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Data Architect Location: Saudi Arabia Experience: 3+ years Sector: Technology Consultancy<br>We are working on behalf of a specialist technology consultancy in Saudi Arabia to identify a Data Architect to support client engagements across data architecture, data management, and enterprise architecture initiatives.<br>The role will focus on helping organisations define and improve their data architecture, establish effective data standards and practices, and translate business requirements into scalable data structures and target-state architectures.<br>Key Responsibilities Design and maintain conceptual and logical data models aligned with business and technology requirements. Define and apply data architecture principles, standards, and best practices. Map data entities and domains across business capabilities, applications, and underlying data sources. Support initiatives across data governance, metadata, data quality, data integration, and master data management (MDM). Assess existing data architectures, identify gaps, and contribute to target-state architecture and transformation roadmaps. Work with business and technology stakeholders to understand data requirements and translate them into practical architecture solutions. Contribute to data architecture documentation, standards, frameworks, and governance processes. Support wider enterprise architecture and data management initiatives across client engagements.<br>Experience & Skills3–5 years of relevant experience in Data Architecture, Data Management, Data Modelling, Enterprise Architecture, or a closely related field. Strong understanding of conceptual and logical data modelling. Good knowledge of databases, data integration, MDM, data governance, and modern data platforms. Experience working with business and technology stakeholders to understand and translate data requirements. Familiarity with DAMA-DMBOK, TOGAF, and Enterprise Architecture principles is preferred. Strong analytical, problem-solving, and communication skills. Consultancy or client-facing experience would be advantageous.<br>Ideal Profile We are looking for someone who combines a solid foundation in data architecture and modelling with an understanding of the wider enterprise environment. The successful candidate should be comfortable working across business and technology teams, analysing current-state data landscapes, and helping define practical target-state data architectures.

About the Company King Salman International Airport is one of the world's most ambitious airport development projects, designed to redefine the future of aviation and contribute to Saudi Arabia’s Vision 2030. The airport aims to become a leading global hub by delivering world-class passenger experiences, operational excellence, and innovation-driven services.<br>About the Role We are seeking a Specialist – Data Management and Operations to support the implementation and enhancement of data management practices across the organization. The successful candidate will contribute to data governance, data quality, metadata management, and data analytics initiatives while ensuring compliance with organizational standards and regulatory requirements.<br>Responsibilities Support data quality management activities to ensure data accuracy, completeness, consistency, and reliability. Monitor data throughout its lifecycle, including creation, storage, usage, archival, and deletion in accordance with retention policies. Establish and maintain metadata repositories to improve data accessibility and utilization. Ensure data is captured, managed, and utilized effectively from relevant sources. Conduct data analysis and generate insights to support data-driven decision-making. Identify data quality issues and support corrective actions to improve data integrity and usability. Develop reports and dashboards to assess the effectiveness of data management and governance initiatives. Support the implementation of data governance frameworks, standards, policies, and procedures. Collaborate with stakeholders to promote effective data management practices across the organization.<br>Qualifications Bachelor’s degree or higher in Information Technology, Computer Science, Information Systems, Data Management, or a related field.2–3 years of relevant experience in Data Management, Data Governance, Data Quality, Data Analytics, or related disciplines. Experience working with enterprise data management practices is preferred.<br>Required Skills Data Governance Data Management Data Quality Metadata Management Data Analytics Data Lifecycle Management Data Privacy Reporting & Dashboarding Stakeholder Management Excellent command of the English language (written and verbal)<br>Location Riyadh, Saudi Arabia (On-site)

