What we’re looking for:
- 3+ years of practical experience working with geospatial data using the open source GIS software ecosystem (QGIS, GRASS, GDAL…)
- Proficient in data manipulation and statistical analysis using the Python GIS ecosystem (GeoPandas, Shapely, Rasterio, NumPy…)
- Deep understanding of geospatial libraries and data formats
- Strong analytical and troubleshooting abilities
- Ability to work independently and excel at communicating technical solutions
- Bachelor's (or Master's) degree in geoinformatics, geodesy, geography, computer science or a closely related area
- Fluency in technical English (specific to GIS)
Bonus points:
- Experience with Web GIS software development (using FastAPI/Django, OpenLayers, Vue.js or equivalent)
- Experience with utilizing the Python machine learning ecosystem (scikit-learn, XGBoost, PyTorch) in a geospatial context
- Experience with building and maintaining containerized environments for geospatial applications
- Familiarity with PostGIS
- Cloud platform experience
Required educationMaster's degree, Masters, Professional Bachelor (of), Master's degree, PhD, Bachelor's degree
Digital skillsCloud computing, Geographic Information Systems (GIS), Machine Learning (ML), PostGIS, Python, QGIS, WebGIS
LanguageEnglish (B2)
Minimum years of work experience3-5