Data Entry Jobs in Saudi

Job Purpose responsible for ensuring the organization’s full compliance with the Saudi Personal Data Protection Law (PDPL) and related data privacy regulations. The role supports the Data Management Office in developing, implementing, and monitoring personal data protection policies, procedures, and controls across clinical, operational, and administrative domains. This position plays a critical role in safeguarding patient, employee, and stakeholder personal data, mitigating privacy risks, and promoting a culture of ethical and compliant data handling within the healthcare organization<br>Roles and Responsibilities Key Accountabilities Areas Key Activities Organizational Accountabilities:• Ensure work is performed based on approved policies, processes, procedures, and instructions• Identify opportunities for continuous improvement of systems, processes and practices considering leading practices, cost reduction and productivity improvement• Ensure day-to-day activities are properly performed in line with policies and procedures• Follow-up on escalated cases/issues of subordinates to ensure they are closed efficiently and in a timely manner.• Support the organization’s data protection and privacy strategy in alignment with PDPL and NDMO frameworks.• Ensure compliance with Saudi PDPL, NDMO Data Governance Framework, and MOH data privacy requirements.• Promote privacy-by-design and privacy-by-default principles across healthcare systems and processes.• Support organizational readiness for regulatory, accreditation, and compliance audits related to personal data protection.• Collaborate with internal stakeholders to embed data protection requirements into operations, systems, and policies.• Contribute to the continuous improvement of data protection controls and risk mitigation measures. <br>Functional Accountabilities:<br> PDPL Compliance & Governance:• Interpret and implement PDPL requirements across the organization.• Develop, review, and maintain data protection policies, procedures, and guidelines. 2• Support compliance with data subject rights (access, correction, deletion, consent management). • Maintain records of processing activities (RoPA) for personal data. • Data Privacy Risk Management:• Conduct data privacy impact assessments (DPIAs) for new systems, projects, and processes. • Identify, assess, and mitigate personal data protection risks.• Support incident response and breach management in coordination with IT, Legal, and Compliance teams.<br> Monitoring, Audits & Reporting:• Monitor compliance with data protection controls and internal policies.• Prepare compliance reports, dashboards, and documentation for management review.• Support internal and external audits related to data privacy and personal data protection.<br>Awareness & Training:• Develop and deliver data protection awareness and training programs for staff.• Act as a subject matter expert for data privacy inquiries and guidance.• Promote a culture of accountability and ethical data handling.• Stakeholder Collaboration:• Work closely with IT to ensure secure data handling, access controls, and encryption measures.• Coordinate with Legal on contracts, data sharing agreements, and consent requirements.• Collaborate with Clinical, HIM, HR, and Operations teams to ensure compliance across data domains.<br>Job Qualifications and Requirements Knowledge and Experience • 5–8 years of experience in data quality, data governance, compliance, or data management, preferably in the healthcare sector.• Strong knowledge of Saudi PDPL, NDMO Data Governance Framework, and healthcare data regulations.• Familiarity with CBAHI / JCI data-related standards and reporting requirements.• Experience working with healthcare information systems (HIS, EMR, ERP, data warehouses).• Proficiency in data analysis and reporting tools such as SQL, Excel, Power BI, or data quality tools. • Strong analytical, documentation, and problem-solving skills.• Excellent communication and stakeholder management abilities. Education and Certifications• Bachelor’s degree in Law, Information Systems, Health Informatics, Data Management, Cybersecurity, or a related field (required) • Certified Information Privacy Professional (CIPP/E or CIPP/US) or equivalent (highly desirable).• CDPSE (Certified Data Privacy Solutions Engineer) or similar privacy-related certification (preferred).• PDPL / NDMO compliance training or certification (preferred).• Continuous professional development in data privacy and healthcare compliance is required. Skills • Proven expertise in healthcare and government sectors, with strategic planning capabilities. • Strong skills in communication, mediation, and conflict resolution.• Deep understanding of data compliance, regulations, and policies.• 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 Conditions

<b>Join Our Dynamic Team as a Data Engineer</b><br>We are seeking a passionate Data Engineer to help us build robust data pipelines and work on modern analytics solutions. If you have 4+ years of experience and love tackling big data challenges, this role at TestCrew is perfect for you.<br><br><b>Location:</b> Riyadh<br><br><b>Your Responsibilities:</b><ul><li>Build and optimize scalable ETL/ELT data pipelines.</li><li>Work with Apache Spark for large-scale data processing.</li><li>Design workflows using Apache Airflow.</li><li>Develop and manage data warehouse &amp; data lake architectures.</li><li>Improve data models, performance, and reliability.</li><li>Collaborate with analytics and business teams.</li><li>Implement CI/CD and DataOps practices.</li><li>Ensure data quality, governance, and efficiency across systems.</li></ul><br><b>What We’re Looking For:</b><ul><li>Strong experience in Python &amp; SQL.</li><li>Hands-on expertise with Apache Spark.</li><li>Experience with Apache Airflow.</li><li>Knowledge of Data Warehousing &amp; Data Lake concepts.</li><li>Experience building ETL/ELT pipelines.</li><li>Exposure to Cloud platforms (AWS / Azure / GCP) or Cloudera ecosystem.</li><li>Strong understanding of data modeling &amp; performance optimization.</li><li>Familiarity with CI/CD pipelines and DataOps practices.</li></ul><br><b>Nice to Have:</b><ul><li>Experience with streaming tools (Kafka, etc.)</li><li>BI/Analytics tool exposure.</li><li>Experience in Agile environments.</li></ul>

Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous<br><br>Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.<br><br>Ambition and results<br><br>Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.<br><br>Learning and innovating<br><br>Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.<br><br>Caring and sharing<br><br>A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br><br>At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,<br><br>Values:<br><br> Respect Frankness Passion<br><br><br>Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.<br><br>To know more about us, please visit: www.devoteam.com<br><br>Job Description<br><br>Summary Introduction:<br><br>Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases, and ensure data is structured for high performance, clarity, and long-term scalability across both operational and analytical systems. Data Modeler will be the translator between business stakeholders and data engineering teams.<br><br>Key Responsibilities: <br><br>Assessment - Review current data models to understand the AS-IS environment. Conceptual, Logical, and Physical Modeling - Plan, design and maintain blueprints of the TO-BE data models for OLTP (operational), OLAP (analytical), and Enterprise Data Lakehouse environments and how data will be stored, managed and used. Business Alignment - Understand business processes and translate them into robust data requirements and review current report design documents to understand where data model structures can address business requirements. Multi-Paradigm Modeling - Designing 3NF (Third Normal Form) for transactional databases, Dimensional Models (Kimball/Star Schema) for data warehousing, and Data Vault 2.0 for scalable enterprise data lakes. Data Quality - Transform unstructured data into structured data by fixing errors, eliminate redundancies and unnecessary data to optimize data systems. Performance Optimization - Optimize query performance through smart indexing, partitioning, and materialization strategies. Data Governance - Establish, enforce and implement best practices, data naming standards, data definitions, maintain data maps and relevant diagrams for data systems and metadata management. Data Security - Specify rules and guidelines for ensuring data security and compliance. Define procedures for ensuring data are classified according to their sensitivity. Tooling & Documentation - Maintain data schemas using modern standards modeling tools and ensure documentation is accessible to both technical and non-technical users. <br><br><br>Qualifications<br><br>B. Sc. Degree with a minimum of 5+ years of dedicated data modeling experience in enterprise relational databases, columnar databases. SQL Proficiency - Write, read, and optimize complex SQL transactional and analytical queries Modern Data Stack Familiarity - Experience modeling for cloud data warehouses/lakehouses (e.g., SQLSERVER, Hadoop, Snowflake, Big Query, Databricks), working alongside transformation tools (e.g., dbt), and create ERDs for relational systems and dimensional diagrams. Tooling - Proficiency with ER/Studio, Erwin or similar data modeling software. NoSQL/Unstructured Data - Understanding of when and how to model semi-structured data (JSON, Parquet) and NoSQL databases (Mongo DB, Cassandra) alongside relational data. Physical Data Management - Understand current data storage constrains and define TO-BE needs with growth allocation. Data Integration - Familiar with ETL tools to define the rules for data transformations and prepare data for big data analytics. Soft Skills: Communication, presentation skills, Business needs, able to lead or mentor a team. <br><br><br>Certificates: W3school SQL Certification, DAMA-CDMP Certification, Microsoft: Azure Data Engineer Associate.<br><br>Additional Information<br><br>Business Unit: DAIC<br><br>Level: Mid-senior level

Job Summary:Lead the Group's Master Data Governance and Analytics function by ensuring the quality, consistency, governance, and lifecycle management of enterprise master data across all business domains. Drive the organization's analytics, reporting, and data intelligence strategy by delivering reliable KPIs, dashboards, AI-driven insights, and decision-support solutions. Act as the IT focal point for master data and analytics, supporting business operations, ERP transformation, SAP harmonization, and enterprise-wide data migration and governance initiatives.<br><br>Key Responsibilities Lead Master Data Governance and ensure data quality, consistency, and integrity across the Group. Drive data harmonization, cleansing, migration, and validation for ERP and SAP transformation projects. Develop and execute the Group's Analytics & Reporting strategy, including dashboards, KPIs, and Power BI reports. Promote data-driven decision-making and identify opportunities to leverage AI and advanced analytics. Ensure data consistency across SAP and integrated business systems. Collaborate with business stakeholders, SAP partners, and vendors to implement best practices in Master Data Management, Business Intelligence, and continuous improvement.<br>Experience & Academic Qualifications<br>5–8 years of experience in SAP, ERP, Master Data Management, Analytics, Reporting, or Business Intelligence roles. Bachelor's Degree in Information Technology, Computer Science, Engineering, Business Administration, Data Analytics, or related field. Strong SAP functional knowledge across multiple business processes and modules. Proven experience in Master Data Governance and Data Quality Management. Experience leading Data Cleansing and Data Harmonization initiatives. Experience supporting Data Migration projects and ERP implementations. Strong experience with reporting development, Power BI and dashboard creation. Experience defining KPIs, management reports, and analytical solutions. Strong understanding of business processes across Finance, Supply Chain, Manufacturing, Procurement, Sales, and Logistics. Experience working with business stakeholders, project teams, and vendors.