???? We're Hiring: Informatica Data Quality Analyst???? Location: Saudi Arabia???? Contract Opportunity - 1 year minimum???? Industry: Banking & Financial Services<br>We're seeking an experienced Informatica Data Quality Analyst to join a leading banking organisation's Data Governance team in Saudi Arabia. This is an exciting opportunity to play a key role in improving the quality, integrity, and governance of critical banking data while supporting major regulatory and digital transformation initiatives.<br>About the Role As an Informatica Data Quality Analyst, you'll be responsible for profiling, measuring, and improving the quality of enterprise data using Informatica Data Quality (IDQ) and Informatica Cloud Data Quality (CDQ/IDMC). You'll work closely with business stakeholders, data stewards, and governance teams to define data quality rules, investigate issues, and drive continuous improvement across critical banking data domains.<br>Key Responsibilities✔ Profile data from core banking and source systems to identify missing values, duplicates, anomalies, and data quality issues.✔ Design, develop, and maintain data quality rules covering:Completeness Accuracy Validity Consistency Uniqueness Timeliness✔ Identify and monitor Critical Data Elements (CDEs) and produce data quality scorecards, KPIs, and management reporting.✔ Perform root cause analysis and coordinate remediation activities to improve data quality across enterprise systems.✔ Support regulatory compliance initiatives, including BCBS 239, NDMO, and PDPL, by implementing auditable data quality controls.✔ Collaborate with data stewards, business users, and technical teams to validate business rules and quality thresholds.<br>Required Skills & Experience Minimum two years hands-on experience with Informatica Data Quality (IDQ) and/or Informatica Cloud Data Quality (CDQ/IDMC) Strong SQL and data profiling skills Experience performing root cause analysis and data quality remediation Understanding of banking data domains, including customer, account, product, and transaction data Knowledge of data governance principles, Critical Data Elements (CDEs), and data quality frameworks Excellent analytical, documentation, and stakeholder management skills<br>Desirable Experience Banking or financial services experience Knowledge of enterprise data governance frameworks Experience supporting regulatory reporting and compliance programmes Exposure to large-scale data transformation or modernisation initiatives<br>???? Interested? Apply today with your CV

General Description<br>Join a leading banking transformation program in Riyadh supporting a major financial institution's enterprise data governance initiative.<br>We are looking for an experienced Informatica Data Quality Analyst to support enterprise-wide data quality management, profiling, monitoring, and remediation initiatives using Informatica Data Quality (IDQ) On-Premises.<br>The consultant will work closely with Data Governance, Business, Data Management, and Technology teams to improve data accuracy, consistency, completeness, and regulatory compliance across critical banking domains.<br>This is a 6-month contract engagement with strong potential for extension.<br>Key Responsibilities<br>Design, develop, and maintain data quality rules, scorecards, and validation processes using Informatica Data Quality (IDQ) On-Premises. Perform data profiling, data discovery, and quality assessments across enterprise banking data assets. Analyze data quality issues, identify root causes, and recommend remediation strategies. Collaborate with business stakeholders to define business rules, data quality standards, and validation requirements. Monitor enterprise data quality metrics and prepare dashboards and reports for governance teams. Support data cleansing, standardization, matching, and deduplication initiatives. Work closely with ETL, Data Engineering, and Database teams to resolve data quality issues. Document data quality rules, technical specifications, and governance processes. Participate in User Acceptance Testing (UAT) and validate data quality improvements. Ensure compliance with enterprise data governance policies and banking regulatory requirements. Support production deployments, issue investigations, and ongoing optimization of Informatica IDQ solutions. Provide recommendations to improve overall data quality processes and governance maturity.<br>Required Skills Strong hands-on experience with Informatica Data Quality (IDQ) On-Premises. Experience developing and maintaining data quality rules, scorecards, and validation frameworks. Strong knowledge of data profiling, data cleansing, data standardization, matching, and deduplication techniques. Experience with Informatica Power Center and ETL processes. Strong SQL skills with experience querying and validating large datasets. Experience working with Oracle, SQL Server, or other enterprise relational databases. Understanding of enterprise Data Governance and Data Management principles. Experience performing root cause analysis and data quality issue remediation. Knowledge of metadata management and enterprise data lifecycle concepts. Strong analytical, troubleshooting, and problem-solving skills. Experience working with business stakeholders to define data quality requirements and business rules. Excellent documentation, communication, and stakeholder management skills. Ability to work in Agile or hybrid project delivery environments.<br>Preferred Experience Banking or financial services industry experience. Experience supporting enterprise data governance initiatives. Experience working with customer, accounts, loans, payments, treasury, risk, or regulatory reporting data domains. Familiarity with BCBS239, Basel, AML, KYC, or other banking regulatory frameworks. Experience with Informatica Axon or Informatica Enterprise Data Catalog (EDC). Experience supporting enterprise data warehouse or data lake environments. Exposure to Master Data Management (MDM) solutions. Experience participating in UAT, production deployments, and production support. Relevant Informatica certifications are an advantage.

