Data Entry Jobs in Saudi

About the Role We're looking for a Data Engineering & Data Quality Specialist to support enterprise data initiatives by ensuring data quality, consistency, and reliability while contributing to modern data engineering solutions. Key Responsibilities Design and optimize data pipelines. Monitor and improve data quality. Perform data cleansing and validation. Develop data quality rules and controls. Support ETL processes. Collaborate with Data Governance and Analytics teams. Investigate and resolve data quality issues. Maintain data documentation. Qualifications Bachelor's degree in Information Technology or related field. Minimum 5 years of relevant experience. Experience with SQL and ETL tools. Knowledge of data quality methodologies. Familiarity with cloud data platforms is an advantage. Strong analytical and problem-solving skills.

???? We're Hiring: Informatica Data Catalog Analyst???? Location: Saudi Arabia???? Contract Opportunity???? Industry: Banking & Financial Services<br>We're looking for an experienced Informatica Data Catalog Analyst to join a leading banking organisation's Data Governance team in Saudi Arabia. This is an exciting opportunity to help build and maintain the bank's enterprise metadata catalogue, enabling trusted, discoverable, and well-governed data across the organisation.<br>About the Role As an Informatica Data Catalog Analyst, you'll play a key role in developing and maintaining the enterprise metadata catalogue and business glossary using Informatica Enterprise Data Catalog (EDC), Informatica Axon, or Informatica Intelligent Data Management Cloud (IDMC) – Cloud Data Governance & Catalog. You'll work closely with business and technical stakeholders to improve metadata quality, establish data lineage, and strengthen enterprise data governance.<br>Key Responsibilities✔ Ingest, curate, and maintain technical metadata from source systems, databases, and reporting platforms.✔ Build and maintain the enterprise business glossary, linking business terms to technical assets, data owners, and data stewards.✔ Establish, validate, and maintain end-to-end data lineage to support impact analysis, change management, and regulatory compliance.✔ Support Critical Data Element (CDE) onboarding, data classification, and sensitivity labelling across enterprise data assets.✔ Configure stewardship workflows, approvals, and metadata quality standards within the Informatica platform.✔ Promote adoption of the enterprise data catalogue as the organisation's trusted source for metadata.<br>Required Skills & Experienceminimum two years hands-on experience with Informatica Enterprise Data Catalog (EDC) and Informatica Axon, or Informatica IDMC Cloud Data Governance & Catalog Strong understanding of metadata management, business glossaries, data lineage, and data classification Knowledge of banking data domains and regulatory frameworks, including BCBS 239, NDMO, and PDPLUnderstanding of data governance operating models, data ownership, and stewardship Excellent metadata curation, documentation, and stakeholder engagement skills<br>Desirable Experience Experience within banking or financial services Knowledge of enterprise data governance frameworks Experience supporting regulatory and compliance initiatives Exposure to large-scale data transformation or cloud migration programmes Familiarity with SQL and enterprise data platforms<br>???? Interested? Apply today with your CV

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a highly skilled and experienced L2 Data Engineer to join our growing Data &amp; Analytics team.<br> In this role, you will lead the design, development, optimization, and maintenance of scalable enterprise data platforms and cloud-native data solutions.<br> You will work closely with architects, analysts, and business stakeholders to build high-performance data pipelines and modern lakehouse solutions that support advanced analytics, reporting, and data-driven decision-making.<br> This opportunity is ideal for a senior data professional with strong hands-on expertise in Databricks and the Microsoft Azure ecosystem, who is passionate about building reliable, scalable, and optimized data platforms in enterprise environments.<br> KEY RESPONSIBILITIES • Design, develop, and optimize enterprise-scale data pipelines and ETL/ELT workflows using Azure and Databricks technologies.<br> • Architect and implement scalable data ingestion, transformation, and orchestration processes using Azure Data Factory, Databricks, and Azure Synapse Analytics.<br> • Develop high-performance data transformation frameworks using PySpark, Python, and Spark SQL for large-scale distributed data processing.<br> • Optimize SQL queries, Spark jobs, and data workflows to improve performance, scalability, and cost efficiency.<br> • Lead data migration initiatives, including SQL Server migrations and modernization of legacy data platforms.<br> • Implement and maintain Delta Lake architecture, incremental data loading strategies, and enterprise data lake best practices.<br> • Collaborate with architects and cross-functional teams to design robust and scalable data models aligned with business and governance standards.<br> • Monitor and troubleshoot production pipelines, perform root-cause analysis, and implement preventive measures for recurring issues.<br> • Support CI/CD implementation and infrastructure automation for data engineering workflows.<br> • Mentor junior engineers and contribute to engineering standards, reusable frameworks, and technical best practices.<br> • Create and maintain technical documentation including architecture diagrams, pipeline documentation, and operational runbooks.<br> • Evaluate and recommend modern data engineering tools, frameworks, and optimization strategies.<br> 5+ years of professional experience in Data Engineering or related roles.<br> • Strong expertise in Python for enterprise data processing, transformation, and automation.<br> • Advanced hands-on experience with Pandas, PySpark, and Spark SQL for large-scale distributed processing.