Database Developer Jobs

<h3 >Role Overview</h3> <p >Masterworks, an IT services company, is seeking a <strong >Personal Data Protection, Senior Specialist</strong> for a full-time position. This role is central to establishing, implementing, and maintaining effective personal data protection and privacy practices across the organization.</p> <h3 >Core Purpose</h3> <p >The Senior Specialist will support compliance with applicable personal data protection laws, regulations, policies, and internal controls. A key aspect of this role involves ensuring personal data is appropriately managed and protected throughout its lifecycle, requiring close collaboration with various internal teams.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the implementation and continuous improvement of the organization's personal data protection and privacy framework.</li> <li >Monitor and support compliance with applicable personal data protection laws, regulations, policies, and standards.</li> <li >Develop, review, and maintain personal data protection policies, procedures, guidelines, and controls.</li> <li >Support the identification, assessment, and mitigation of personal data protection and privacy risks.</li> <li >Support the classification, handling, storage, retention, and secure processing of personal data.</li> <li >Assist in assessing data processing activities and identifying privacy and data protection requirements.</li> <li >Support privacy and data protection assessments, audits, and compliance reviews.</li> <li >Monitor and report on personal data protection compliance, risks, and control effectiveness.</li> </ul> <h3 >Interdepartmental Collaboration and Guidance</h3> <p >This role requires collaboration with Information Security, Risk, Legal, IT, Data Management, and business teams on data protection initiatives. The specialist will provide guidance to relevant stakeholders on personal data protection requirements and best practices, and support awareness and training initiatives related to personal data protection and privacy.</p> <h3 >Experience Requirements</h3> <p >Candidates for this position should possess <strong >5 to 10 years of relevant experience</strong> in personal data protection and privacy practices.</p> <h3 >Continuous Improvement</h3> <p >The Senior Specialist is expected to stay informed about changes in personal data protection laws, regulations, standards, and industry practices. This includes contributing to the continuous improvement of personal data protection processes, controls, and governance practices within Masterworks.</p>

<div dir="rtl"><h3 >About Ninja and the Opportunity</h3> <p >Ninja نينجا is seeking a dedicated <strong >Master Data Specialist</strong> to join our team in Jeddah, Makkah, Saudi Arabia. This full-time position is crucial for maintaining the accuracy and consistency of critical business data across our operations. We are looking for a professional with 5-10 years of experience in master data management to contribute to our continued growth in the region.</p> <h3 >Role Purpose</h3> <p >The Master Data Specialist plays a pivotal role in upholding the integrity and reliability of master data across various organizational systems. This position is responsible for implementing and maintaining high data quality standards, supporting data-driven initiatives, and collaborating with diverse teams to ensure seamless data flow and accuracy.</p> <h3 >Key Responsibilities</h3> <ul > <li >Maintain and accurately update master data records across various systems, including ERP and CRM platforms.</li> <li >Ensure data integrity and consistency by conducting regular audits and validation processes.</li> <li >Collaborate with cross-functional teams to gather and validate data requirements effectively.</li> <li >Provide support for data migration and cleanup projects as needed.</li> <li >Develop and document master data management processes and best practices.</li> <li >Deliver training and support to users on master data standards and established procedures.</li> <li >Monitor and promptly resolve data quality issues to minimize business impact.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Diploma in a related field.</li> <li >5-10 years of professional experience in a master data management role.</li> <li >Proficiency with Excel, including advanced tools like XLOOKUP, for maintaining and updating master data to ensure accuracy and consistency.</li> <li >Demonstrated strong attention to detail and commitment to data accuracy.</li> <li >Good communication and collaboration skills.</li> <li >Ability to manage multiple tasks and prioritize effectively in a dynamic environment.</li> <li >Experience with data cleansing and validation tools is considered a plus.</li> </ul> <h3 >Work Environment and Location</h3> <p >This full-time position is based in Jeddah, Makkah, Saudi Arabia. The role operates within a collaborative environment, requiring interaction with various departments to ensure consistent and accurate master data across the organization.</p> <h3 >Application Process</h3> <p >Qualified candidates are encouraged to apply for this Master Data Specialist position. Salary details will be discussed confidentially during the interview process.</p></div>

Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.<br><br>Job Description<br><br>Hunger Station is hiring a Senior Data Engineer I to design, build, and scale our data platform and processing frameworks that power analytics, AI-driven applications, and business intelligence across the organization.<br><br>This role sits at the core of our data ecosystem focusing on scalability, reliability, and performance of data systems.<br><br>You Will Be Working On<br><br>Design, implement, and extend scalable data platforms and architectures Build and maintain high-performance data pipelines and data models using Big Query Optimize datasets and workloads for performance and cost efficiency Develop analytics-ready data models, semantic layers, and governed metrics Build backend services and APIs using Python or Java to support data applications Contribute to AI-enabled data use cases (e.g., automated insights, conversational analytics) Improve system reliability by addressing technical debt and scaling challenges Implement best practices across CI/CD, testing, monitoring, and deployment automation Manage and optimize cloud infrastructure supporting the data platform Collaborate with cross-functional teams to ensure data quality and engineering standards Ensure compliance with data governance, privacy, and security standards Improve monitoring frameworks and operational resilience of the data platform Support initiatives to enhance data quality, reliability, and system stability<br><br>Qualifications<br><br>5–8 years of experience in Data Engineering or similar roles Bachelor’s degree in Computer Science, Engineering, or related field Master’s or relevant certifications are a plus Strong experience building scalable distributed data systems Hands-on with GCP (Big Query preferred) Proven experience with ETL/ELT pipelines and data modeling Experience with modern data stack (Airflow, dbt, Looker) Strong SQL skills and understanding of relational data systems Experience with Python or Java for backend/data services Familiarity with Infrastructure-as-Code (Terraform preferred) Experience with CI/CD, testing, and monitoring practices Exposure to AI-driven data applications or LLM integrations is a plus<br><br>Additional Information<br><br>We offer relocation support globally to our permanent employees. Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community. Develop your skills with your personal educational budget for conferences and external training. Access our e-learning platform Linked In and participate in our various in-house training programs And much more…

<h3 >About the Role</h3> <p >Masterworks, an IT services company, is seeking a <strong >Data Availability, Senior Specialist</strong> to join its team. This is a full-time position for a professional with 5-10 years of experience in data management. The role focuses on supporting the effective management, accessibility, and availability of organizational data.</p> <h3 >Role Purpose and Contribution</h3> <p >The Senior Specialist will contribute to key data management initiatives, assess compliance with relevant data requirements, and support projects aimed at enhancing data accessibility and governance. This position requires close collaboration with both business and technical stakeholders to ensure data is managed effectively, remains accessible, and aligns with organizational standards and requirements.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the implementation and continuous improvement of data availability and data management practices.</li> <li >Manage and contribute to projects related to data accessibility, availability, and management.</li> <li >Assess compliance with applicable data management requirements, policies, and controls.</li> <li >Prepare compliance assessments, reports, and recommendations for improvement.</li> <li >Support the development and implementation of data management policies, procedures, and standards.</li> <li >Collaborate with business, IT, data, and other stakeholders to identify and address data availability requirements.</li> <li >Monitor data management activities and support the identification and resolution of data-related issues.</li> <li >Contribute to improving data accessibility, usability, and availability across the organization.</li> <li >Support data management governance activities and ensure alignment with organizational policies and standards.</li> <li >Prepare and present reports, updates, and recommendations to relevant stakeholders.</li> <li >Build effective relationships with internal stakeholders and support cross-functional data initiatives.</li> <li >Stay up to date with developments, standards, and best practices in data management and data governance.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Information Technology, Computer Science, Data Management, Information Systems, or a related field.</li> <li >Minimum of <strong >5 years of relevant experience</strong> in data availability, data management, data governance, or a related field.</li> <li >Experience in project management and delivering data-related initiatives.</li> <li >Practical experience and knowledge of data management principles, processes, and practices.</li> <li >Experience in compliance assessment, monitoring, and reporting is preferred.</li> </ul> <h3 >Essential Skills and Certifications</h3> <ul > <li >Strong knowledge of data management and data governance concepts.</li> <li >Good understanding of data availability, accessibility, and management practices.</li> <li >Ability to assess compliance against data-related requirements, policies, and controls.</li> <li >Strong reporting and analytical skills, with the ability to translate findings into clear recommendations.</li> <li >Strong communication and stakeholder management skills.</li> <li >Ability to build and maintain effective relationships with business and technical stakeholders.</li> <li >Strong project coordination and organizational skills.</li> <li >Good problem-solving and analytical capabilities.