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, geospatial data models, and automated ETL/ELT workflows for public sector clients.
Domain
Public sector consulting, Geospatial technology, Digitalization
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Apache Airflow, dbt, PostgreSQL/PostGIS, GIS applications (QGIS/ArcGIS/GeoNode), CI/CD pipelines, Git
Preferred skills
Experience with large and complex datasets, structured and independent work style
Responsibilities
Design and optimize scalable data pipelines and architectures; Process and integrate large 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 throughout the data lifecycle; Design and deploy automated development and deployment processes; Collaborate with technical teams to develop data models and structures.
