> Markdown version of [/jobs/ext/3944547-geospatial-data-processing-specialist](https://www.wearedevelopers.com/jobs/ext/3944547-geospatial-data-processing-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Geospatial Data Processing Specialist - **Company:** Vansteelandt - **Location:** Deinze, Belgium - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Geographic Information Systems, Adobe Photoshop, Artificial Intelligence, Information Engineering, Python (Programming Language), Data Processing, Capture One Software - **Published:** October 27, 2026 - **Apply:** https://www.vansteelandt.be/en/vacatures/geospatial-data-processing-specialist ## About the Role You don't need to be an expert in aerial photography or surveying - we'll be happy to teach you the tricks of the trade., * You have a technical background (IT, geography, geoinformatics, photogrammetry or similar) * You work accurately and have an eye for detail when processing data * You are eager to learn and are interested in geodata, aerial photography and automation * You have a master's degree in (industrial) engineering sciences, surveyment/geomatics, geography, geoinformatics or a related field. Candidates with a professional bachelor's degree and relevant experience are also eligible. * Pros (not a must, but strong advantages): + Knowledge of Python (scripting & automation) + Knowledge of GIS + Experience with FME + Basic CAD knowledge + Experience with photogrammetry software (e.g. Metashape, Pix4D, Inpho,...) + Experience with Photoshop/Capture One + Experience with AI ## Description As a Data Processing Specialist, you participate in the entire workflow of air data and geospatial information., * Processing aerial imagery into end products such as orthos and 3D models * Supporting the management of our geodata pipelines and automating processes * Collaborate with surveyors and project leaders to deliver data correctly and in a timely manner * Troubleshooting and improving existing workflows, datasets, and software tools * Data engineering: enriching and optimizing datasets so that they can be used for analysis and applications, with or without AI