</li> <li ><strong >Certifications:</strong> Certified Data Management Professional (CDMP), Certified Information Privacy Manager (CIPM), or Certified Information Privacy Technologist (CIPT).</li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Master Works is seeking a Personal Data Protection, Senior Specialist to support the organization in establishing, implementing, and maintaining effective personal data protection and privacy practices.<br> The role will be responsible for supporting compliance with applicable personal data protection laws, regulations, policies, and internal controls, while working closely with business, legal, risk, information security, and technology teams to ensure personal data is appropriately managed and protected throughout its lifecycle.<br> Key Responsibilities Support the implementation and continuous improvement of the organization's personal data protection and privacy framework.<br> Monitor and support compliance with applicable personal data protection laws, regulations, policies, and standards.<br> Develop, review, and maintain personal data protection policies, procedures, guidelines, and controls.<br> Support the identification, assessment, and mitigation of personal data protection and privacy risks.<br> Collaborate with Information Security, Risk, Legal, IT, Data Management, and business teams on data protection initiatives.<br> Support the classification, handling, storage, retention, and secure processing of personal data.<br> Assist in assessing data processing activities and identifying privacy and data protection requirements.<br> Support privacy and data protection assessments, audits, and compliance reviews.<br> Monitor and report on personal data protection compliance, risks, and control effectiveness.<br> Provide guidance to relevant stakeholders on personal data protection requirements and best practices.<br> Support awareness and training initiatives related to personal data protection and privacy.<br> Keep up to date with changes in personal data protection laws, regulations, standards, and industry practices.<br> Contribute to the continuous improvement of personal data protection processes, controls, and governance practices.<br> Education Bachelor's degree in information technology , Computer Science, Cybersecurity, Law , or another related field.<br> Experience 5+ years of relevant professional experience in data access, data protection, privacy, information security, data governance, risk, compliance, or a related field.<br> Experience in personal data protection, privacy, risk management, or information security is highly preferred.<br> Experience working with data protection policies, frameworks, controls, and compliance requirements.<br> Knowledge &amp; Skills Good knowledge of Personal Data Protection laws, regulations, policies, and compliance requirements.<br> Strong understanding of data protection and information security principles.<br> Knowledge of data classification, data privacy, data handling, and information protection practices.<br> Understanding of privacy and data protection risks and related controls.<br> Ability to interpret regulatory requirements and translate them into practical policies, processes, and controls.<br> Strong analytical, problem-solving, communication, and stakeholder management skills.<br> Ability to work effectively with cross-functional teams, including Legal, Risk, Information Security, IT, and business functions.<br> Preferred Certifications Certified Information Privacy Manager (CIPM) Certified Information Privacy Technologist (CIPT) Location : Client Site</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 >About Tata Consultancy Services</h3> <p >Tata Consultancy Services (TCS) is a global IT services, consulting, and business solutions organization with over 50 years of experience partnering with leading businesses worldwide in their transformation journeys. As part of the Tata group, India's largest multinational business group, TCS operates with over 616,171 consultants across 53 countries, delivering a consulting-led, cognitive-powered portfolio of services through its Location Independent Agile™ delivery model.</p> <h3 >The Role: Oracle Cloud Data Migration Consultant</h3> <p >TCS is seeking an experienced <strong >Oracle Cloud Data Migration Consultant</strong> to join its team in the Makkah region, specifically in Jeddah or Makkah cities. This full-time role requires a professional with 5-10 years of experience, focusing on leading and executing complex data migration activities for Oracle Cloud implementations.</p> <h3 >Key Responsibilities</h3> <ul > <li >Lead data extraction, mapping, transformation, and validation activities.</li> <li >Build and execute migration loads utilizing FBDI, ADFDi, HDL (for HCM), and REST APIs.</li> <li >Develop comprehensive data templates, mapping sheets, and cleansing guidelines for business users.</li> <li >Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li> <li >Perform mock loads, data reconciliations, and provide support for cutover and post-go-live activities.</li> <li >Troubleshoot data load errors and ensure the successful and auditable completion of data migrations.</li> <li >Contribute to strategizing the overall Data Archival strategy.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of professional experience in data migration, specifically with Oracle Cloud.</li> <li >Strong hands-on experience with Oracle Cloud data migration tools including FBDI, ADFDi, HDL, and REST APIs.</li> <li >Proficiency in Fusion data models and a good understanding of Oracle Cloud module data structures.</li> <li >Demonstrated experience with data validation, reconciliation processes, and managing large-volume migration cycles.</li> </ul> <h3 >Essential Skills</h3> <ul > <li >Good SQL skills for data manipulation and analysis.</li> <li >Excellent communication abilities to articulate complex data concepts and requirements.</li> <li >Strong collaboration skills for effective teamwork with business and functional teams.</li> </ul> <h3 >Work Environment and Location</h3> <p >This is a full-time position based in the Makkah region, with opportunities in both Jeddah and Makkah cities. The consultant will contribute to a dynamic global IT services environment, supporting critical data transformation initiatives.</p>

