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