EO & Geospatial Software Engineer
Posted Updated
We look for a medior software engineer with experience in:
QGIS
PostGIS
Working with vector and raster data
Python, and knowledge of frameworks such as FastAPI
Basic knowledge of javascript, html (to integrate with frontend)
Use of AI coding assitants
Docker
Git
Ideally, but not necessary, knowledge of SAR (Synthetic Apertura Radar) data processing.
GeoKapti B.V. is a Hague-based company specializing in Earth Observation and high-tech software solutions, building systems that turn raw satellite data into actionable insight for clients in agriculture, defense, finance, and logistics, from tree-counting and evapotranspiration estimation for food-security programs to radar analysis and gravitational modeling for ESA and academic research partners (, ZoomInfo). As a Geospatial Software Engineer here, you'll tackle genuinely hard problems at the intersection of geospatial data engineering, remote sensing, and applied AI: fusing heterogeneous satellite and sensor data at scale, writing performant processing pipelines for massive raster datasets, and turning geophysical models (from crop forecasting to radar and gravity modeling) into production-grade applications, with 20 plus years of accumulated expertise around you but plenty of green field to shape.
QGIS
PostGIS
Working with vector and raster data
Python, and knowledge of frameworks such as FastAPI
Basic knowledge of javascript, html (to integrate with frontend)
Use of AI coding assitants
Docker
Git
Ideally, but not necessary, knowledge of SAR (Synthetic Apertura Radar) data processing.
GeoKapti B.V. is a Hague-based company specializing in Earth Observation and high-tech software solutions, building systems that turn raw satellite data into actionable insight for clients in agriculture, defense, finance, and logistics, from tree-counting and evapotranspiration estimation for food-security programs to radar analysis and gravitational modeling for ESA and academic research partners (, ZoomInfo). As a Geospatial Software Engineer here, you'll tackle genuinely hard problems at the intersection of geospatial data engineering, remote sensing, and applied AI: fusing heterogeneous satellite and sensor data at scale, writing performant processing pipelines for massive raster datasets, and turning geophysical models (from crop forecasting to radar and gravity modeling) into production-grade applications, with 20 plus years of accumulated expertise around you but plenty of green field to shape.