We are seeking a highly skilled Oracle Fusion Cloud Data Migration Consultant with 3-5 years of Oracle Fusion Cloud technical experience and a strong focus on data migration projects. The ideal candidate will possess hands-on expertise in Oracle HCM Data Loader (HDL), FBDI-based data migration, and data reconciliation processes across Oracle Fusion HCM, Finance, and Procurement modules.<br>Responsibilities:<br>Execute end-to-end data migration activities for Oracle Fusion Cloud implementation and transformation projects. Perform data extraction, cleansing, transformation, validation, and loading from legacy systems into Oracle Fusion Cloud applications. Develop and maintain data mapping documents, conversion rules, migration strategies, and technical specifications. Utilize Oracle HCM Data Loader (HDL) to load and validate Core HR and workforce-related business objects. Prepare, configure, and troubleshoot HDL data files and resolve data load issues. Execute data migrations using FBDI templates for General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Fixed Assets (FA), Suppliers, and Purchase Orders (POs). Create and optimize SQL and PL/SQL scripts for data extraction, transformation, validation, and reconciliation. Conduct data profiling, quality assessments, and cleansing activities to ensure data accuracy and completeness. Execute multiple mock migration cycles and support full production cutover activities. Perform source-to-target data reconciliation and prepare detailed reconciliation and validation reports. Identify, analyze, and resolve migration defects, data inconsistencies, and load failures. Collaborate closely with functional consultants to understand business requirements and migration dependencies. Support User Acceptance Testing (UAT) by validating migrated data and addressing data-related issues. Document migration processes, mapping logic, validation results, and deployment activities. Ensure adherence to project standards, data governance policies, and data quality requirements. Monitor migration progress, provide status updates, and proactively escalate risks or issues. Work independently on assigned migration tasks while coordinating effectively with project teams and stakeholders. Support continuous improvement of migration processes, tools, and best practices to enhance project delivery efficiency. Requirements:<br>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.3-5 years of hands-on Oracle Fusion Cloud technical experience. Strong experience in Oracle Fusion Cloud data migration projects. Proven hands-on expertise with Oracle HCM Data Loader (HDL) across Core HR business objects. Strong hands-on experience using FBDI templates for Oracle Finance and Procurement data migration. Advanced SQL and PL/SQL development skills. Experience with data extraction, transformation, validation, and reconciliation processes. Experience executing multiple mock migration cycles and production cutover support. Ability to work independently on migration-related technical activities with minimal supervision. Strong analytical and problem-solving skills. Excellent attention to detail and commitment to data accuracy and quality. Strong verbal and written communication skills. Ability to work collaboratively within cross-functional and multicultural teams.

We are looking for an experienced Data Engineer at Manager level with 8 to 10 years of experience to join an advanced analytics engagement based in Riyadh. You will work as part of a small, senior delivery team, building and optimizing the data pipelines and analytics infrastructure that power a client's advanced analytics program, with a focus on procurement and cost-optimization use cases.<br><br>What You'll Do<br><br>❑ Design and build scalable data pipelines and ETL/ELT workflows on Snowflake, integrating with Data IQ and Sigma<br><br>❑ Develop and optimize Python-based data engineering workflows within the client's environment<br><br>❑ Translate procurement and cost-optimization analytics requirements into robust, production-grade data solutions<br><br>❑ Structure and model data to support advanced analytics and decision-intelligence use cases<br><br>❑ Embed data quality, governance, and lineage standards across all pipeline stages<br><br>❑ Engage directly with client stakeholders to clarify requirements and present technical approaches<br><br>❑ Own day-to-day delivery of the data workstream, including planning and quality of deliverables<br><br>❑ Collaborate with a small, senior project team — including a data architect and a junior data resource<br><br>Requirements<br><br>❑ 8-10 years of data engineering experience, ideally including time at a Big 4 firm or strategy / technology consulting firm<br><br>❑ Strong hands-on experience with Snowflake; familiarity with Data IQ and Sigma Computing is a strong plus<br><br>❑ Proficient in Python and SQL for data engineering and pipeline development<br><br>❑ Experience with procurement, sourcing, or cost-optimization