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SAP Data Engineer - MERKUR GROUP
Data Engineer
Lead end‑to‑end data integration and transformation for SAP landscapes, leveraging SQL, Python, and SAP HANA to deliver high‑quality, scalable data pipelines and analytics solutions.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines for SAP and non‑SAP data sources, ensuring data quality and consistency.
- Implement data models and optimize performance in SAP HANA, including columnar storage and in‑memory processing.
- Collaborate with business analysts and data scientists to translate requirements into technical specifications and deliver actionable insights.
- Monitor and troubleshoot data flows, applying best practices for error handling, logging, and performance tuning.
- Document architecture, processes, and data lineage to support governance and compliance initiatives.
Requirements
- 3+ years of experience in data engineering within SAP environments.
- Strong proficiency in SQL, Python, and ETL tools (e.g., SAP Data Services, SAP Landscape Transformation).
- Hands‑on experience with SAP HANA, including data modeling and performance optimization.
- Solid understanding of data governance, security, and compliance standards.
- Excellent problem‑solving skills and ability to work collaboratively in a cross‑functional team.
Skills
sapsqlpythonsap hana