Trainee / Specialist – Geospatial Data Engineering & Spatial Pipelines (m/f/d)
First seen by Alion on Aug 18, 2026.
Organization: IRIS – Institut für raumbezogene Infrastruktur und Raumforschung (gGmbH)
Location: Germany (On-site / Hybrid with Relocation & Housing Support)
Target Program: Opportunity Card (Chancenkarte) / Master Trainees / International Talents
Working Language: English (No initial German language skills required)
About the Research Institute:
The IRIS Institute (gGmbH) is a non-profit, applied research institute dedicated to developing cutting-edge spatial resilience data models and open-data architectures for the energy transition, critical infrastructure, and sustainable regional planning.
What We Offer:
We provide comprehensive administrative support for international candidates, including full assistance with the German Opportunity Card (Chancenkarte), degree recognition, and visa procedures. You will receive structured onboarding, local accommodation support, coverage of basic living expenses during training, on-site sponsored German language courses, and access to a modern data engineering tech stack centered on Python, PostGIS, Docker, and GIS platforms.
Your Role & Key Tasks:
In this role, you will build and maintain automated Python-based spatial data pipelines connecting to WFS services, REST APIs, and public open-data platforms. You will implement spatial overlay and inference models for energy grid matching and land-use analysis, while validating, structuring, and transforming vector geometries into our central PostgreSQL and PostGIS databases.
Candidate Profile & Qualifications:
We welcome applicants with a completed university degree in Geoinformatics, Computer Science, Data Science, Environmental Engineering, or a related technical discipline. You should bring practical experience or a strong learning interest in Python (GeoPandas, Shapely), SQL databases (PostgreSQL/PostGIS), spatial reference systems, and automated data ingestion workflows. High motivation and fluent English skills are required.
How to Apply:
Please submit your CV along with a short cover letter in English. We look forward to welcoming you to the IRIS team! [[email protected]](https://mailto:[email protected])