analytics use cases<br><br>❑ Solid understanding of data modeling, ETL/ELT design, and data quality practices<br><br>❑ Comfortable working directly within a client's technical environment under data sovereignty constraints<br><br>❑ Able to interface with client stakeholders and communicate clearly with non-technical audiences<br><br>❑ Willing and able to work on-site in Riyadh on a full time or hybrid basis (2-3 days per week)<br><br>You're Our Match If You Have<br><br>❑ A track record of delivering data engineering workstreams on client-facing consulting engagements<br><br>❑ Strong command of Snowflake-based architectures and modern analytics stacks<br><br>❑ Comfort operating in fast-paced, deadline-driven project environments<br><br>❑ The ability to own your workstream with minimal oversight while coordinating with a small delivery team<br><br>❑ Professional experience in Saudi Arabia or the wider GCC<br><br>❑ Availability to start within the next month and commit to a 4-6 month contract<br><br>Bonus Points If You Have Experience With<br><br>❑ Data IQ or Sigma Computing specifically<br><br>❑ Procurement or sourcing analytics and cost-optimization use cases<br><br>❑ A Big 4 firm, global systems integrator, or strategy consulting firm<br><br>❑ Arabic data sets<br><br>❑ Working under data residency / sovereignty constraints in client environments

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Healthcare / Medical Data Analyst responsible for analyzing healthcare and medical datasets to generate actionable insights, develop dashboards, support performance monitoring, and improve clinical and operational decision-making.</p><p>The role requires close collaboration with clinical, policy, and analytics teams.</p></div></section>

<h3 >About Tata Consultancy Services</h3> <p >Tata Consultancy Services (TCS) is a global IT services, consulting, and business solutions organization with over 50 years of experience partnering with leading businesses worldwide in their transformation journeys. As part of the Tata group, India's largest multinational business group, TCS operates with over 616,171 consultants across 53 countries, delivering a consulting-led, cognitive-powered portfolio of services through its Location Independent Agile™ delivery model.</p> <h3 >The Role: Oracle Cloud Data Migration Consultant</h3> <p >TCS is seeking an experienced <strong >Oracle Cloud Data Migration Consultant</strong> to join its team in the Makkah region, specifically in Jeddah or Makkah cities. This full-time role requires a professional with 5-10 years of experience, focusing on leading and executing complex data migration activities for Oracle Cloud implementations.</p> <h3 >Key Responsibilities</h3> <ul > <li >Lead data extraction, mapping, transformation, and validation activities.</li> <li >Build and execute migration loads utilizing FBDI, ADFDi, HDL (for HCM), and REST APIs.</li> <li >Develop comprehensive data templates, mapping sheets, and cleansing guidelines for business users.</li> <li >Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li> <li >Perform mock loads, data reconciliations, and provide support for cutover and post-go-live activities.</li> <li >Troubleshoot data load errors and ensure the successful and auditable completion of data migrations.</li> <li >Contribute to strategizing the overall Data Archival strategy.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of professional experience in data migration, specifically with Oracle Cloud.</li> <li >Strong hands-on experience with Oracle Cloud data migration tools including FBDI, ADFDi, HDL, and REST APIs.</li> <li >Proficiency in Fusion data models and a good understanding of Oracle Cloud module data structures.</li> <li >Demonstrated experience with data validation, reconciliation processes, and managing large-volume migration cycles.</li> </ul> <h3 >Essential Skills</h3> <ul > <li >Good SQL skills for data manipulation and analysis.</li> <li >Excellent communication abilities to articulate complex data concepts and requirements.</li> <li >Strong collaboration skills for effective teamwork with business and functional teams.</li> </ul> <h3 >Work Environment and Location</h3> <p >This is a full-time position based in the Makkah region, with opportunities in both Jeddah and Makkah cities. The consultant will contribute to a dynamic global IT services environment, supporting critical data transformation initiatives.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 2191 - ProcureNet - Master Data &amp; Catalogue Manager <br> <br> <ul> <li> <strong>Company</strong> <br> ProcureNet <br> </li> <li> <strong>Job Family</strong> <br> Procurement <br> </li> <li> <strong>City</strong> <br> KSA - Riyadh <br> </li> <li> <strong>Department</strong> <br> Operations <br> </li> <li> <strong>Closing Date</strong> <br> 01-Nov-2026 <br> </li> </ul> <br> Role &amp; Responsibilities <br> <p><span>As a&nbsp;</span><strong><span>Master Data &amp; Catalogue Manager</span></strong><span>, you will lead the governance and continuous improvement of procurement master data and catalogue content, ensuring data accuracy, consistency, and operational excellence across ProcureNet's digital procurement platforms.</span></p><br><ul><li><p><span>Own and manage procurement master data and catalogue governance.</span></p><br></li><li><p><span>Maintain accurate product, supplier, and pricing data to support efficient operations.</span></p><br></li><li><p><span>Lead supplier catalogue onboarding, classification, and content management activities.</span></p><br></li><li><p><span>Develop and enforce data standards, taxonomy structures, and governance processes.