5 of 5 GeoPandas Jobs in the UK

delivery environment. Essential Skills & Experience Strong commercial experience in GIS Engineering or Geospatial Development roles. Excellent Python development skills, ideally using libraries such as GeoPandas, Shapely, Fiona, Rasterio, GDAL/OGR and PyProj. Experience working with spatial databases such as PostGIS. Strong knowledge of coordinate systems, projections, geometry, topology ...

skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies. Ability to work with large and complex datasets and build robust data pipelines. Excellent analytical and problem-solving skills with the ability ...

with third‐party geospatial, environmental or property datasets. Strong technical capability across Python, R and SQL. Experience using GIS technologies such as QGIS, ArcGIS, GeoPandas or PostGIS. Understanding of model governance, explainability and regulatory requirements. Excellent stakeholder management and communication skills. If your experience aligns with many of the areas ...

technical decisions and work well within a team Desirable Python experience, particularly building APIs with FastAPI Geospatial experience — a real bonus, whether in Python (GeoPandas, Shapely, rasterio, PostGIS) or on the web (Leaflet, Mapbox GL/MapLibre, OpenLayers, Turf.js, or working with GeoJSON and map tiles) Experience building with ...

Desirable Skills Experience with geospatial technologies and concepts, including: Spatial databases (e.g., PostGIS, BigQuery, DuckDB, Google Earth Engine) Geospatial libraries (e.g., GDAL/OGR, GeoPandas, Proj4, Gmaps, Leaflet, Leafmap,rasterio, STAC) Geospatial data formats (ESRI shapefiles, geojson, geotiff, zarr, geoparquet Familiarity with data science libraries like pandas. Geopandas, xarray ...