Geospatial Data Engineer

Description: Build the data foundation for satellite imagery and geospatial datasets, ensuring they are discoverable, reliable, and ready for analysis. Develop ingestion, processing, cataloging, and serving capabilities using Python and Go for a Kubernetes-based platform. Requirements: Several years of data or backend engineering experience, particularly with geospatial or Earth observation data. Strong skills in Python and practical experience with Go for services and integrations. Proficiency with GDAL/Rasterio, GeoPandas, Shapely, and SQL/PostgreSQL/PostGIS. Experience with formats like GeoTIFF, GeoJSON, and Shapefile, and knowledge of coordinate reference systems. Familiarity with object storage, automated pipelines, and software operation on Linux with containers. Clear communication in English and eligibility to work in Germany. Benefits: Ownership of pipelines and data services for a growing geospatial platform. Remote-first work environment with flexible hours and personal home-office equipment budget. 30 days of vacation and investment in personal and professional development. Performance bonuses tied to objectives and a warm welcome for new team members.