</span></p><br></li><li><p><span>Monitor data quality and drive continuous improvement through auditing and data cleansing.</span></p><br></li><li><p><span>Produce reports, dashboards, and KPIs to measure catalogue performance and operational efficiency.</span></p><br></li></ul> <br> <br> Qualifications <br> <ul><li><p><span>Bachelor's degree in Business, Supply Chain Management, Information Systems, Commerce, or a related field.</span></p><br></li><li><p><span>Minimum 5 years' experience in procurement master data, catalogue management, or ERP data management.</span></p><br></li><li><p><span>Strong experience with Microsoft Dynamics 365 or a similar ERP platform.</span></p><br></li><li><p><span>Experience with procurement or eCommerce platforms such as SAP Ariba, Coupa, Oracle, or Jaggaer.</span></p><br></li><li><p><span>Strong understanding of catalogue governance, product taxonomy, UNSPSC classification standards, and supplier data management.</span></p><br></li><li><p><span>Advanced Excel and reporting skills, with the ability to analyze data and produce meaningful business insights.</span></p><br></li></ul> <br> <br> Note: you will be required to attach the following: <br> <ol> <li>Resume/CV</li> </ol> <br> <br> <br> I agree with the Privacy Statement <br> <br> <br> Back <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>

We are looking for an experienced Data Engineer at Manager level with 8 to 10 years of experience to join an advanced analytics engagement based in Riyadh. You will work as part of a small, senior delivery team, building and optimizing the data pipelines and analytics infrastructure that power a client's advanced analytics program, with a focus on procurement and cost-optimization use cases.<br><br>What You'll Do<br><br>❑ Design and build scalable data pipelines and ETL/ELT workflows on Snowflake, integrating with Data IQ and Sigma<br><br>❑ Develop and optimize Python-based data engineering workflows within the client's environment<br><br>❑ Translate procurement and cost-optimization analytics requirements into robust, production-grade data solutions<br><br>❑ Structure and model data to support advanced analytics and decision-intelligence use cases<br><br>❑ Embed data quality, governance, and lineage standards across all pipeline stages<br><br>❑ Engage directly with client stakeholders to clarify requirements and present technical approaches<br><br>❑ Own day-to-day delivery of the data workstream, including planning and quality of deliverables<br><br>❑ Collaborate with a small, senior project team — including a data architect and a junior data resource<br><br>Requirements<br><br>❑ 8-10 years of data engineering experience, ideally including time at a Big 4 firm or strategy / technology consulting firm<br><br>❑ Strong hands-on experience with Snowflake; familiarity with Data IQ and Sigma Computing is a strong plus<br><br>❑ Proficient in Python and SQL for data engineering and pipeline development<br><br>❑ Experience with procurement, sourcing, or cost-optimization analytics use cases<br><br>❑ Solid understanding of data modeling, ETL/ELT design, and data quality practices<br><br>❑ Comfortable working directly within a client's technical environment under data sovereignty constraints<br><br>❑ Able to interface with client stakeholders and communicate clearly with non-technical audiences<br><br>❑ Willing and able to work on-site in Riyadh on a full time or hybrid basis (2-3 days per week)<br><br>You're Our Match If You Have<br><br>❑ A track record of delivering data engineering workstreams on client-facing consulting engagements<br><br>❑ Strong command of Snowflake-based architectures and modern analytics stacks<br><br>❑ Comfort operating in fast-paced, deadline-driven project environments<br><br>❑ The ability to own your workstream with minimal oversight while coordinating with a small delivery team<br><br>❑ Professional experience in Saudi Arabia or the wider GCC<br><br>❑ Availability to start within the next month and commit to a 4-6 month contract<br><br>Bonus Points If You Have Experience With<br><br>❑ Data IQ or Sigma Computing specifically<br><br>❑ Procurement or sourcing analytics and cost-optimization use cases<br><br>❑ A Big 4 firm, global systems integrator, or strategy consulting firm<br><br>❑ Arabic data sets<br><br>❑ Working under data residency / sovereignty constraints in client environments

Data Governance Specialist | Reef Group <br>Position Title: Data Governance Specialist Location: Riyadh, Saudi Arabia Job Type: Full-Time<br>About the Role:We are seeking a highly skilled Data Governance Specialist to establish, maintain, and optimize data governance frameworks across the organization. The role requires strong knowledge of governance standards, regulatory compliance, and a strategic approach to managing enterprise data. You will play a key role in ensuring data accuracy, security, and compliance, while enabling the organization to leverage data as a strategic asset across multiple departments and markets.<br>Key Responsibilities:Implement and maintain robust data governance frameworks aligned with DAMA principles. Ensure compliance with NDMO and SADAIA regulations and guidelines. Support metadata management, data lineage, and data cataloging initiatives. Collaborate with cross-functional teams to embed governance practices into daily workflows. Monitor data quality, security, and compliance across systems. Contribute to the development of dashboards and reporting for governance KPIs. Provide guidance and training to teams on data governance best practices. Continuously improve governance processes to enhance efficiency and compliance.