Build and operate data pipelines that supply GEOINT services with accurate, compliant, and performant spatial data
Own ingestion, transformation, versioning, and distribution across cloud and air-gapped environments
Collaborate with Data Analytics Team in creating value adding data products
Develop ingestion pipelines using Python, GDAL, Rasterio, tippecanoe, and PostGIS for vector/raster/3D datasets
Automate tiling, generalization, and 3D tile generation (Cesium 3D Tiles, quantized mesh, terrain) with incremental update workflows
Implement data quality checks (topology validation, completeness, coordinate reference integrity) and provenance tracking (lineage metadata, checksums)
Manage storage lifecycle across cloud (S3/GCS) and on-prem object stores; optimize performance and cost
Package data for offline distribution (MBTiles, geopackages, zipped 3D tiles), including delta updates and secure transfer
Collaborate with Data Acquisition and Licensing to enforce usage rights, export control, and compliance
Monitor pipelines (Prometheus, Grafana), maintain runbooks, and participate in on-call/incident response
Own end-to-end sourcing of new geospatial datasets (commercial and freely available)

5+ years geospatial data engineering with large datasets and production ownership
Delivered pipelines supporting map services, analytics, or offline distribution
Worked under licensing/export constraints and documented compliance evidence
Participated in on-call/incident response for data platforms
German language (B1+) and knowledge of European geospatial data providers (Copernicus, HERE, Airbus, Maxar)
Experience with geospatial data engineering in a defence and intelligence environment
Experience with vector tile optimizations, level-of-detail algorithms, or GPU-accelerated processing (cuSpatial)
Familiarity with NiFi, Kafka, or streaming pipelines for geospatial events

Build the spatial data backbone powering Orcrist’s missions
Work with modern geospatial stack: GDAL, tippecanoe, PostGIS, Maplibre GL JS/Deck.gl, Argo, Kubernetes. Bring your own ideas forward in modernising frameworks and tools
Remote-first Germany, equipment and learning budgets, mission-driven impact
Collaborate with data acquisition, product, and forward-deployed teams on real-world challenges

Geospatial Data Engineer

Key skills