Data Engineer H/F
Core
Design, develop, and industrialize data platforms for banking, insurance, and public sector clients, handling ingestion, transformation, and exposure of data.
Role type
Senior Data Engineer
Builds
Robust, scalable data pipelines and platforms (Data Lake/Warehouse/Lakehouse)
Domain
Financial services and public sector data engineering
Deliverable
production ML models
Required skills
Python, SQL, Spark/PySpark, ETL/ELT, Cloud platforms (Azure/AWS/GCP), Data architecture design, DataOps
Preferred skills
Data governance, performance optimization, complex problem solving
Technologies
Python, SQL, Spark, PySpark, Azure, AWS, GCP, Data Lake, Data Warehouse, Lakehouse
Responsibilities
Design and maintain robust data pipelines; Implement data ingestion, transformation, and exposure processes; Participate in data architecture design and evolution; Ensure data quality, reliability, and traceability; Optimize processing performance and data volume management; Automate and industrialize data flows via DataOps; Collaborate with business teams, analysts, and scientists.
Seniority
Senior, hands-on IC