<br>Required Qualifications:Bachelor’s degree in Data Management, Information Systems, IT, or related field.3–7 years of experience in Data Governance or Data Management. Strong knowledge and practical experience with the DAMA framework. Hands-on experience with NDMO & SADAIA regulations. Background in the retail industry (fashion & perfume) preferred. Proficiency in Cloud, Azure, Fabric, or D365 is a plus. Excellent analytical, communication, and collaboration skills. Strategic thinking and the ability to provide actionable data-driven recommendations. Excellent command of Arabic and English (written and spoken). Required Training: Computer Skills – Administrative Skills – Effective Communication Skills.<br>Why Join Us? This is an excellent opportunity to be part of a pioneering team driving data transformation in the retail sector. You will work on cutting-edge governance initiatives that align with national and global standards, while growing your career in a dynamic and fast-paced environment. Joining Reef Group means becoming part of a collaborative culture that values innovation, transparency, and impact.

<p>About the Role: We are seeking a Commercial Data Analyst to join our Data Intelligence team. In this role, you will leverage Almosafer's end-to-end travel commerce data including bookings, customer, pricing, supplier, and revenue data to generate actionable insights that inform business strategy, optimize commercial performance, and enable data-driven decision-making across Sourcing, Revenue Management, Product, Sales, and Marketing.</p><p>You ll act as the bridge between data and business, turning complex datasets into actionable recommendations that enable commercial success.</p><p>The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in Sourcing, Products or Digital analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.</p><p>Responsibilities:</p><p>Data Exploration &amp; Analysis - Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights. - Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</p><p>Insight Generation &amp; Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results &amp; achieve regular success</p><p>Data Product Support &amp; Continuous Improvement - Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions - Help shape KPIs, reporting metrics, and dashboards aligned with business goals. - Proactively suggest opportunities for optimization and process improvement using data insights. - Stay up to date with industry trends and analytics tools to enhance analytical capabilities</p><p>Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders.</p><p>Advanced Analytics &amp; Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</p><p>Collaboration &amp; Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across teams.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s or Master s degree in STEM, Business Analytics, or related field.</p><p>5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.</p><p>Proficiency in SQL, Python or R, and advanced Excel.</p><p>Strong experience in Commercial, Digital Products or Data Analytics practices.</p><p>Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.</p><p>Excellent stakeholder management and communication skills; English fluency.</p><p>Experience building and deploying machine learning models e.g. Pricing &amp; Margin Optimization, Forecasting, Recommendations, Mapping etc.</p><p>Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as Apple, SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br>Your Role<p>The Data Governance Lead will be responsible for leading the implementation, operation, and continuous improvement of Tamara’s data governance framework, ensuring that data is managed as a trusted, secure, well-controlled, and valuable organizational asset.</p><br><p>You will work closely with business, data, engineering, security, privacy, compliance, risk, and product teams to establish clear data ownership, strengthen data quality, maintain data governance standards, embed governance requirements into business and technology processes, and support regulatory and audit readiness. You will play a key role in maturing Tamara’s data governance capabilities across data ownership, classification, quality, lifecycle management, metadata, reporting, and governance assurance.</p><br>Your Responsibilities<ul><li>Lead the development, implementation, and continuous improvement of Tamara’s data governance policies, standards, procedures, and operating models.</li><li>Establish and maintain data ownership, stewardship, and accountability models across business and technology functions.</li><li>Define, monitor, and report on data governance KPIs, KRIs, maturity indicators, and management updates.</li><li>Identify opportunities to improve data governance maturity, operational efficiency, reporting quality, and control effectiveness.</li></ul><ul><li>Drive the execution of data governance practices, including data classification, lifecycle management, retention, metadata management, and business glossaries.</li><li>Oversee data quality monitoring, including identifying, prioritizing, and remediating issues related to accuracy, completeness, consistency, and integrity.</li><li>Maintain and enhance governance documentation, including data inventories, ownership registers, data lineage, and governance dashboards.</li><li>Provide governance input and challenge for projects involving data usage, sharing, new platforms, analytics, and integrations.</li></ul><ul><li>Support compliance with regulatory and industry requirements (SAMA, PDPL, PCI-DSS, and other financial services obligations).