<br> • Strong experience with Databricks, including cluster management, notebook development, workflow orchestration, Delta Lake, and performance optimization.<br> • Extensive experience building and managing enterprise data pipelines using Azure Data Factory.<br> • Strong working knowledge of Azure Synapse Analytics, particularly Spark pool integration and enterprise data warehousing concepts.<br> • Advanced SQL skills including query optimization, performance tuning, indexing strategies, and troubleshooting.<br> • Strong understanding of data lake architecture, Delta Lake, incremental processing, partitioning, and lakehouse concepts.<br> • Experience implementing data governance, security, access controls, and monitoring within cloud data platforms.<br> • Experience handling production support, troubleshooting, and optimization of enterprise data platforms.<br> NICE TO HAVE • Experience with Terraform for Azure infrastructure provisioning and Infrastructure-as-Code (IaC).<br> • Experience implementing CI/CD pipelines for data engineering deployments.<br> • Exposure to Lakehouse Federation, Delta Sharing, and modern data sharing architectures.<br> • Experience with streaming and near real-time data processing solutions.<br> • Knowledge of DevOps practices and cloud cost optimization strategies.<br> CERTIFICATION REQUIREMENT Candidates are expected to hold or be actively working toward the Databricks Certified Data Engineer Professional certification.<br> This certification validates advanced expertise across the following domains: • Advanced ETL and ELT development using Spark SQL and PySpark • Enterprise-grade pipeline orchestration and optimization • Data modeling and scalable lakehouse architecture • Performance tuning and distributed data processing optimization • Advanced data governance and security implementation • Production-grade data engineering practices within the Databricks ecosystem</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>

Primary Skill/Keywords - Data Architecture, Data Platforms, Analytics Strategy, Data Governance, Lakehouse, Data Engineering Secondary Skill / Keywords - AI Readiness, Cloud Platforms, Data Security, Reporting Strategy, Master Data Management<br>Detailed Job Description:Lead the design and governance of enterprise data platforms. Define data architecture standards, platform strategy, governance frameworks, and target-state analytics capabilities. Oversee data modelling, reporting architecture, data quality, and platform implementation activities. Support AI and analytics enablement through scalable data foundations and governance controls.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job DATA STRATEGIST <p><strong>About the Role</strong></p><br> <p>Duncan &amp; Ross is retained by a leading petrochemical client based on Saudi Arabia's Eastern Coast to source a senior Data Strategist for a short-term, high-impact engagement. Working in alignment with a major national energy company's data governance and digital transformation frameworks, you will define and shape the client's enterprise data strategy — translating business objectives into a clear, actionable roadmap for data capability development.</p><br> <p><strong>What You'll Do</strong></p><br> <ul><li>Develop and articulate the client's enterprise data strategy, aligned with national energy company standards and Vision 2030 digital priorities</li><li>Assess the current state of data maturity across business units and identify capability gaps</li><li>Define strategic priorities for data architecture, data quality, analytics, and AI enablement</li><li>Build the business case for data investments and present recommendations to senior leadership</li><li>Establish data principles, strategic objectives, and measurable outcomes</li><li>Align data strategy with enterprise architecture, IT roadmap, and business transformation goals</li><li>Engage and advise C-suite and executive stakeholders on strategic data decisions</li><li>Produce a clear, prioritised data strategy document and implementation roadmap</li></ul> <p><strong>What We're Looking For</strong></p><br> <ul><li>10+ years of experience in data strategy, enterprise data management, or digital transformation</li><li>Proven track record developing enterprise data strategies for large, complex organisations — ideally in energy, petrochemicals, or industrial sectors</li><li>Strong understanding of data architecture, data governance, analytics, and AI/ML enablement</li><li>Experience working within or alongside major national energy companies in the Gulf region is a significant advantage</li><li>Ability to operate at executive level and translate complex data concepts into business language</li><li>Familiarity with relevant frameworks (DAMA, TOGAF, DCAM, or equivalent)</li></ul> <p>Vertical:<br>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"> 12+ 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>

Senior Data Lake / Data Modeling Consultant – 12-month rolling contract – Riyadh, Saudi Arabia<br>Senior Data Lake / Data Modeling Consultant required to join a multi-year initiative for a leading global brand in Saudi Arabia.<br>12-month rolling contract, multi-year project, offering on-site working in Riyadh, and excellent rates.<br>Key experience required:Proven experience working with Data Lake / Data Modeling Strong technical experience with business-centric data governance knowledge Experienced designing and implementing Data Lake solutions Extensive experience in Data Models, Data Vault, and Snowflake Understanding of ETL design patterns and Data Integration

