Data Engineer – Enterprise Lakehouse & DataOps
99brightminds · Riyad
وصف الوظيفة
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
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99brightminds
Riyad