{"id":59670,"title":"Geospatial Data Engineer & Spatial Pipelines (m/f/d)","company":"RE-Managers GmbH","city":"Bad Grönenbach, Allgäu","region":"Bayern","location":"87730 Bad Grönenbach, Allgäu","work_model":"hybrid","employment_type":"full_time","employment":["full_time"],"roles":["data_engineering"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-03T00:00:00+00:00","tools":["Python","PostgreSQL","REST","Docker"],"seniority":"unknown","years_experience_min":null,"german_requirement":"preferred","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.9,"method":"rules","language_badge":"German a plus","language_evidence":"Languages: Professional working proficiency in English (required); German language skills are a plus.","requirements_snippet":"- 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 …","url":"https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1003791402-S","source":"bundesagentur","agency":null,"description_text":"Geospatial Data Engineer & Spatial Pipelines (m/f/d)\n\nLocation: Germany (Hybrid / Remote options available)\n\nContract Type: Full-Time Employment (Permanent)\n\nTarget Group: Software Engineers, Data Engineers, Opportunity Card (Chancenkarte) Holders, and Master's Graduates\n\nAbout 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.\n\nYour Focus & Responsibilities\n\n- Geospatial Data Modeling: Develop and refine automated pipelines connecting to WFS services, REST APIs, and public open-data platforms.\n- Spatial Inference: Implement spatial overlay models for energy grid matching and land analysis directly within our PostGIS cluster.\n- Data Harmonization: Validate, clean, and transform complex vector geometries into a single coordinate reference system (EPSG:25832) before database insertion.\n- Cloud Deployment: Package services into robust Docker environments and deploy them on secure server infrastructure.\n\nWhat We Are Looking For\n\n- Technical Background: Degree in Geoinformatics, Computer Science, Data Science, or equivalent practical industry experience.\n- Core Technical Skills: Solid programming foundation in Python (GeoPandas, Shapely) and relational databases (PostgreSQL/PostGIS).\n- Mindset: Strong analytical curiosity, proactive problem-solving attitude, and a clean-code engineering approach.\n- Eligibility: Open to local applicants and international candidates currently in or moving to Germany (e.g., Chancenkarte / Opportunity Card).\n- Languages: Professional working proficiency in English (required); German language skills are a plus.\n\nWhat We Offer\n\n- Full-Time Permanent Employment: Long-term career stability with clear growth trajectories.\n- Dual Master / Trainee Track Available: Tailored tracks including academic coordination and complete tuition support for candidates combining practice with academics.\n- Accommodation & Onboarding Package: Structured assistance with local accommodation, official registration, and comprehensive onboarding.\n- Visa & Administrative Backing: Dedicated employer support for Opportunity Card conversions and German residence/work permit applications.\n- Modern Work Environment: Work in a high-efficiency tech stack focused on high-value architecture rather than boilerplate tasks.\n\nHow to Apply: Send your CV by E-Mail:\n\n[entfernt] (Subject: Application - Geospatial Data Engineer)","responsibilities_text":null,"requirements_text":"- Technical Background: Degree in Geoinformatics, Computer Science, Data Science, or equivalent practical industry experience.\n- Core Technical Skills: Solid programming foundation in Python (GeoPandas, Shapely) and relational databases (PostgreSQL/PostGIS).\n- Mindset: Strong analytical curiosity, proactive problem-solving attitude, and a clean-code engineering approach.\n- Eligibility: Open to local applicants and international candidates currently in or moving to Germany (e.g., Chancenkarte / Opportunity Card).\n- Languages: Professional working proficiency in English (required); German language skills are a plus.","status":"open","duplicate_of":null,"first_seen":"2026-11-02T16:51:47.449069+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","PostgreSQL","REST","Docker"],"posting_language":"en","evidence":[{"language":"german","requirement":"preferred","quote":"Languages: Professional working proficiency in English (required); German language skills are a plus.","source":"rules"},{"language":"english","requirement":"required","quote":"Languages: Professional working proficiency in English (required); German language skills are a plus.","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":null}