Data Engineer – Enterprise Lakehouse & DataOps

About the role

We are looking for a skilled Data Engineer to design, build and maintain enterprise‑scale data pipelines and a lakehouse architecture. The role focuses on delivering reliable, AI‑ready data solutions that meet strict governance and regulatory requirements.

Key responsibilities

• Develop and operate end‑to‑end ETL/ELT pipelines for data ingestion, transformation and historical migration.
• Implement metadata capture, data quality checks and monitoring to ensure trusted data.
• Collaborate with governance, analytics and platform teams to align data solutions with NDMO standards.
• Support platform stabilisation, production support and continuous performance optimisation.
• Apply DataOps practices including CI/CD, logging and performance tuning.

Required profile

• 3–6 years of experience in data engineering or platform engineering.
• Based in Riyadh with mandatory Arabic language skills.
• Experience working in regulated, enterprise‑scale environments such as financial or public sector.

Required skills

• SQL
• Python
• PySpark
• OCI, Azure and AWS cloud platforms
• Cloud storage technologies
• ETL/ELT tools (Informatica, ODI, Azure Data Factory)
• CI/CD pipelines
• Monitoring, logging and performance tuning