Job Summary:Lead the Group's Master Data Governance and Analytics function by ensuring the quality, consistency, governance, and lifecycle management of enterprise master data across all business domains. Drive the organization's analytics, reporting, and data intelligence strategy by delivering reliable KPIs, dashboards, AI-driven insights, and decision-support solutions. Act as the IT focal point for master data and analytics, supporting business operations, ERP transformation, SAP harmonization, and enterprise-wide data migration and governance initiatives.<br><br>Key Responsibilities Lead Master Data Governance and ensure data quality, consistency, and integrity across the Group. Drive data harmonization, cleansing, migration, and validation for ERP and SAP transformation projects. Develop and execute the Group's Analytics & Reporting strategy, including dashboards, KPIs, and Power BI reports. Promote data-driven decision-making and identify opportunities to leverage AI and advanced analytics. Ensure data consistency across SAP and integrated business systems. Collaborate with business stakeholders, SAP partners, and vendors to implement best practices in Master Data Management, Business Intelligence, and continuous improvement.<br>Experience & Academic Qualifications<br>5–8 years of experience in SAP, ERP, Master Data Management, Analytics, Reporting, or Business Intelligence roles. Bachelor's Degree in Information Technology, Computer Science, Engineering, Business Administration, Data Analytics, or related field. Strong SAP functional knowledge across multiple business processes and modules. Proven experience in Master Data Governance and Data Quality Management. Experience leading Data Cleansing and Data Harmonization initiatives. Experience supporting Data Migration projects and ERP implementations. Strong experience with reporting development, Power BI and dashboard creation. Experience defining KPIs, management reports, and analytical solutions. Strong understanding of business processes across Finance, Supply Chain, Manufacturing, Procurement, Sales, and Logistics. Experience working with business stakeholders, project teams, and vendors.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure designing, building, and maintaining the scalable pipelines and platforms that power our AI-driven healthcare solutions across the Kingdom of Saudi Arabia. You will play a key role in enabling data-driven decision-making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.</p><p>A Day in the Life</p><ul><li>Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.</li><li>Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.</li><li>Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.</li><li>Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.</li><li>Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.</li><li>Contribute to infrastructure-as-code practices, supporting CI/CD pipelines and automating deployment of data workflows.</li><li>Participate in code reviews, architectural discussions, and cross-functional sprint planning to ensure delivery of high-quality, production-grade data products.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.</li><li>Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT.</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.</li><li>Ability to write clean, efficient, and well-documented code in Python and SQL.</li><li>Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment.</li><li>Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders.</li><li>3 – 6 years of hands-on experience in data engineering or a closely related role.</li><li>Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>Proven experience with distributed processing frameworks such as Apache Spark or Kafka.</li><li>Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.</li><li>Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.</li><li>Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.</li><li>Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis.</li><li>Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.</li><li>Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.</li><li>Experience working in an Agile/Scrum environment with cross-functional global teams.</li><li>Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><span>Job Title</span></b></p><br><br>Senior Data Engineering Expert<p>We are seeking a highly experienced <b>Senior Data Engineering Expert</b> with deep expertise in the Airline IT domain to lead the design, development, modernization, and governance of enterprise-scale data platforms and data integration ecosystems. The ideal candidate will possess extensive experience in building and managing batch and real-time data pipelines, large-scale ETL frameworks, cloud-based data platforms, and enterprise data management solutions supporting airline operations, customer experience, revenue management, commercial analytics, and regulatory reporting.</p><br><br><p>The role requires technical leadership in modern data engineering technologies including Databricks, Apache Spark (Scala), Delta Lake, Data Warehousing, Database Management Systems, Master Data Management (MDM), and enterprise data integration platforms.</p><br><br><b><span>Key Responsibilities</span></b><b><span>Enterprise Data Platform Architecture</span></b><ul><li><span>Define and implement enterprise-wide data architecture strategies supporting commercial, digital, customer, and operational business functions.</span></li><li><span>Design scalable, resilient, and secure data platforms that enable analytics, reporting, machine learning, and operational decision-making.</span></li><li><span>Lead the modernization of legacy data environments toward cloud-native Lakehouse architectures and enterprise data ecosystems.</span></li><li><span>Establish data engineering standards, architectural principles, governance frameworks, and best practices across the organization.</span></li></ul><b><span>Airline Business Data Enablement</span></b><p>Design and implement scalable enterprise data architectures supporting Airline Commercial and Digital functions,</p><br><br><ul><li><span>Reservations and Passenger Service Systems (PSS)</span></li><li><span>Revenue Management and Pricing</span></li><li><span>Loyalty Programs</span></li><li><span>Customer Relationship Management (CRM)</span></li><li><span>Customer Data Platforms (CDP)</span></li><li><span>Digital Engagement and Mobile Applications</span></li><li><span>Customer Analytics and Personalization</span></li><li><span>Commercial Performance and Regulatory Reporting</span></li></ul><b><span>Data Engineering &amp; Integration</span></b><ul><li><span>Architect and develop scalable data ingestion, transformation, and serving layers supporting both batch and real-time processing requirements.</span></li><li><span>Design reusable and metadata-driven ETL/ELT frameworks capable of handling large volumes of transactional, operational, and customer data.</span></li><li><span>Establish enterprise integration patterns leveraging APIs, event-driven architectures, messaging technologies, and hybrid connectivity models.</span></li><li><span>Implement data quality controls, reconciliation mechanisms, lineage tracking, metadata management, and observability capabilities.</span></li><li><span>Drive automation of deployment, orchestration, monitoring, recovery, and operational support processes.</span></li></ul><b><span>Real-Time Data &amp; Analytics</span></b><ul><li><span>Design and implement streaming architectures that provide near real-time operational visibility and business insights.</span></li><li><span>Enable event-driven data processing capabilities supporting customer engagement, disruption management, operational performance monitoring, and decision support.</span></li><li><span>Ensure scalability, reliability, and performance of real-time data processing platforms.</span></li></ul><b><span>Data Management &amp; Governance</span></b><ul><li><span>Establish enterprise Master Data Management (MDM) strategies and governance frameworks.</span></li><li><span>Define and govern master data domains including customers, flights, airports, aircraft, crew, and enterprise reference data.</span></li><li><span>Drive data stewardship, golden record management, metadata governance, and enterprise data quality initiatives.</span></li><li><span>Ensure compliance with security, privacy, regulatory, and corporate governance requirements.</span></li></ul><b><span>Leadership &amp; Stakeholder Management</span></b><ul><li><span>Provide technical leadership and direction across data engineering and architecture teams.</span></li><li><span>Mentor engineers, architects, and technical leads while fostering a culture of engineering excellence.</span></li><li><span>Collaborate closely with business stakeholders, product owners, enterprise architects, airline operations teams, and executive leadership.</span></li><li><span>Lead strategic modernization, cloud transformation, and enterprise data platform initiatives.</span></li></ul><br><b><span>Required Qualifications &amp; Technical Expertise</span></b><ul><li><span>Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.</span></li><li><span>Experience in <b>Data Engineering, Data Architecture, Data Platform Engineering,</b> or<b> Enterprise Data Management</b> roles.</span></li><li><span>Proven experience delivering enterprise-scale data platforms within complex and highly integrated environments, preferably in the airline, aviation, travel, or transportation industry.</span></li><li><span>Extensive expertise in designing and implementing modern cloud-based data architectures using <b>Microsoft Azure</b> and <b>Databricks Lakehouse </b>technologies.</span></li><li><span>Strong hands-on experience building scalable data engineering solutions leveraging <b>Apache Spark, Scala, Spark SQL, Delta Lake, </b>and modern orchestration frameworks to support both batch and real-time workloads.</span></li><li><span>Demonstrated success in developing enterprise-grade <b>ETL/ELT</b> frameworks, high-performance data pipelines, and large-scale data processing platforms capable of handling operational, commercial, and customer data domains.</span></li><li><span>Deep understanding of enterprise data integration patterns, including API-based integrations, event-driven architectures, messaging technologies, and hybrid integration models connecting operational systems, cloud platforms, and analytical environments.</span></li><li><span>Significant experience in enterprise data warehousing, analytical data modeling, database design, SQL optimization, performance tuning, and large-scale data management across structured and semi-structured datasets.</span></li><li><span>Practical experience establishing <b>Master Data Management</b> (MDM) capabilities, metadata management frameworks, data stewardship processes, golden record management, and enterprise data governance practices.</span></li><li>Deep understanding of data quality, lineage, observability, security, privacy, compliance, and governance requirements associated with enterprise data platforms.</li><li><span>Proven ability to define architecture standards, lead engineering teams, mentor technical professionals, and drive enterprise-wide modernization and cloud transformation initiatives.</span></li></ul><br><b><span>Preferred Qualifications</span></b><ul><li><span>Experience working with Passenger Service Systems (PSS), Revenue Management, Loyalty Platforms, CRM, CDP, Digital Commerce, and Customer Experience solutions within the airline industry.</span></li><li><span>Experience supporting advanced analytics, artificial intelligence, machine learning, and personalization initiatives through modern data platforms.</span></li><li><span>Exposure to Data Mesh, Data Fabric, or domain-oriented data architecture approaches.</span></li><li><span>Experience operating within large-scale enterprise transformation programs.</span></li><li><span>Relevant certifications in Microsoft Azure, Databricks, Data Engineering, Cloud Architecture, or Enterprise Data Management.</span></li></ul><br><p><b>What can we offer you?</b></p><br><br><br><p>? A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.</p><br><br><p>? A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.</p><br><br><p>? Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.</p><br><br><p>? A caring environment – Amadeus fosters a caring environment that supports both professional growth and personal well-being.</p><br><br><p>? A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.</p><br><br><p>? A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.</p><br><br><p>? A diverse and inclusive community – We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.</p><br><br><p>? A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.</p><br><br><br><p>#LI-EMEA</p><br><br><br><br><br><p><span><b>Diversity &amp; Inclusion</b></span></p><br><br><br><p>Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and&nbsp;as a role model for an inclusive employee experience. &nbsp;</p><br><br><br><p>Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law. &nbsp;</p><br><br><br><br><br><p><span><b>Be aware of recruitment scams</b></span></p><br><br><p>Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous<br><br>Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.<br><br>Ambition and results<br><br>Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.<br><br>Learning and innovating<br><br>Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.<br><br>Caring and sharing<br><br>A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br><br>At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,<br><br>Values:<br><br> Respect Frankness Passion<br><br><br>Job Description<br><br>A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.<br><br>They identify and resolve data anomalies through profiling, cleansing, and validation workflows.<br><br>The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.<br><br>Key Responsibilities:<br><br> Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data. Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems. Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes. Develop automated data quality checks and workflows for continuous monitoring and remediation. Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends. Document data quality rules, issue logs, and remediation actions as part of the data governance framework. Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds. Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports. Lead the design and deployment of scalable data quality solutions across multiple data domains and systems. Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy. Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues. Conduct root cause analysis and lead remediation programs for chronic data issues. Mentor junior engineers and promote data quality best practices across teams. Participate in compliance with the local data management regulations (e.g. NDMO, NDI). Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself. Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions. Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure. <br><br><br>Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Information Management, or related discipline. 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles. Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ). Strong expertise in data profiling, rule design, standardization, and exception management. Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation. Deep understanding of data governance frameworks and collaboration with data stewards. Ability to design DQ dashboards, scorecards, and KPIs to monitor performance. Strong communication skills for presenting findings and recommendations to business stakeholders. Experience mentoring junior engineers or managing small DQ workstreams. CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake). Understanding of data lineage, root cause analysis, and impact assessment. Knowledge of metadata management and integration with data catalogs. Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI). Ability to automate DQ workflows through orchestration or CI/CD pipelines. <br><br><br>Additional Information<br><br>Business Unit: Data & Intelligence <br><br>Level: Mid - Senior Level

Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous<br><br>Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.<br><br>Ambition and results<br><br>Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.<br><br>Learning and innovating<br><br>Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.<br><br>Caring and sharing<br><br>A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br><br>At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,<br><br>Values:<br><br> Respect Frankness Passion<br><br><br>Job Description<br><br>A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.<br><br>They identify and resolve data anomalies through profiling, cleansing, and validation workflows.<br><br>The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.<br><br>Key Responsibilities:<br><br> Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data. Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems. Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes. Develop automated data quality checks and workflows for continuous monitoring and remediation. Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends. Document data quality rules, issue logs, and remediation actions as part of the data governance framework. Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds. Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports. Lead the design and deployment of scalable data quality solutions across multiple data domains and systems. Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy. Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues. Conduct root cause analysis and lead remediation programs for chronic data issues. Mentor junior engineers and promote data quality best practices across teams. Participate in compliance with the local data management regulations (e.g. NDMO, NDI). Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself. Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions. Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure. <br><br><br>Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Information Management, or related discipline. 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles. Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ). Strong expertise in data profiling, rule design, standardization, and exception management. Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation. Deep understanding of data governance frameworks and collaboration with data stewards. Ability to design DQ dashboards, scorecards, and KPIs to monitor performance. Strong communication skills for presenting findings and recommendations to business stakeholders. Experience mentoring junior engineers or managing small DQ workstreams. CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake). Understanding of data lineage, root cause analysis, and impact assessment. Knowledge of metadata management and integration with data catalogs. Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI). Ability to automate DQ workflows through orchestration or CI/CD pipelines. <br><br><br>Additional Information<br><br>Business Unit: Data & Intelligence <br><br>Level: Mid - Senior Level

