Ingénieur en Données Géospatiales / Geospatial Data Engineer

The role

You will build the data backbone for autonomous drone operations. You will work with the CTO to create geospatial processing systems for intelligent flight decision-making.

What you will do

• Design and build scalable geospatial data processing pipelines and software components
• Develop GIS analysis tools and algorithms for UAV route optimization
• Integrate and process multi-source geospatial datasets
• Build automated workflows for continuous data ingestion and processing
• Create APIs and services for real-time geospatial analysis

Required qualifications

• 3+ years building GIS software components and data processing systems
• Proficiency with core GIS tools and libraries (QGIS, GDAL/OGR)
• Strong understanding of coordinate systems, projections, and spatial data structures
• Experience with geospatial algorithms (visibility, spatial analysis)
• Strong Python development with scientific computing stack (NumPy, Pandas, SciPy)
• Experience with geospatial Python ecosystem (GeoPandas, Rasterio, Xarray)
• Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS)
• Comfortable with cloud infrastructure (Google Cloud preferred), containerization tools (Docker), and version control (Git)

Nice to have

• Degree in GIS, Computer Science, Engineering, or related field
• C/C++ for performance-critical geospatial processing
• Experience with meteorological data formats (NetCDF, GRIB) and weather models
• Background in meteorology, atmospheric science, or aviation
• Knowledge of AI/ML concepts applied to geospatial data

Before you apply

• Only candidates who are legally entitled to work in Canada will be considered

About the company

Shearwater develops a full autonomy framework that enables drones to make intelligent flight decisions onboard. Their platform combines weather-aware route planning, real-time guidance, and onboard decision-making.