> Markdown version of [/jobs/ext/3561715-gis-data-specialist-esri-enterprise-quality-control-metadata-for-nato-with-security-clearance](https://www.wearedevelopers.com/jobs/ext/3561715-gis-data-specialist-esri-enterprise-quality-control-metadata-for-nato-with-security-clearance). 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). --- # GIS Data Specialist (ESRI Enterprise, Quality Control, Metadata) for NATO with security clearance - **Company:** WLG - **Location:** Den Haag, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Geographic Information Systems, ArcGIS (Software), Metadata, Esri GIS (Software), Raster Graphics - **Published:** October 3, 2026 - **Apply:** https://www.adzuna.nl/details/5909040961 ## About the Role * A degree in geospatial science or a related field plus two years' experience, or around six years of progressive hands-on work in the field * At least two years of geospatial data management and of the ESRI suite, ArcGIS Pro in particular, including mosaic datasets * Real depth in coordinate systems, projections, metadata, vector and raster formats, and data QA/QC * Strong Excel, good analytical and organisational habits, and fluent business English * Nice to have: ArcPy and ArcGIS Toolbox development, tile cache creation on common tiling schemes, and experience preparing data for defence systems and standards ## Description * Organising and maintaining geospatial datasets, metadata, geodatabases and spatial repositories * Running ingestion, transformation, validation and quality checks, and keeping versions and integrity under control * Supporting the GIS platforms on premises and in the cloud - backups, documentation, obsolescence and day-to-day fixes - with the IT colleagues who run them * Doing the everyday spatial analysis, maps and standard products the teams ask for * Taking part in project meetings and suggesting better ways to work with the data