Muller's Solutions is seeking an experienced Data Engineer with 5-6 years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong expertise in Python, Pandas, Num Py, Airflow, Big Query, SQL, and API development. The candidate will play a key role in building robust data pipelines, processing large datasets, and supporting business-critical applications related to inventory optimization, master data management, and backend services.<br><br>Key Responsibilities<br><br> Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing. Build and optimize data workflows using Apache Airflow. Develop and maintain data processing solutions using Python, Pandas, and Num Py. Design and optimize complex SQL queries and data models in Big Query. Develop and integrate APIs to support data exchange between systems. Implement data ingestion frameworks from various internal and external sources. Perform data cleansing, transformation, and validation to ensure data accuracy and consistency. Develop and maintain processes for master data management. Support inventory optimization initiatives by implementing data processing and business logic. Build and maintain backend services that enable data-driven applications. Monitor and troubleshoot data pipelines to ensure reliability and performance. Collaborate with cross-functional teams, including Product, Analytics, and Engineering teams. Ensure adherence to data governance, security, and best practices<br><br>Requirements<br><br>Technical Requirements<br><br>Must-Have Skills<br><br> 5-6 years of experience in Data Engineering or related roles. Strong hands-on experience with: Python Pandas Num Py Apache Airflow Google Big Query SQL API development and integration Experience in designing and implementing scalable ETL/ELT pipelines. Strong understanding of data modeling, data transformation, and database concepts. Experience working with large-scale datasets and optimizing query performance. Proficiency with version control systems such as Git. Good-to-Have Skills<br><br> Experience with PySpark and distributed data processing. Basic understanding of Machine Learning concepts and workflows. Familiarity with data quality frameworks and data validation practices. Experience with Docker and containerization technologies. Knowledge of CI/CD pipelines and Dev Ops practices. Experience working in cloud-based data environments. <br><br>Preferred Qualifications<br><br> Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Experience working on enterprise-scale data platforms and data-driven applications.

Müller's Solutions is on the lookout for a talented Data Architect to join our team. In this role, you will be responsible for designing and implementing comprehensive data architectures that align with the organization's strategic goals. Your expertise will contribute to managing data effectively, ensuring high data quality, and supporting data analytics efforts across various departments. You will collaborate with cross-functional teams to drive the development of innovative data solutions that enhance business processes.<br><br>Responsibilities:<br><br>Design, implement, and manage complex data architectures that support business objectives Develop and maintain data models, database schemas, and data flow diagrams Collaborate with business analysts and stakeholders to gather data requirements and translate them into architectural specifications Establish and enforce data governance policies and best practices Conduct data quality assessments and implement solutions for data cleansing and accuracy Oversee data integration efforts with various systems, ensuring seamless data flow Work with IT teams to optimize database performance and storage solutions Continuously evaluate and adopt new technologies to enhance data architecture Provide mentorship and guidance to junior data professionals Stay updated on industry trends and advancements in data architecture and management<br><br>Requirements<br><br>Requirements:<br><br>Bachelor's degree in Computer Science, Information Technology, or related field Proven experience as a Data Architect or a similar role Strong expertise in data modeling and database design Experience with data integration tools and ETL processes Familiarity with data governance frameworks and best practices Proficient in SQL, as well as experience with database management systems (e.g., Oracle, SQL Server, MySQL) Solid understanding of data security principles and practices Analytical mindset with excellent problem-solving skills Strong communication and interpersonal skills Ability to work collaboratively in a team-oriented environment<br><br>Benefits<br><br>Why Join Us:<br><br>Opportunity to work with a talented and passionate team.<br><br>Competitive salary and benefits package.<br><br>Exciting projects and innovative work environment.

As a Data Quality Consultant at Müller's Solutions, you will be responsible for ensuring the accuracy, consistency, and completeness of data across the organization. Your role will involve assessing data quality issues, designing and implementing data quality improvement initiatives, and providing guidance to stakeholders on best practices for data management. In this position, having experience with Informatica, a leading data integration and quality tool, will be highly beneficial.<br><br>Responsibilities:<br><br>Assess data quality issues and identify root causes Design and implement data quality improvement strategies Create and enforce data quality standards and procedures Develop data quality metrics and KPIsImplement data profiling and cleansing processes Collaborate with cross-functional teams to resolve data quality issues Provide guidance and support to stakeholders on data quality best practices Monitor and report on data quality performance Stay updated with the latest trends and advancements in data quality management<br><br>Requirements<br><br>Requirements:<br><br>Bachelor's degree in Computer Science, Information Technology, or a related field Proven experience as a Data Quality Consultant or in a similar role Strong understanding of data quality principles and methodologies Experience with Informatica Proficiency in data profiling and cleansing techniques Excellent analytical and problem-solving skills Strong communication and collaboration skills Ability to work effectively with cross-functional teams Knowledge of data governance principles is a plus<br><br>Benefits<br><br>Why Join Us:<br><br>Opportunity to work with a talented and passionate team.<br><br>Competitive salary and benefits package.<br><br>Exciting projects and innovative work environment.

