Data Engineer H/F
Hybrid
Core
Design, develop, and industrialize data platforms and pipelines for banking, insurance, and public sector clients.
Role type
Senior Data Engineer
Builds
Robust, scalable data platforms (Data Lake, Data Warehouse, Lakehouse) and ETL/ELT pipelines
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
Responsibilities
Design and maintain robust data pipelines, implement data ingestion/transformation/exposure processes, participate in data architecture evolution, ensure data quality and traceability, optimize processing performance, automate workflows via DataOps
Seniority
Senior, hands-on IC