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Remotely seeks a Geospatial Data Engineer & Spatial Pipelines to build automated pipelines connecting WFS, REST and open data, and to push spatial models into production. You will work with PostGIS and a Docker-based deployment stack in a hybrid German work environment.
The role emphasizes robust data harmonization, cloud readiness, and a practical, clean-code approach, with opportunities for a dual master/trainee track and local accommodation support.
Geospatial Data Engineer & Spatial Pipelines (m/f/d)
Location: Germany (Hybrid / Remote options available)
Contract Type: Full-Time Employment (Permanent)
Target Group: Software Engineers, Data Engineers, Opportunity Card (Chancenkarte) Holders, and Master's Graduates
About Project IRIS Project IRIS is an applied research and technology initiative dedicated to automated spatial data analysis, cadastre intelligence, infrastructure mapping, and open-source data modeling. Together with our commercial transfer network, we bridge the gap between academic data science, resilience research, and practical real-world application. Complex geospatial and resilience data models are deployed into active enterprise environments and infrastructure tools. In this role, you turn algorithmic frameworks and spatial datasets into robust, production-ready digital architectures.
Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.