Job Summary:The Manager, Data Protection is responsible for developing, implementing, and managing the organization's data protection strategy to ensure the confidentiality, integrity, and availability of corporate and customer information. The role oversees data governance, data classification, encryption, data loss prevention (DLP), privacy compliance, backup and recovery, and regulatory compliance while minimizing data-related risks.<br>Key Responsibilities Develop and implement enterprise-wide data protection policies, standards, and procedures. Lead the organization's Data Loss Prevention (DLP) program. Establish and maintain data classification and handling standards. Ensure sensitive data is properly protected through encryption, masking, tokenization, and access controls. Oversee backup, disaster recovery, and data retention strategies. Monitor compliance with applicable data protection and privacy regulations. Conduct data protection risk assessments and recommend mitigation plans. Collaborate with IT, Legal, Risk, Compliance, and business units to safeguard organizational data. Evaluate and implement data protection technologies and security tools. Prepare reports, dashboards, and metrics for senior management.<br>Qualifications Bachelor's degree in Computer Science, Information Security, Cybersecurity, Information Systems, or a related field. Master's degree is preferred.<br>Experience8–10+ years of experience in information security, data protection, governance,...etc, with at least 3 years in a managerial role.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Delivery Consultant for Technology Expert Labs Data Integration within IBM's Data Platform, you will provide clients with world-class services to optimize the configuration, deployment, adoption, usage, and analysis of their Data Integration products. This role involves working with various Data Integration products, including Astronomer, Data Replication, Databand, DataStage, Project Unite, and StreamSets.</p><br><br><p>Your primary responsibilities will include:</p><br><br><p>* Implement Data Integration Solutions: Deliver expert services to optimize the configuration, deployment, adoption, usage, and analysis of Data Integration products for clients, ensuring seamless integration and effective data management.</p><br><br><p>* Support Client Adoption: Collaborate with clients to understand their Data Integration needs and provide tailored solutions to enhance their product adoption and usage, driving business value and customer satisfaction.</p><br><br><p>* Analyze Data Integration Products: Apply technical expertise to analyze Data Integration products, identifying areas for improvement and opportunities to optimize client configurations and deployments.</p><br><br><p>* Deliver World-Class Services: Provide exceptional services to clients, leveraging expertise in Data Integration products to drive successful outcomes and exceed client expectations.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Preferred education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* Data Integration Product Knowledge: Exposure to Data Integration products, including Astronomer, Data Replication, Databand, DataStage, Project Unite, and StreamSets, with the ability to analyze and optimize their configuration, deployment, adoption, usage, and analysis.</p><br><br><p>* Technical Expertise in Data Integration: Experience working with various Data Integration technologies, with the ability to implement and deliver expert services to optimize Data Integration solutions for clients.</p><br><br><p>* Configuration and Deployment: Exposure to configuring and deploying Data Integration products, with the ability to identify areas for improvement and opportunities to optimize client configurations and deployments.</p><br><br><p>* Data Analysis and Management: Experience working with data management principles, with the ability to analyze Data Integration products and provide tailored solutions to enhance client adoption and usage.</p><br><br><p>* Solution Implementation: Exposure to implementing Data Integration solutions, with the ability to deliver world-class services to clients and drive successful outcomes.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* Additional Data Integration Tools: Exposure to other Data Integration tools and technologies, with the ability to quickly learn and adapt to new products and solutions.</p><br><br><p>* Advanced Data Analysis: Experience working with advanced data analysis concepts, including data modeling, data warehousing, and data governance, with the ability to apply this knowledge to optimize Data Integration solutions.</p><br><br><p>* Cloud-Based Data Integration: Exposure to cloud-based Data Integration products and technologies, with the ability to implement and deliver expert services to optimize cloud-based Data Integration solutions for clients.</p><br><br> <br> <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>

ABOUT THE JOB<br>Position Title: Senior Data Engineer Location: Jeddah, Saudi Arabia Type: Full-time Saudi Nationals are encouraged to apply.<br>ABOUT PROVEN<br>PROVEN is committed to providing equal opportunities for all candidates and empowering its employees through continuous personal and professional development. We foster a collaborative and inclusive work environment built on mutual respect, innovation, and a healthy work-life balance. With a strong track record in recruitment, managed services, and workforce solutions, we take pride in being a trusted long-term partner in driving success for both our clients and our people.<br>ABOUT THE ROLE <br>We are looking for a highly skilled Data Engineer to design, build, and maintain robust data solutions that enable data-driven decision-making across the organization. The position requires extensive experience in data engineering, data processing, and developing scalable data architectures that support analytical and operational needs.