similar is preferred.<br>Preferred Skills Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to lead architecture initiatives and mentor technical teams.

About Acuative Acuative is a global technology services provider delivering advanced network, IT, and digital transformation solutions to enterprise, service provider, and public-sector clients. With a strong regional presence and a track record of delivering large-scale, mission-critical engagements, Acuative combines deep technical expertise with a service-first culture. We are expanding our data and analytics practice and are looking for talented professionals to join a strategic data platform and business intelligence engagement. Role Summary Acuative is seeking a senior Data Strategy and Architecture Expert to shape the strategic direction and technical foundation of an enterprise data platform engagement. You will lead the development of the client's data strategy, define the target Lakehouse architecture, and oversee the platform decisions that underpin the entire program — while ensuring alignment with national data governance and regulatory frameworks. Key Responsibilities Lead the development of the enterprise data strategy, roadmap, and value model. Conduct a BI readiness assessment and translate findings into actionable recommendations. Design the target Lakehouse architecture, including landing, raw, curated, and semantic layers. Define data integration patterns and standards for the platform. Oversee platform provisioning and own key technical architecture decisions. Ensure the architecture and data practices align with applicable regulatory and national frameworks (NDMO, SDAIA, NCA). Provide architectural guidance and quality assurance to the engineering and BI teams throughout delivery. Required Qualifications10+ years of experience in data strategy and data architecture roles. Proficiency with Lakehouse platforms such as Databricks, Azure Synapse, or Snowflake. Deep knowledge of NDMO regulations, SDAIA guidelines, and NCA cybersecurity controls. Demonstrated experience designing layered data architectures (landing, raw, curated, semantic). Strong background in data integration patterns, platform provisioning, and architecture governance. Nice to Have Experience advising executive stakeholders on data strategy and value realization. Relevant certifications (e.g., Databricks, Azure, AWS, Snowflake architecture certifications, TOGAF, DAMA CDMP). Prior experience on public-sector or regulated-industry data programs in the region.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>.</p><br>Job Purpose <br> <p>Leads delivery and execution of enterprise data and analytics solutions, overseeing BI, analytics, and data infrastructure teams to deliver accurate, integrated insights and align data initiatives with business goals.</p><br> <br> <br> <br> <br> <br> <br> <br> <br><br>Key Accountability Areas <br><p>Strategic Leadership in Data &amp; Analytics:</p><br> <ul> <li>Define and drive the overall data and analytics strategy aligned with the organization’s vision, mission, and strategic objectives.</li> <li>Lead the development and execution of enterprise-wide data initiatives, ensuring integration across BI, analytics, and data infrastructure functions.</li> <li>Champion a data-driven culture by promoting the use of analytics in decision-making across business units.</li> </ul> <p>Oversight of BI, Analytics, and Data Infrastructure:</p><br> <ul> <li>Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.</li> <li>Guide the development of advanced analytics models and ensure their alignment with business needs.</li> <li>Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.</li> </ul> <p>Stakeholder Engagement and Collaboration:</p><br> <ul> <li>Act as the primary liaison between the data &amp; analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.</li> <li>Translate complex data concepts into business-friendly language to support executive decision-making.</li> </ul> <p>Innovation and Technology Enablement:</p><br> <ul> <li>Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.</li> <li>Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.</li> </ul> <p>Data Governance and Quality Assurance:</p><br> <ul> <li>Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.</li> <li>Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.</li> </ul><br><br>Role Accountability <br><p>HR Proficiency:</p><br> <ul> <li>Ability to recruit, recognize and cultivate high performers and expose them in order to create a robust second line of management.</li> <li>Ability to recognize low performers and guide them to improve or release them.</li> <li>Ability to treat subordinates equally without any discrimination.</li> <li>Assessment criteria of subordinates is performance that leads to planned results.</li> <li>Ensure availability of delegation of authority matrix to have sufficient delegations as per company policy.</li> </ul> <p>Responsibility:</p><br> <ul> <li>Must take full responsibility for his operation as per the job description and the required deliverables from this position, taking into consideration the general company guidelines.