</li><li>Lead data governance assessments and control reviews to evaluate adherence to internal policies and regulatory standards.</li><li>Identify data-related risks and control gaps, working with stakeholders to define and track remediation plans to closure.</li><li>Lead the preparation of data governance evidence and documentation for internal audits, external audits, and regulatory inspections.</li></ul><ul><li>Partner with cross-functional teams (engineering, security, privacy, compliance, risk, product) to embed governance requirements into new systems and technology changes.</li><li>Drive stakeholder engagement to improve data governance awareness, accountability, and adoption across the organization.</li><li>Provide ongoing guidance and support to data owners, data stewards, and technical teams on governance best practices.</li></ul>Your Expertise<ul><li>2-5 years of experience in Data Governance, Data Management, Data Quality, or Compliance. Previous experience in fintech, banking, or a regulated financial environment is preferred.</li><li>Strong understanding of data ownership, stewardship, metadata management, data lineage, and lifecycle management.</li><li>Strong grasp of compliance expectations related to data management and privacy, particularly SAMA requirements, PDPL, and PCI-DSS.</li><li>Strong analytical skills with proficiency in Excel and experience with SQL, Power BI, Tableau, or similar reporting tools. Good understanding of enterprise data environments and reporting layers.</li><li>Proven ability to identify data quality root causes, define remediation actions, and conduct governance assessments and audit support.</li><li>Exceptional stakeholder management skills with the ability to influence cross-functional teams and produce clear documentation for technical and non-technical audiences.</li><li>Ability to operate independently and manage competing priorities in a fast-paced environment.</li></ul>Preferred Qualifications<ul><li>University degree in Information Management, Computer Science, Risk Management, or a related field.</li><li>Professional certifications such as CDMP, DCAM, COBIT, CIPP, or ISO 27001.</li><li>Experience leading enterprise data governance programs or maturity improvement initiatives.</li><li>Hands-on experience with dedicated data governance, cataloging, metadata, lineage, or GRC tools.</li><li>Prior experience operating under SAMA regulatory oversight.</li></ul><p>&amp;nbsp;</p><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>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Educational qualifications</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p>

<p>The Data Privacy Senior Specialist supports the design, implementation, and monitoring of Takamol s personal data protection program to ensure compliance with the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations, and alignment with SDAIA and NDMO controls and global best practice. Working under the direction of the Data Management Senior Director, the role safeguards personal and sensitive information, embeds privacy-by-design across processing activities, and promotes a culture of data protection throughout the organization.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Business Management, Computer Science, Management Information System, Data Science or a related field. 4-6 years of relevant experience in data protection, data privacy, risk management, or data security within a regulated environment. Strong understanding of core data privacy principles such as data minimization, purpose limitation, lawful basis, and accountability. Demonstrated experience implementing and maintaining data protection policies, procedures, and standards, including DPIAs and privacy-by-design. Certifications (preferred). CIPM, CIPP/E, or equivalent privacy certification; CDMP/DAMA an advantage. In-depth knowledge of PDPL, NDMO, and SDAIA standards. Conducting privacy risk assessments, DPIAs, and audits. Data classification and personal data protection controls. Familiarity with data privacy management tools. Strong analytical thinking and problem solving. Excellent communication and advisory skills. Cross-functional collaboration and stakeholder engagement. Project management, attention to detail, and documentation.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Inbox Business Technologies is looking for an experienced <strong>Data Science &amp; Governance SME</strong> to provide data-domain expertise across both segments — ensuring communication content on data governance, quality, privacy, management and BI is technically accurate and credible, and underpinning the design and interpretation of data-literacy and adoption measures.</p><br><p><strong>Employment Type: </strong>Full-time employment </p><br>Responsibilities<ul><li>Serve as the authority on data governance (DAMA-DMBOK), data quality, data management, data privacy/PDPL and BI/analytics for all programme content.</li><li>Review and validate the technical accuracy of data-domain content — governance, quality, privacy, roles-and-responsibilities and BI messaging.</li><li>Co-design the data-literacy framework and the Data Awareness Survey, and advise on data-literacy assessment measures under Segment 3.</li><li>Support executive briefings and immersion sessions with data-domain credibility.</li><li>Interpret data-literacy metrics with the Adoption Analyst and recommend content or intervention adjustments.</li><li>Maintain alignment with TAWAL's data strategy, policies and the KSA regulatory context (PDPL, NDMO, SDAIA).</li></ul> </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>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>