<br>Key Responsibilities<br>Design, develop, and maintain scalable data pipelines and data integration processes. Build and optimize data architecture, data models, and storage solutions. Collect, transform, cleanse, and validate data from multiple internal and external sources. Ensure data quality, integrity, consistency, and governance standards are maintained. Monitor and optimize the performance and reliability of data platforms and pipelines. Collaborate with business stakeholders, analysts, and technical teams to understand data requirements and deliver appropriate solutions. Support reporting, analytics, and advanced data initiatives by preparing high-quality datasets. Implement data security and privacy controls in line with organizational policies. Troubleshoot and resolve data-related issues in a timely manner. Evaluate emerging technologies and recommend enhancements to improve data capabilities and operational efficiency.<br><br>REQUIREMENTS<br>Education / Qualification<br>Bachelor’s degree in information systems, Software Engineering, Data Science, or a related field.<br>Experience<br>Minimum of 5 years of experience in the field of Data Science, Data Engineering, or related data disciplines. Strong experience with database technologies and data modeling concepts. Experience supporting business intelligence, reporting, and analytics initiatives.<br>Skills & Attributes<br>Strong analytical and problem-solving abilities. Excellent communication skills. Ability to work independently while collaborating effectively across multidisciplinary teams.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - Data Quality & Observability based in Saudi Arabia.<br><br>This role offers the opportunity to design and strengthen enterprise-scale data quality and observability capabilities within a modern data environment.<br><br>You will take ownership of building frameworks that improve trust, reliability, and transparency across critical business data systems.<br><br>The position focuses on implementing automated validation, monitoring, and governance practices that prevent data issues before they impact operations.<br><br>You will collaborate with engineering, product, quality, and support teams to establish scalable data standards and best practices.<br><br>This is a high-impact opportunity for a senior data professional who enjoys solving complex data challenges and driving continuous improvement.<br><br>You will help shape the future of data reliability through innovative engineering solutions, automation, and cloud-based technologies.<br><br>Accountabilities<br><br>The Senior Data Engineer - Data Quality & Observability will lead the design and implementation of scalable data quality frameworks, ensuring enterprise data assets remain accurate, reliable, and actionable. The role combines technical execution, process improvement, and cross-functional collaboration to establish strong data governance and observability practices.<br><br>Design and implement a scalable enterprise data quality framework across data platforms and business domains. Lead the implementation and operationalization of GX Core (Great Expectations) or similar data validation solutions. Develop reusable data quality rules using a Rule-as-Code approach. Build automated validation checks for critical datasets, workflows, and operational processes. Implement data observability solutions, including monitoring, alerting, reporting, and quality dashboards. Define and maintain data lineage across key business areas. Create validation processes covering data completeness, accuracy, integrity, consistency, reconciliation, freshness, and anomaly detection. Integrate data quality checks into CI/CD pipelines and engineering release processes. Develop reporting solutions to track data quality trends and operational health metrics. Investigate recurring data issues, perform root cause analysis, and implement preventive improvements. Partner with Data Engineering, Application Engineering, QA, Product, and Support teams to establish clear ownership and governance practices. Define standards for validation frequency, remediation workflows, quality metrics, and long-term observability strategies. Continuously improve data engineering practices and promote reliable, scalable data solutions.<br><br>Requirements<br><br>The ideal candidate is a senior data engineering professional with strong experience building enterprise data platforms, implementing quality frameworks, and improving data reliability through automation and observability. They should have strong technical expertise, analytical thinking, and the ability to collaborate effectively with multiple engineering teams.<br><br>5+ years of experience as a Data Engineer or in a similar data engineering role. Proven experience designing and implementing enterprise-level data quality frameworks. Hands-on experience with GX Core (Great Expectations) or comparable data quality tools such as Soda. Strong SQL skills and experience working with databases such as Aurora Postgre SQL and Amazon Redshift. Experience designing data validation rules, reconciliation processes, and observability solutions. Strong background in building and maintaining ETL pipelines and large-scale data workflows. Understanding of data modeling, referential integrity, synchronization processes, and batch processing. Experience integrating automated data validation into CI/CD pipelines. Familiarity with Git workflows and engineering practices such as Rule-as-Code. Experience creating dashboards, monitoring systems, alerts, and operational reporting. Strong problem-solving skills with experience conducting root cause analysis. Ability to collaborate effectively with cross-functional engineering and business teams. Excellent communication, documentation, and knowledge-sharing skills.<br><br>Benefits<br><br>Fully remote work opportunity. Opportunity to build enterprise-scale data quality and observability solutions. High-impact role with ownership over data reliability strategy and engineering standards. Collaboration with experienced teams across Data Engineering, QA, Product, and Application Engineering. Exposure to modern data validation frameworks, cloud data platforms, and observability technologies. Opportunity to drive continuous improvement and influence long-term data engineering practices.