Job Purpose The Enterprise Data Architect designs, governs, and maintains our organization's enterprise-wide data architecture to support clinical, operational, financial, and analytical needs — ensuring healthcare data is structured, integrated, secure, and scalable to enable interoperability, regulatory compliance, and data-driven decision-making. This role plays a strategic part in aligning data architecture with organizational strategy, national data standards, and healthcare regulatory requirements in Saudi Arabia.<br>Key Responsibilities<br>Enterprise Data Architecture Design Define and maintain the enterprise data architecture blueprint (conceptual, logical, physical models) Design scalable data platforms supporting HIS, EMR, ERP, data warehouses, and analytics ecosystems Establish standards for data modeling, naming conventions, metadata, and data lineage Data Integration & Interoperability Design data integration frameworks across clinical and administrative systems Support standards such as HL7, FHIR, ICD-10, and SNOMEDEnsure consistency and integrity of master and reference data Data Governance & Compliance Embed governance, data quality, and privacy-by-design principles into architecture Ensure compliance with Saudi PDPL, NDMO, and MOH regulations Partner with Data Quality and Data Protection teams Analytics & Platform Enablement Design architectures supporting BI, advanced analytics, and AI/ML platforms Enable enterprise dashboards with trusted data sources Support cloud, hybrid, and on-premise architectures per Saudi data residency requirements Standards, Documentation & Roadmap Maintain data architecture standards, principles, and reference architectures Document data flows, system interfaces, and architectural decisions Contribute to the enterprise data roadmap Advisory & Stakeholder Engagement Serve as trusted advisor to IT, analytics, clinical, and business teams Review solution designs for architectural alignment Support vendor selection and evaluation<br>Requirements Education & Certifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field TOGAF Certification (highly desirable) CDMP – Certified Data Management Professional (preferred) Experience8–12 years in data architecture, information architecture, or enterprise data management (healthcare sector preferred) Strong knowledge of TOGAF and DAMA-DMBOK frameworks Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) Deep understanding of NDMO Data Architecture Domain and Saudi PDPLSkills Strategic planning in healthcare/government sectors Strong communication, mediation, and conflict resolution Fluency in Arabic and English (verbal & written) Proficiency in MS Office (Word, Excel, Power Point, Outlook) Location: Saudi Arabia

We are looking for an experienced Data Integration & BI Architect to lead the design and implementation of a digital sales data and dashboard ecosystem. The role will be responsible for integrating multiple platforms including e Commerce, CRM, analytics, customer experience (CX), pricing, and backend systems into a unified and scalable data architecture. The successful candidate will establish reliable data pipelines and models while taking end-to-end ownership of high-performance Power BI dashboards that support executive and operational decision-making. This is a highly hands-on role requiring strong expertise across data integration, data architecture, data modeling, BI development, data quality, and performance optimization.<br>Key Responsibilities Data Integration & Architecture Design and implement scalable data architecture connecting e Commerce, CRM, analytics, CX, pricing, and backend systems. Develop and manage robust data pipelines using APIs and ETL/ELT processes. Define appropriate real-time and batch data flows based on business and reporting requirements. Design integration patterns that support scalability, reliability, and performance. Ensure secure handling of customer-level and business-sensitive data. Collaborate with IT and application teams to resolve integration and data-flow issues. Data Modeling & Single Source of Truth Design scalable data models covering customer, sales funnel, policy, and digital channel data. Establish and maintain a Single Source of Truth (SSOT) across reporting and analytics. Standardize data structures, definitions, naming conventions, and reporting logic across systems. Translate complex multi-source data into clean, structured, business-ready datasets. Power BI & Dashboard Development Take end-to-end ownership of Power BI dashboard development, from data preparation and modeling through visualization and deployment. Build datasets, relationships, measures, calculations, and business logic supporting executive and operational reporting. Develop automated, scalable, and high-performing dashboards. Enable drill-down and segmentation across dimensions such as channel, customer type, and funnel stage. Ensure dashboards provide accurate and actionable insights for business stakeholders. Data Quality & Governance Define and implement data validation rules, controls, and monitoring mechanisms. Ensure data accuracy, consistency, completeness, and reliability across integrated systems. Identify root causes of data-quality issues and coordinate remediation with relevant IT teams. Establish appropriate data governance standards and practices. Performance Optimization & Maintenance Optimize data pipelines, refresh cycles, datasets, and dashboard performance. Minimize reporting latency and manual data preparation. Manage ongoing enhancements and ensure the data ecosystem can scale with evolving business requirements. Maintain comprehensive documentation covering architecture, integrations, data models, and data flows. Key Deliverables The successful candidate will be expected to deliver a data architecture blueprint, integrated cross-system data pipelines, clean and structured reporting datasets, end-to-end executive and operational Power BI dashboards, and a robust data governance and quality framework. Performance will be measured through system integration coverage, data accuracy and consistency, refresh latency, dashboard performance and availability, and reduction in manual data preparation.<br>Requirements7–10 years of experience across Data Engineering, Business Intelligence, Data Integration, and/or Data Architecture. Proven experience designing and integrating data from multiple enterprise systems, including CRM, analytics, CX, and backend platforms. Strong hands-on expertise with Power BI, including end-to-end dashboard development. Advanced SQL skills. Strong experience in data modeling and designing scalable reporting datasets. Hands-on experience with ETL/ELT processes and tools, preferably Azure Data Factory (ADF) or equivalent. Strong experience implementing and consuming API integrations. Solid understanding of data warehousing concepts and architecture. Experience defining batch and real-time data integration patterns. Experience implementing data-quality, validation, and governance controls. Ability to troubleshoot complex cross-system data issues. Experience working within a digital business or e Commerce environment is strongly preferred. Strong stakeholder communication skills with the ability to translate business reporting requirements into technical architecture.

