We are seeking an experienced Data Engineer to join our Data & AI team and deliver core data platform capabilities. This hands-on role focuses on building robust Python-based data pipelines, ETL processes, and data models across a modern data lake/lakehouse environment. Strong Python and SQL skills are essential, along with a solid understanding of data lake architecture. Experience with data quality tooling (such as Informatica, Purview, Great Expectations, or similar) is a strong advantage.
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Location: Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
Key Responsibilities:
- Design and maintain end-to-end Python-based data pipelines for ingestion, transformation, and delivery.
- Build and optimize ETL/ELT workflows across Bronze, Silver, and Gold layers using Medallion architecture.
- Write clean, modular, production-grade Python code for data processing and automation.
- Support data model, schema, and storage design for analytics and reporting.
- Develop SQL transformations, stored procedures, and views for validation and reconciliation.
- Build ingestion frameworks for files, APIs, databases, and streaming sources.
- Implement data quality checks across completeness, validity, consistency, uniqueness, accuracy, and timeliness.
- Monitor pipeline health, implement alerting, and troubleshoot production issues.
- Contribute to CI/CD pipelines, automated testing, and version control.
- Produce clear documentation for pipelines, models, and runbooks.
Required Skills:
- Strong Python development (pandas, PySpark, etc.) and production pipeline experience.
- Solid SQL for complex transformations and performance tuning.
- Hands-on ETL/ELT design and implementation.
- Understanding of Medallion architecture and modern data lake/lakehouse patterns.
- Experience with orchestration tools.
- Working knowledge of cloud platforms (Azure, AWS, or GCP).
- Familiarity with relational and NoSQL databases.
- Strong debugging and problem-solving skills.
Desirable Skills:
- Experience with data quality tools (Informatica IDQ, Purview, Great Expectations, custom DQ frameworks).
- Knowledge of data cataloguing/lineage tools (Informatica EDC, Purview).
- Familiarity with data governance platforms (Axon, Purview).
- Exposure to BI tools such as Power BI.