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Saudi Aramco SMP Opportunity - Senior and Lead Corporate Data Officer</p><p><br></p><p><b>Technical Requirements:</b></p><p>&nbsp;• 5-10 Experience with large-scale data governance and data privacy, architecture and AI governance, practices.</p><p>• Strong understanding of data related governance regulatory requirements.</p><p>• Strong understanding of industry leading data quality framework.</p><p>• Understand KSA Data Privacy law.</p><p>• Extensive experience in AI and ML.</p><p>• Experience in GRC and understand responsible AI and AI regulations&nbsp;</p><p><br></p><p><b>Certification Required:</b></p><p>&nbsp;• CDMP Certifications (Preferred)</p><p>• Data Privacy Certifications (Preferred)</p><p>• Architecture Certifications e.g. TOGAF (Nice to have)</p><p><br></p><p><b>Preferred Major:</b></p><p>Bachelor’s degree in-</p><p>• Computer Science</p><p>• Information Systems</p><p><br></p><p><b>GPA Scale</b></p><p>• 4 Scale GPA: Minimum threshold (No Preference)</p><p>• 5 Scale GPA: Minimum threshold (No Preference)</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Skills Required</p><p>• Informatica suite of Applications (EDC, IDQ, AXON, MDM)</p><p>• Data Governance Frameworks, Operating Models</p><p>• Data Quality Management</p><p>• Data Privacy</p><p>• Data Architecture</p><p>• Data Modeling</p><p>• AI Governance&nbsp;</p><p>• AI Auditing</p><p>• AI Engineer</p><p>• Data scientist</p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The purpose of this role is to collect, clean, analyze, and interpret data to support decision-making and reporting across the organization. The Data Analyst will ensure data accuracy and usability while leveraging tools such as spreadsheets, databases, and statistical software to extract meaningful insights that inform business strategies and operational improvements.</p> <p><strong>Job Duties and Responsibilities</strong></p> <ul> <li>Collect data from various sources to support decision-making and reporting needs</li> <li>Clean and preprocess data to ensure accuracy, consistency, and usability</li> <li>Analyze data using statistical methods and analytical techniques to extract meaningful insights</li> <li>Interpret data findings and translate them into actionable business recommendations</li> <li>Utilize spreadsheets, databases, and statistical software to manage and manipulate data effectively</li> <li>Create reports and visualizations to communicate data-driven insights to stakeholders</li> <li>Maintain and update databases to ensure data integrity and accessibility</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Qualifications</strong></p> <ul> <li>Data Collection</li> <li>Data Cleaning</li> <li>Data Analysis</li> <li>Data Interpretation</li> <li>Spreadsheets</li> <li>Databases</li> <li>Statistical Software</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Technical Requirements • 5-10 Experience with large-scale data governance and data privacy, architecture and AI governance, practices.<br> • Strong understanding of data related governance regulatory requirements.<br> • Strong understanding of industry leading data quality framework.<br> • Understand KSA Data Privacy law.<br> • Extensive experience in AI and ML.<br> • Experience in GRC and understand responsible AI and AI regulations Skills Required • Informatica suite of Applications (EDC, IDQ, AXON, MDM) • Data Governance Frameworks, Operating Models • Data Quality Management • Data Privacy • Data Architecture • Data Modeling • AI Governance • AI Auditing • AI Engineer • Data scientist Bachelor’s degree in Computer Science / Information Systems.<br> Work Experience 5-10 years Certification Required • CDMP Certifications (Preferred) • Data Privacy Certifications (Preferred) • Architecture Certifications e.<br>g. TOGAF</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>

About Müller's Solutions:<br><br>Müller's Solutions is a leading provider of cutting-edge SAP consulting services aimed at helping organizations harness the power of their data. We specialize in innovative, custom solutions designed to meet the unique needs of our clients, ensuring they can achieve their business goals effectively and efficiently.<br><br>Job Overview:<br><br>We are currently looking for a talented SAP Business Data Cloud Consultant to join our team on a remote basis. In this role, you will be responsible for implementing and managing SAP Business Data Cloud solutions, enabling clients to optimize their data management strategies. You will collaborate with business stakeholders to define data governance frameworks, data architecture, and data quality standards, ensuring the efficient use of data across the organization.<br><br>Requirements<br><br>Requirements:<br><br>Bachelor's degree in Computer Science, Data Management, Information Systems, or a related field3 to 5 years of experience working with SAP Business Data Cloud or similar data management platforms Proven experience in data governance, data quality management, and data modeling Strong knowledge of SAP Business Technology Platform and integration with other SAP solutions Experience with data transformation processes, ETL tools, and data visualization tools Excellent understanding of cloud-based data architecture and best practices for data management Ability to define and implement data governance frameworks to ensure compliance and data integrity Strong analytical and problem-solving skills to assess business requirements and develop suitable solutions Excellent communication skills to collaborate effectively with clients and stakeholders Experience working in a remote environment, demonstrating self-motivation and accountability Relevant SAP certifications (e.g., SAP Certified Technology Associate) are a plus<br><br>Benefits<br><br>Why Join Us:<br><br>Opportunity to work with a talented and passionate team.<br><br>Competitive salary and benefits package.<br><br>Exciting projects and innovative work environment.