</li> <li>Able to anticipate problems and make the necessary proactive steps to prevent them</li> <li>Ability to take necessary and proper timely decisions.</li> </ul> <p>Delivery<b>:</b></p><br> <ul> <li>Deliver the required results in timely manner with required quality and cost.</li> </ul> <p>Making a Tangible Difference:</p><br> <ul> <li>Must make a tangible difference to his area of operation. and exceed business expectations.</li> <li>Able to transform the corporate goals into business plans.</li> <li>Able to Plan, follow-up and execute those plans, whether they are annual or development plans.</li> <li>Monitor the plan performance and initiate action to strengthen results and take the corrective action accordingly.</li> <li>Provide periodic work progress reports.</li> <li>Responsible for monitoring and controlling budgets and expenses to achieve the optimum cost efficiency.</li> <li>Develop the organizational structure according to the current requirements taking into consideration future and development plans.</li> <li>Ensure availability of job descriptions for all job roles and deploy them.</li> <li>Develop, coordinate well-defined written systems, policies, procedures, and seeking automations opportunities as much as possible.</li> <li>Should be conversant and able to navigate through IT solutions especially those relevant to his job and business.</li> <li>Promote the automated systems and using them fully, to spread its culture.</li> </ul> <p>Quality:</p><br> <ul> <li>Quality is considered as alfanar’s prime competitive advantage as such, managers are expected to act accordingly.</li> </ul> <br><br>Academic Qualification <br>Bachelor Degree in Computer Science or Any relevant field<br><br><br>Work Experience <br>6 to 10 Years<br><br><br>Technical / Functional Competencies <br>Business Analysis<br>Big Data Analytics<br>Data Mining<br><br><br><br> </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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Summary We are seeking a detail-oriented and analytical Data Analyst to support Last Mile Operations through data-driven insights, performance reporting, and workforce analytics. The ideal candidate will be responsible for building operational dashboards, analyzing delivery performance metrics, supporting capacity planning initiatives, and ensuring data quality across reporting systems. This role plays a key part in enabling operational excellence and informed decision-making across cross-functional teams. Responsibilities Build and Maintain Operational Performance Dashboards and Reports Design, develop, and maintain daily, weekly, and monthly KPI dashboards. Automate recurring reports to improve reporting efficiency. Ensure data accuracy, consistency, and timely delivery to stakeholders. Monitor operational performance metrics and reporting health. Analyze Last Mile Operational Data Conduct deep-dive analysis on key metrics including SLA, assignment time, fulfillment rate, UTR, and captain utilization. Identify trends, anomalies, and performance gaps. Perform root cause analysis and provide actionable recommendations. Present findings and insights to operational stakeholders. Support Capacity Planning and Workforce Analytics Analyze workforce utilization and scheduling effectiveness. Combine shift planning data with operational performance metrics. Identify under-planned store-hour combinations and capacity risks. Highlight high-risk time slots and support demand forecasting initiatives. Provide Data Support for Cross-Functional Performance Reviews Prepare weekly and monthly business performance reports. Support Operations, Planning, and Ground Teams with structured data outputs. Deliver insights that enable operational and strategic decision-making. Assist leadership teams during performance review discussions. Maintain and Improve Data Quality and Reporting Infrastructure Standardize reporting inputs and data sources. Identify, investigate, and resolve data discrepancies. Document reporting logic, definitions, and dashboard methodologies. Maintain dashboard version control and reporting governance standards.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Bachelor s degree in Data Science, Statistics, Computer Science, Engineering, or a related field. Experience 1 3 years of experience in Data Analysis, Business Intelligence, or Reporting. Previous experience in logistics, delivery, supply chain, or e-commerce environments is preferred. Experience building operational dashboards and performance reports. Technical Skills Advanced proficiency in Microsoft Excel and/or Google Sheets. Strong SQL skills for data extraction and analysis. Experience with Power BI, Tableau, or similar visualization tools. Ability to work with large datasets and perform advanced data analysis. Knowledge of reporting automation and dashboard development. Preferred Qualifications Certifications in SQL, Python, Power BI, or Data Analytics. Understanding of Last Mile Operations and related KPIs such as SLA, UTR, CPO, Fulfillment Rate, and Utilization Metrics. Strong analytical and problem-solving skills. Ability to translate complex data into actionable business insights.</p><p></p></section>