Data Governance Specialist - Jeddah Yearly renewable contract<br>Experience Bachelor's degree in Data, Business, Information Systems, Computer Science, Engineering or related field.10+ years of experience in data governance, data quality, compliance, metadata management, analytics or project coordination. English Required, Arabic preferred. Certifications in data governance, DAMA, data quality, privacy or project management are desirable. The Data Governance Specialist supports the implementation of data governance controls, standards, documentation and adoption activities. The role helps ensure data assets are owned, defined, catalogued, controlled and used responsibly The Data Governance Specialist will establish strict policies, monitor quality and ensuring regulatory compliance, this role transforms raw data into a trustworthy, secure, and easily accessible corporate asset that drives confident business decisions.

JOB PURPOSE / ROLE:<br>Play the role of data ownership on behalf of the business (this include representing the voice of the business division in the executive governance committee). Ensure data stewardship provided is following the enterprise data management asset model and lead the data initiatives at divisional level and represent the bank business divisions. Understand the business division strategies and participate in bank data related strategies, e.g. enterprise data as assets strategy and information management strategy. Play the role of liaison between business areas and the other data management sections. Ensure policies and standards are effectively implemented for data sources related to the assigned division.<br>AREAS OF RESPONSIBILITY:<br>Policies, Processes & Procedures Assist the development and execution of the Data Stewardship policies, procedures and controls for all sources of the data.<br>Day- to-day operations Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures<br>Senior Data Manage the data stewardship at divisional level and provide a single contact point to business of that division for their data. Liaise with business areas to ensure their interests and requirements are considered. Represents assigned business area for matters related to data, e.g. data requirements, data provisions. Represents business units in the Enterprise Data Governance Committee Promote standards and consistent view of business data.<br>Transfer of Knowledge and Communication Educate the Business Unit about the importance of Data & Information in driving the business Supervise relationships with data consumers. Direct & guide the subordinates on how to play the role of Enterprise Data Steward on all levels<br>Leadership Manages the effective achievement of Enterprise Data Steward Unit objectives through the leadership of the Enterprise Data Steward Unit – setting individual objectives, recruiting qualified staff, managing performance, developing and motivating staff, provision of formal and informal feedback and appraisal – in order to maximize subordinate and division performance<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System or Computer Sciencewith preferably Master degree in MISMinimum Experience:6-8 years relevant experience in Data & Information Management in banking responsibilities Language:English: Advanced<br>Technical Knowledge areas: Understanding of the bank’s strategy, objectives Ability to effectively present information to top management In depth project management knowledge In depth knowledge of the bank’s regulations