Are you an experienced technology leader with a passion for building enterprise data platforms and leading high-performing engineering teams? We are looking for a Data Platform & Management Manager to drive our organization's data platform strategy, analytics capabilities, and data governance initiatives. This is an exciting opportunity to lead enterprise-scale data engineering and analytics programs while ensuring compliance with Saudi data management regulations and industry best practices.<br>Key Responsibilities Lead the strategy, development, and operation of the enterprise data platform and data management functions. Manage and mentor multidisciplinary teams, including Data Engineers, Analytics Developers, Solution Architects, Infrastructure Engineers, and Data Management Specialists. Drive enterprise data governance initiatives aligned with SDAIA, NDMO, and NCA regulations. Define and execute the roadmap for analytics platforms, data engineering, and enterprise data management. Oversee the implementation of scalable, secure, and high-performance data platforms. Champion Agile delivery, Dev Ops, CI/CD, engineering best practices, and continuous improvement. Collaborate with executive leadership and business stakeholders to deliver data-driven solutions that create measurable business value. Ensure successful delivery of analytics products, engineering projects, and data platform initiatives within scope, budget, and timelines. Promote innovation by evaluating emerging technologies and implementing modern data engineering practices.<br>Qualifications Bachelor's Degree in Computer Engineering, Computer Science, Information Technology, Cybersecurity, or a related field. Minimum 9 years of experience in technology, data engineering, or data platform management. At least 4 years of managerial experience leading technical teams.<br>Preferred Technical Skills Enterprise Data Platforms Data Engineering & Data Management Cloud Platforms (AWS, Azure, or Google Cloud) Data Warehousing & Big Data Technologies Dev Ops, CI/CD, Git & Version Control Agile & Scrum Methodologies JIRA and Azure Dev Ops Data Governance & Compliance Distributed Storage Technologies (HDFS, HBase, Apache Ozone, Apache Solr) Enterprise Analytics Solutions<br>What We're Looking For Strong leadership and people management skills. Strategic thinker with excellent stakeholder management abilities. Experience leading enterprise-scale digital transformation and analytics initiatives. Strong communication and presentation skills with the ability to engage executive leadership. Passion for innovation, continuous improvement, and building high-performing teams.<br>Also, You can forward your CV through below link for more upcoming Job vacancies: https://cv-fnrco.

Job Purpose The Data Analyst is responsible for analyzing, validating, and transforming organizational data into meaningful insights that support strategic, clinical, operational, and financial decision-making. The role ensures high data quality, accuracy, and consistency while enabling data-driven culture across the organization in alignment with the Data Management Office (DMO) frameworks and governance standards. Roles and Responsibilities:Organizational Accountabilities:Analyze large datasets to extract meaningful insights and support hospital operations. Create regular reports and dashboards for all domains in the corporate. Work with stakeholders to understand data needs and translate them into actionable reports. Ensure data accuracy and integrity in all analytical outputs. Support ad-hoc data requests from leadership teams. Deliver accurate, timely, and actionable insights. Ensure compliance with organizational data policies and healthcare regulations. Maintain documentation for reports, dashboards, and analytical models. Continuously improve analytical processes and methodologies. Support enterprise initiatives related to performance management and strategic planning. Functional Accountabilities:Data Analysis & Insights Analyze large and complex datasets from clinical, operational, and financial systems. Identify trends, patterns, risks, and opportunities to support executive decision-making. Perform ad-hoc and recurring analysis as requested by leadership and business units.2. Reporting & Dashboards Design, develop, and maintain dashboards and reports using BI tools (Power BI, Tableau). Ensure reports meet business requirements and are user-friendly. Automate recurring reports to improve efficiency and reduce manual effort.3. Data Quality & Integrity Validate data accuracy, completeness, and consistency across data sources. Identify data quality issues and work with Data Owners and Data Stewards to resolve them. Support implementation of data quality rules and monitoring mechanisms.4. Stakeholder Engagement Gather and document business requirements from clinical, operational, and financial stakeholders. Translate business needs into analytical models and reporting solutions. Act as a bridge between business teams and technical teams.5. Data Governance Support Support DMO initiatives related to data governance, data standards, and metadata. Ensure analytical outputs comply with data governance policies and healthcare regulations. Assist in maintaining data definitions, KPIs catalogs, and business glossaries.6. Advanced Analytics & Enablement Use SQL, Python, or R for advanced analysis when required. Support predictive and descriptive analytics initiatives. Promote data literacy and best practices across the organization.