Data Engineer (m/w/d) Geodatenmanagement
Core
Designing, developing, and optimizing scalable data pipelines and architectures for geospatial data integration and processing.
Role type
Data Engineer (Geospatial)
Builds
Scalable data pipelines, ETL/ELT workflows, and spatial data models for public sector clients.
Domain
Public sector / Geospatial data
Deliverable
production ML models
Required skills
Python, SQL, Apache Airflow, dbt, PostgreSQL/PostGIS, GIS applications (QGIS/ArcGIS/GeoNode), Git, CI/CD
Preferred skills
Geoinformatics background, experience with large complex datasets
Responsibilities
Design and optimize scalable data pipelines; Integrate large and complex geospatial datasets from various sources; Develop and automate ETL/ELT workflows; Model and process spatial data using PostgreSQL/PostGIS; Ensure data quality, availability, and security; Develop automated development and deployment processes; Collaborate with technical teams on data models and structures.