JOB PURPOSE / ROLE:<br>Play the role of data ownership on behalf of the business (this include representing the voice of the business division in the executive governance committee). Ensure data stewardship provided is following the enterprise data management asset model and lead the data initiatives at divisional level and represent the bank business divisions. Understand the business division strategies and participate in bank data related strategies, e.g. enterprise data as assets strategy and information management strategy. Play the role of liaison between business areas and the other data management sections. Ensure policies and standards are effectively implemented for data sources related to the assigned division.<br><br>AREAS OF RESPONSIBILITY:<br>Policies, Processes & Procedures Assist the development and execution of the Data Stewardship policies, procedures and controls for all sources of the data.<br>Day- to-day operations Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures<br>Senior Data Manage the data stewardship at divisional level and provide a single contact point to business of that division for their data. Liaise with business areas to ensure their interests and requirements are considered. Represents assigned business area for matters related to data, e.g. data requirements, data provisions. Represents business units in the Enterprise Data Governance Committee Promote standards and consistent view of business data.<br>Transfer of Knowledge and Communication Educate the Business Unit about the importance of Data & Information in driving the business Supervise relationships with data consumers. Direct & guide the subordinates on how to play the role of Enterprise Data Steward on all levels <br>Leadership Manages the effective achievement of Enterprise Data Steward Unit objectives through the leadership of the Enterprise Data Steward Unit – setting individual objectives, recruiting qualified staff, managing performance, developing and motivating staff, provision of formal and informal feedback and appraisal – in order to maximize subordinate and division performance<br><br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System or Computer Sciencewith preferably Master degree in MIS Minimum Experience:6-8 years relevant experience in Data & Information Management in banking responsibilities Language:English: Advanced<br>Technical Knowledge areas: Understanding of the bank’s strategy, objectives Ability to effectively present information to top management In depth project management knowledge In depth knowledge of the bank’s regulations

Enterprise / Data Architect<br>Location: Jeddah, Saudi<br>Experience : 10+ Years<br> Key Responsibilities Architecture Ownership Own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, consumption, and governance layers. Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with enterprise architecture principles. Ensure robust architectural patterns for batch, near real-time, and historical data processing. Platform & Technology Alignment Ensure architectural consistency and seamless integration across:Cloudera Data Platform Teradata Enterprise Data Warehouse Informatica (ETL, Data Quality, Metadata) Denodo (Data Virtualization & Consumption) Review and approve low-level designs, data flows, and integration patterns across platforms. Phase 1 Remediation Governance Perform architectural assessment and validation of Phase 1 deliverables, including:Data pipelines Logical and physical data models Gold layer aggregations (Teradata) Identify architectural gaps, anti-patterns, and misalignments. Define remediation and rebuild strategies aligned with target architecture. Enterprise Data Modeling & Standards Govern the implementation of logical and physical data models aligned to:FSLDM (Financial Services Logical Data Model) FSAS aggregation standards Ensure correctness, consistency, and reusability of enterprise and subject-area models. Validate aggregation logic, hierarchies, and reporting readiness. Governance, Compliance & Security Ensure alignment with:NDMO (National Data Management Office) NDI (National Data Index)data classification, privacy, and security standards Oversee metadata, lineage, data quality, and auditability design. Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements. Performance, Scalability & Resilience Define architecture patterns for:High availability (≥99.9% uptime) Horizontal scalability Disaster recovery and point-in-time restore Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads. Stakeholder & Governance Engagement Act as the primary architectural interface with IT, Data Governance, Security, and Business teams. Participate in architecture review boards, design walkthroughs, and governance forums. Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders. Required Skills & Experience Technical Expertise Strong experience in Enterprise Data Architecture, including:EDW modernisation Data Lake / Lakehouse architectures Medallion architecture patterns Deep understanding of BFSI data domains and enterprise reference models:FSLDMFSASHands-on architectural exposure to:Cloudera CDP (HDFS, Spark, Hive, Kafka) Teradata Vantage Informatica (ETL)- BDMInformatica Power Exchange (CDC) Kafka Denodo Governance & Compliance Proven experience designing governance-driven architecture:Metadata and lineage Data quality frameworks Security, masking, and encryption Strong understanding of regulatory and compliance-driven data platforms. Non-Functional Design Expertise in:Performance and workload optimization Scalability and capacity planning Resilience, backup, and recovery design Soft Skills Strong communication and stakeholder management skills. Ability to lead cross-vendor and cross-functional technical discussions. Governance mindset with pragmatic delivery orientation. Experience & Qualifications15+ years of experience in data architecture roles, preferably in large BFSI organizations. Proven track record of large-scale data platform transformation programs. Experience working in hybrid delivery models with onsite and offshore teams. Architecture certification(s) or advanced data engineering background preferred..

We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilities:<br><br>Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, Big Query, Google Ads, Adjust, Postgre SQL, MySQL, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>2+ years of professional experience in Data Engineering, Data Warehousing, or a related field Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing Strong communication skills in English<br><br><br>What Makes You Successful<br><br>You are a proactive problem solver who enjoys tackling complex technical challenges You have a strong attention to detail and a passion for building reliable, high-quality data solutions You take ownership of your work and can operate independently when needed You are collaborative, curious, and enjoy sharing knowledge with others You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies

For one of our clients, I’m looking for a Digital Sales – Data Integration & BI Architect to lead the design and implementation of a unified digital sales data and dashboard ecosystem. In this role, you’ll integrate key business platforms (e Commerce, CRM, analytics, CX tools, pricing systems) into a scalable data model and deliver high-performance Power BI dashboards that drive business decision-making.<br>Key Responsibilities Design and implement the data architecture connecting e Commerce, CRM, analytics, CX, and pricing systems Build and manage data pipelines using APIs and ETL/ELT processes Define real-time vs batch data flows aligned with business needs Ensure secure handling of customer-level data and compliance requirements Build scalable data models at customer-level, funnel-level, and policy-level Establish a Single Source of Truth (SSOT) across all reporting Standardize data structures and naming conventions across systems Develop Power BI dashboards from scratch (datasets, measures, logic) Ensure dashboards are scalable, automated, and high-performing Enable drill-down capabilities across key segments (e.g., channel, customer type, funnel stage) Define and implement validation rules, monitoring, and governance frameworks Maintain accuracy, consistency, and reliability across integrated sources Troubleshoot data issues and coordinate resolution with IT teams Performance Optimization & Maintenance Optimize dashboard speed and data refresh performance Drive ongoing enhancements and scalability of the data environment Maintain documentation for data architecture, pipelines, and data flows<br><br>Requirements7–12+ years in Data Engineering / BI / Data Architecture Proven experience integrating multiple systems (CRM, analytics, CX tools, backend systems) Strong hands-on experience with Power BI end-to-end development Experience with APIs and ETL tools (e.g., Azure Data Factory or similar) Experience in digital business / e Commerce environments (preferred) Advanced SQLData modeling ETL / ELT processes API integrations Data warehousing concepts