<br><br>Job Qualifications and Requirements:4–10 years of experience in data analytic preferably within the healthcare sector. Strong knowledge of enterprise data architecture frameworks (TOGAF, DAMA-DMBOK). Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) and data platforms. Strong skills in statistical analysis and data visualization. Proficiency in data analysis tools (e.g., Excel, Power BI, Tableau). Certification in Data Analysis (e.g., Microsoft Certified Data Analyst). Proficiency in SQL and statistical software (e.g., R, Python). Familiarity with healthcare data standards and reporting requirements. Education and Certifications:Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (required). TOGAF Certified (Enterprise Architecture) (highly desirable). CDMP (Certified Data Management Professional) (preferred). Skills:Proven expertise in healthcare and government sectors, with strategic planning capabilities. Strong skills in communication, mediation, and conflict resolution. Deep understanding of data architecture, analysis, and visualization. Excellent administrative and organizational skills. Good communication skills in Arabic and English (verbal and written). Strong proficiency in Microsoft Office (Word, Excel, Power Point, Outlook). Ability to prepare clear reports, meeting minutes, and maintain accurate records. Attitude:Strong Work Ethic Dependability and Responsibility Possessing a Positive Attitude Adaptability Honesty and Integrity Self-Motivated Motivated to Grow and Learn Strong Self-Confidence

General Description<br>We are seeking an experienced Informatica Enterprise Data Catalog (EDC) Analyst to support enterprise metadata management and data governance initiatives within a leading banking organization.<br>The successful consultant will work with Data Governance, Data Architecture, and Business teams to implement and maintain Informatica Enterprise Data Catalog (On-Premises), ensuring enterprise-wide metadata discovery, lineage, cataloging, and governance.<br>This is a 6-month onsite contract in Riyadh with expected extension.<br>Key Responsibilities Configure, maintain, and support Informatica Enterprise Data Catalog (EDC) On-Premises across enterprise environments. Perform metadata harvesting from databases, ETL tools, reporting platforms, and enterprise applications. Build and maintain enterprise metadata repositories and business glossaries. Develop and maintain end-to-end data lineage across critical banking systems. Support data classification, metadata management, and catalog governance activities. Collaborate with Data Governance, Data Architecture, and Business teams to improve metadata quality and usability. Perform impact analysis to support system enhancements and regulatory initiatives. Maintain metadata standards, naming conventions, and governance documentation. Assist in identifying data owners, data stewards, and critical data elements across the organization. Troubleshoot metadata scanning, lineage, and catalog-related issues. Support enterprise data governance initiatives, audits, and compliance reporting. Provide user support, documentation, and training related to Informatica EDC capabilities.<br>Required Skills Strong hands-on experience with Informatica Enterprise Data Catalog (EDC) On-Premises. Experience configuring, maintaining, and administering Informatica EDC environments. Strong understanding of metadata management, metadata harvesting, and metadata repositories. Experience implementing and maintaining enterprise data catalogs and business glossaries. Strong knowledge of data lineage, impact analysis, and source-to-target mapping. Experience with Informatica Power Center, ETL processes, and enterprise data integration. Strong SQL skills and experience working with Oracle, SQL Server, or other enterprise databases. Knowledge of enterprise Data Governance, Data Stewardship, and Data Management frameworks. Experience documenting metadata standards, governance processes, and technical documentation. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Ability to collaborate with business, architecture, governance, and engineering teams. Experience working within Agile or hybrid delivery environments.<br>Preferred Experience Banking or financial services industry experience. Experience implementing enterprise Data Governance programs. Experience with Informatica Axon and broader Informatica Data Governance solutions. Experience working with enterprise data warehouses, data lakes, or analytical platforms. Familiarity with banking data domains, including customer, accounts, payments, loans, treasury, and risk. Knowledge of BCBS239, Basel, AML, KYC, or other financial regulatory requirements. Experience supporting metadata governance, data stewardship, and regulatory reporting initiatives. Exposure to cloud migration or hybrid data platform environments. Informatica certifications are highly desirable.