Data Engineer

1 week ago

Bucharest, Bucureşti, Romania Expleo Full time 40,000 - 60,000 per year
Overview

Expleo is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses.

Expleo benefits from more than 50 years of experience developing complex products in automotive and aerospace, optimizing manufacturing processes, and ensuring the quality of information systems. Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalization, automation, cybersecurity and data science, the group's mission is to fast-track innovation through each step of the value chain.

With 19,000 employees and a worldwide presence in 30 countries, our global footprint includes excellence centers around the world. We are in Romania since 1994 and currently counting 1700 colleagues.

Responsibilities


• Design and implement robust ELT pipelines from SAP BW (Open Hub, ODP, or other connectors) into Databricks.
• Transform and model data using Databricks (PySpark/SQL, Delta Lake) following bronze/silver/gold architecture.
• Rebuild or optimize SAP BW logic (hierarchies, key figures, currency conversion, time-dependent attributes).
• Partner with SAP teams to understand existing BW data models and with BI teams to validate reports.
• Ensure pipelines are production-ready: scalable, monitored, and governed (Unity Catalog, data quality checks).
• Document data lineage, business logic, and migration patterns for future scalability.

Qualifications


• Proven experience as a Data Engineer in cloud environments (Azure preferred).
• Strong knowledge of Databricks (PySpark/SQL, Delta Lake, Delta Live Tables).
• Hands-on experience with Azure Data Factory or equivalent ETL tools.
• Familiarity with data modeling (star schema, SCD handling, hierarchies).
• Previous exposure to SAP BW data structures (InfoObjects, ADSOs, DSOs, Process Chains).
• Strong SQL and Python skills for data transformation and automation.

Experience


• Knowledge of SAP extractors (ODP, CDS views, SLT).
• Experience rebuilding BW KPIs in Power BI or another BI tool.
• Familiarity with dbt for transformation pipelines.

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