Role purpose<br><br>Own or support the business-facing data workstream for Service Now GRC/IRM and SPM implementation. The role profiles source data, defines mappings and quality rules, coordinates cleansing decisions, validates transformed and loaded data, and provides auditable reconciliation evidence. Technical extraction, transformation, or loading development is performed only when explicitly assigned.<br><br>Key Responsibilities<br><br> Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints Collaborate with Service Now consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation Develop the end user training material and conduct end user training sessions before or after going live Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts<br><br>Mandatory Experience And Knowledge<br><br> At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting Service Now implementations Previous Service Now data mapping or migration experience in at least one proposal-scope domain: Policy, Compliance, Risk, Audit, BCM, SPM, Demand, Portfolio, Project, or a closely related capability Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts Understanding of Service Now tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence<br><br>Preferred Experience<br><br> Experience with Service Now import sets, transform maps, Integration Hub, or ETL tools, while recognizing that development may sit with a separate technical team Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation Arabic language proficiency (spoken and written) is strongly preferred; professional English is required<br><br>Academic and professional certifications<br><br> Required: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent Strongly preferred: Service Now Certified System Administrator (CSA) Preferred: Service Now implementation certification or training relevant to GRC/IRM, SPM, Integration Hub, or platform data management Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience<br><br>Core competencies<br><br>Data profiling and quality analysis<br><br>Source-to-target mapping<br><br>Cleansing and validation rule design<br><br>SQL and reconciliation<br><br>Metadata, lineage, and documentation<br><br>Cross-team issue resolution

???? New Senior Leadership Role | Data Warehousing & BI | Saudi Arabia<br>We’re supporting a major digital transformation program within one of Saudi Arabia’s leading banks and are looking for an exceptional Data & BI Architect / Data Engineering Leader to join the team onsite in Riyadh.<br>This is a senior, hands‑on leadership role working directly with the Chief Data & Analytics Officer, driving enterprise‑scale data warehousing, BI modernization, and data architecture initiatives.<br>???? What We’re Looking For10 - 15 years of experience in Data Warehousing, Enterprise Data Warehouse (EDW), and large‑scale BI environments Strong background in data modeling (dimensional modeling, star/snowflake schema) Deep experience with ETL tools such as Informatica, ODI, SSIS, Azure Data Factory Proven expertise across BI platforms (Power BI, Tableau, enterprise reporting) Solid exposure to banking or financial services data domains (core banking, risk, AML, KYC) Must be willing to work onsite in Saudi Arabia<br>???? Role Highlights Act as the right hand to the Chief Data & Analytics Officer Lead architecture, design, and delivery of enterprise DW/BI solutions Shape data strategy, governance, and best practices Work across high‑visibility regulatory, risk, and analytics programs Collaborate with cross‑functional teams in a fast‑moving transformation environment

JOB PURPOSE / ROLE:To lead the development, Implementation, and monitoring of the RB enterprise data strategy and governance controls, Ensuring alignment with business objectives, regulatory requirements and data management standards while driving continues improvement in data governance capabilities.<br>AREAS OF RESPONSIBILITY:Policies, Processes & Procedures:Assist the development and execution of the Data Strategy & Control policies, procedures and controls for all sources of the data. Day- to-Day Operations:Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures Job Related Accountabilities:Lead the implementation and continuous enhancement of the Bank’s Enterprise Data Strategy. Develop and monitor data governance controls, standards, policies, and procedures across the Bank. Track the execution of strategic data initiatives and report progress against approved roadmaps and KPIs. Coordinate with business and technology stakeholders to ensure alignment of data initiatives with business priorities Establish governance mechanisms to ensure compliance with internal policies and regulatory requirements related to data management. Monitor data governance maturity and identify opportunities for continuous improvement. Support enterprise-wide data governance forums and committees by preparing reports, dashboards, and decision-support materials. Coordinate the implementation of data-related regulatory and compliance requirements. Collaborate with Data Quality, Master Data, Metadata, Data Privacy, and Business Intelligence teams to ensure consistent governance practices. Lead assigned strategic initiatives and perform other related duties as required. Change Management Contributes to the identification of opportunities for continuous improvement of systems, processes and practices taking into account ‘international best practices’, improvement of business processes, cost reduction and productivity improvement. Related Assignments:Performs other related duties or assignments as directed<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System, Information Systems or Computer Science or Related Filed Minimum Experience:6-8 years relevant experience in Data Management Language:English: Advanced

