Data Engineer (m/w/d)
Core
Building and optimizing ETL processes, cloud-based data platforms, and data warehouses to enable self-service analytics for business units.
Role type
Data Engineer (ETL & DataOps focus)
Builds
Cloud data platforms, ETL pipelines, and centralized data warehouses
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL process development, Cloud infrastructure management, Infrastructure-as-Code, CI/CD pipelines, Automated testing (Unit/Integration), Data modeling, Platform engineering
Preferred skills
Data Security & Access Management, Data Lineage & Metadata management, Financial data experience, Container orchestration (Docker/Kubernetes), Serverless compute
Technologies
Docker, Kubernetes, Serverless Compute, Power BI, Tableau, ECM tools
Responsibilities
Programming and monitoring ETL processes, Building and automating cloud data platforms, Developing automated tests for data pipelines, Operating Enterprise Content Management and Developer Platforms, Structuring data models for self-service dashboards
Seniority
Mid-level, hands-on IC

