Germany onlyTech Lead
Company
Orcrist builds the Orcrist Intelligence Platform (OIP), a secure, Kubernetes-native system delivering geospatial intelligence worldwide. Deployments run as SaaS and self-hosted/on-prem (air-gapped).
Role
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.
What you'll do
- 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)
About you
- 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
Nice‑to‑haves
- 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
- Contributions to open-source geospatial tools or data pipelines
What we offer
- 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