Enterprise Data Architect - multi-year program<br>Experience Enterprise Data Architect required to join a leading multi-national conglomerate in Riyadh, Saudi Arabia.<br>12-month initial contract, multi-year program and the role starts from 1st September.<br>Open to local and international candidates who are happy to be based in Riyadh.<br>Key experience required:<br>10+ years' experience working across Enterprise Data Architecture Data Architecture strategy, Data Modelling, Data Integration Architecture, Data Governance & Quality, Architecture Standards Proven experience designing enterprise scale-data platforms and integration architectures Proven experience working with cloud data - Azure / AWS / GCPExperience working in an ERP environments Certifications - TOGAF, CDMP, Azure / AWS / GCP etc.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly experienced <strong>Senior Data Engineer</strong> to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready <strong>Data Lakehouse platform</strong>.</p> <p>The ideal candidate will have strong software engineering experience with a focus on <strong>data pipeline development, data architecture, and scalable distributed systems</strong>. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.</p> <p>This position also involves <strong>technical leadership</strong>, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.</p> Key Responsibilities <ul> <li> <strong>Lakehouse Architecture &amp; Implementation: </strong> Design and deploy a unified Data Lakehouse utilizing the Medallion architecture (Bronze, Silver, Gold) and open table formats (e.g., Delta Lake, Apache Iceberg) on cloud infrastructure hosted within Saudi Arabia.</li> <li> <strong>Data Ingestion &amp; Pipeline Engineering: </strong> Build reusable, automated ingestion frameworks (batch and streaming) capable of processing both structured data (RDBMS, APIs) and unstructured data (PDFs, policy documents) to feed downstream AI models and semantic reasoning engines. </li> <li> <strong>Data Quality &amp; Governance:</strong> Implement automated data quality "circuit breakers" (completeness, uniqueness, referential integrity) and end-to-end data lineage tracking frameworks. </li> <li> <strong>Optimization: </strong>Optimize data processing workflows for performance, scalability, and cost-efficiency.</li> <li> <strong>System Monitoring and Maintenance: </strong>Monitor and maintain data systems, responding to SEVs or other urgent issues to ensure continuous operations.</li> <li> <strong>Security &amp; Compliance: </strong> Ensure the platform adheres strictly to NCA (National Cybersecurity Authority) and NDMO (National Data Management Office) standards. Implement AES-256 encryption at rest, TLS 1.2+ in transit, robust Key Management Systems (KMS), and centralized audit logging.</li> <li> <strong>Access Control Integration: </strong> Design and deploy granular Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), integrating seamlessly with existing enterprise Identity Providers (e.g., Active Directory).</li> <li> <strong>Capability Building &amp; Handover: </strong> Lead hands-on knowledge transfer sessions, pair-programming with client engineers, creating operational runbooks, and conducting "Game Day" failure simulations to ensure the client s team is fully ready to operate the platform independently.</li> </ul><ul> <li> <strong>Education: </strong> Bachelor s or Master s degree in Computer Science, Engineering, or a related field.</li> <li> <strong>Experience: </strong> 5+ years of proven experience in Data Engineering, Distributed Systems, or Big Data Architecture, with at least 2+ years specifically leading Data Lakehouse or Cloud Data Platform implementations. </li> </ul> T<strong>echnical Skills &amp; Core Technologies: </strong> <ul> <li> <strong>Programming Languages: </strong>Proficiency in programming languages such as Python, Java, or Scala.</li> <li> <strong>Data Architecture &amp; System Design: </strong> Strong expertise in designing data-intensive applications, complex data modeling, and schema design for enterprise environments. </li> <li> <strong>Distributed Systems &amp; Lakehouse Technologies: </strong> Deep, hands-on experience with distributed processing engines (e.g., Apache Spark, Kafka, Hadoop) and modern open table formats (e.g., Delta Lake, Apache Iceberg, Apache Hudi). </li> <li> <strong>ETL/ELT &amp; Orchestration:</strong> Experience designing and building robust data pipelines using modern transformation and orchestration tools (e.g., Apache Airflow, Prefect, dbt). </li> <li> <strong>Database Ecosystems: </strong>Proven track record with relational databases (e.g., PostgreSQL, MySQL), NoSQL platforms (e.g., MongoDB, Cassandra), and distributed SQL query engines like Hive and Trino.</li> <li> <strong>Cloud Infrastructure: </strong> Proven experience deploying enterprise data solutions on major cloud providers, specifically within localized Saudi cloud regions. Expertise in Oracle Cloud Infrastructure (OCI) or Google Cloud Platform (GCP) is highly preferred, though experience with AWS or Azure is acceptable.</li> <li> <strong>Analytical Skills: </strong>Strong problem-solving skills with a keen eye for detail and a passion for data.</li> <li> <strong>AI/Data Science Enablement: </strong> Prior experience building data pipelines optimized for Machine Learning, Natural Language Processing (NLP), vector embeddings, or Knowledge Graphs/Ontologies is highly desirable.</li> <li> <strong>Security &amp; Networking: </strong>Strong understanding of enterprise network security, Private Endpoints, Identity &amp; Access Management (IAM), and cryptographic key management. </li> <li> <strong>Communication: </strong>Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li> <li> <strong>Leadership Skills: </strong>Demonstrated ability to lead technical teams, manage stakeholder expectations, and successfully transition complex systems to internal IT/Data teams.</li> <li> <strong>Regulatory Knowledge: </strong>Familiarity with Saudi Arabian data compliance frameworks (NCA CCC, NDMO, SDAIA) is highly preferred.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are seeking a highly experienced <strong>Senior Data Engineer</strong> to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready <strong>Data Lakehouse platform</strong>.</p> <p>The ideal candidate will have strong software engineering experience with a focus on <strong>data pipeline development, data architecture, and scalable distributed systems</strong>. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.</p><p></p></section>