• Design, develop, and maintain data pipelines to support data integration and processing needs.
• Ensure data quality, integrity, and security across all data systems.
• Develop and implement ETL processes to ingest data from various sources.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with data scientists and analysts to provide data for analytics and reporting.
• Implement and maintain data governance policies and best practices.
• Monitor and troubleshoot data pipeline performance, ensuring reliability and efficiency.
• Support data-driven initiatives by providing timely and accurate data access.
• Develop and maintain documentation for data processes and systems.
• Stay up to date with emerging data technologies and industry best practices.
• Ensure compliance with data protection regulations and internal policies.
• Provide training and support to stakeholders on data systems and best practices.
• Lead efforts to continuously improve data infrastructure and processes.
• Collaborate with IT and business units to align data initiatives with organizational goals.
• Data pipeline performance and reliability metrics.
• Improvement in data quality and integrity.
• Successful delivery of data integration projects on time and within budget.
• Stakeholder satisfaction with data accessibility and usability.

Knowledge & Experience

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• Proven experience of at least 5+ years in data engineering, with a focus on building and maintaining data pipelines in a CoE or Specialist role.
• Proven experience in developing and implementing ETL processes.
• Strong background in data architecture and Azure technologies.
• In-depth knowledge of data governance and data quality management principles.
• Excellent written and verbal Arabic and English language proficiency