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Salary
≈ $67k – $144k per year (Estimated)
Location
Hybrid (Germany)
Employment
Full-Time

First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match
Die Speerspitze der digitalen Bauwende: Wir verbinden klassisches Immobilien-Asset-Management mit zukunftsweisendem PropTech. Unser Ziel ist das herstellerunabhängige Gebäude-Betriebssystem für den gewerblichen B2B- und kommunalen Bestand im DACH-Raum — Open Source. Skalierbar. Nachhaltig.Zu unser.

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.  

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).  
  • Languages: Professional working proficiency in English (required); German language skills are a plus.  

What We Offer 

  • Full-Time Permanent Employment: Long-term career stability with clear growth trajectories.  
  • Dual Master / Trainee Track Available: Tailored tracks including academic coordination and complete tuition support for candidates combining practice with academics.  
  • Accommodation & Onboarding Package: Structured assistance with local accommodation, official registration, and comprehensive onboarding.  
  • Visa & Administrative Backing: Dedicated employer support for Opportunity Card conversions and German residence/work permit applications.  
  • Modern Work Environment: Work in a high-efficiency tech stack focused on high-value architecture rather than boilerplate tasks.  

How to Apply: Send your CV by E-Mail:  

[email protected] (Subject: Application - Geospatial Data Engineer)

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