Geospatial Data Engineer & Spatial Pipelines (m/f/d)

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.

Your Focus & Responsibilities

• Geospatial Data Modeling: Develop and refine automated pipelines connecting to WFS services, REST APIs, and public open-data platforms.
• Spatial Inference: Implement spatial overlay models for energy grid matching and land analysis directly within our PostGIS cluster.
• Data Harmonization: Validate, clean, and transform complex vector geometries into a single coordinate reference system (EPSG:25832) before database insertion.
• Cloud Deployment: Package services into robust Docker environments and deploy them on secure server infrastructure.

What We Are Looking For

• Technical Background: Degree in Geoinformatics, Computer Science, Data Science, or equivalent practical industry experience.
• Core Technical Skills: Solid programming foundation in Python (GeoPandas, Shapely) and relational databases (PostgreSQL/PostGIS).
• Mindset: Strong analytical curiosity, proactive problem-solving attitude, and a clean-code engineering approach.
• Eligibility: Open to local applicants and international candidates currently in or moving to Germany (e.g., Chancenkarte / Opportunity Card).