Data and ML Platform Engineer<br>Purpose of the Job To design, build, and maintain scalable data pipelines and architecture that enable reliable, high-quality data availability across port operations. The role will be critical in integrating operational systems such as Navis N4 Terminal Operating System, IoT platforms, and enterprise systems to support analytics, reporting, and AI-driven decision-making across Group RSGT.<br>Reporting ToData Science Senior Manager Working Conditions Within the terminal – both indoor and outdoor.<br>Required Experience3–6 years of experience in data engineering or backend data systems. Experience working with operational or industrial datasets preferred. Proven ability to build and maintain data pipelines in production environments.<br>Education Requirements Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.<br>Skills / Attributes Strong SQL and data modelling expertise. Proficiency in Python for data engineering (ETL, pipelines). Experience working with APIs and large datasets. Understanding of cloud platforms (Azure preferred). Strong problem-solving and system design skills. <br>Key Accountabilities / Responsibilities<br>Data Engineering and Integration Design and develop data pipelines to ingest data from operational systems including Navis N4, equipment systems, and enterprise platforms. Build ETL/ELT processes for batch and near real-time data ingestion. Integrate structured and unstructured data sources across terminal operations. Ensure seamless data flow between operational systems and analytics platforms.<br>B. Data Architecture and Management Develop and maintain scalable data models to support reporting and analytics. Support implementation of data warehouse / data lake architecture. Optimize database performance and ensure efficient query execution. Maintain metadata, data lineage, and documentation standards.<br>C. Data Quality and Governance Ensure data accuracy, consistency, and completeness across datasets. Implement data validation, monitoring, and quality control mechanisms. Collaborate with IT and Data Science teams to enforce data governance standards. Support compliance with data security and regulatory requirements.<br>D. Analytics Enablement Prepare clean, structured datasets for use in dashboards and analytics tools such as Microsoft Power BI.<br>Enable data availability for key use cases such as: Crane utilization tracking. Vessel turnaround analysis. Yard optimization. Support Data Science team in model development and deployment.<br>E. Performance and Continuous Improvement Identify opportunities to automate manual data processes. Improve pipeline efficiency and reduce data latency. Support scalability of data infrastructure as business needs evolve.<br>Competencies: Analytical Thinking Problem Solving Collaboration & Influence Results Orientation Innovation Data-Driven Decision Making Integrity Dynamic

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

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

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

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

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

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

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

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

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

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

Designing, implementing, and operationalizing Data Governance and Data Management frameworks aligned with national regulations and international best practices. Supporting full and ongoing PDPL compliance, including data lifecycle management, ROPA, data classification, data retention, and data subject rights processes. Leading and supporting Information Protection and Data Loss Prevention (DLP) initiatives, including data classification schemes, labeling, handling rules, and monitoring of sensitive data across systems and platforms. Coordinating with IT, Legal, HR, and Business units to embed data governance and privacy controls into daily operations and systems. Supporting audits, regulatory assessments, and internal assurance activities related to PDPL, NDMO, and related data regulations. Enhancing data quality, ownership, accountability, and stewardship across the organization.

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

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