Senior Data Engineer

Looking for a hands‑on Senior Data Engineer to design, build, and operate robust analytics pipelines for one of our clients.

Key responsibilities

• Design and build extract, transform, load / extract, load, transform pipelines that move and transform data across the platform.
• Model data for analytics and downstream consumption clean, well‑documented, and built to last.
• Review and accept peer code; participate in code reviews for quality and maintainability.
• Partner directly with analysts, clinicians, and business teams to translate needs into reliable data products.
• Keep production stable: investigate incidents, fix root causes, and improve observability.

Qualifications

• 5+ years of hands‑on data engineering experience
• Bachelor's degree in Computer Science, Engineering, Information Systems, Statistics, or a related field (or equivalent practical experience).
• Hands‑on experience with Apache Spark, you have written, tuned, and debugged Spark jobs in production.
• Hands‑on experience with the data build tool, you have built and maintained data build tool projects of meaningful size, written tests, and handled incremental models, reusable SQL macros, and complex dependency management.
• Strong data modeling skills; dimensional modeling, normalization vs denormalization trade offs, slowly changing dimensions, and the judgment to choose appropriately. Be prepared to walk through real models you’ve designed.
• Excellent communication in Arabic and English; Arabic fluency is mandatory.

Nice-to-haves

• Databricks experience
• Healthcare data background
• Apache Airflow experience
• Continuous integration / continuous deployment pipeline experience
• Familiarity with open table formats (Apache Iceberg, Delta Lake, Hudi)
• Experience with data cataloging and discovery tools