Geospatial Data Engineer

GHGSat maps and tracks the world's greenhouse gas emitters using satellite and aircraft sensors to collect emissions data.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI

Description For Geospatial Data Engineer

GHGSat is at the forefront of environmental monitoring, specializing in mapping and tracking greenhouse gas (GHG) emissions worldwide through their innovative satellite and aircraft sensor technology. As a Geospatial Data Engineer based in London, you'll be instrumental in building and optimizing geospatial data and AI/ML pipelines that directly contribute to climate impact initiatives.

The role combines technical expertise in data engineering with a focus on environmental sustainability. You'll work with cutting-edge technology, processing and analyzing data from various sources to detect and quantify GHG emissions. The position requires proficiency in Python, geospatial libraries, and cloud infrastructure, while offering the opportunity to work with advanced AI/ML applications in environmental monitoring.

Working in a collaborative environment, you'll interact with analytics teams and subject matter experts, contributing to both technical implementations and strategic discussions. The hybrid work arrangement offers flexibility, and the company provides competitive compensation including stock options and comprehensive benefits.

This is an ideal opportunity for a data engineer passionate about environmental impact, combining technical expertise with meaningful work in climate change mitigation. The role offers significant growth potential in an emerging field, working with satellite data and advanced analytics to address one of the world's most pressing environmental challenges.

If you're someone who thrives on technical challenges, values environmental sustainability, and wants to be part of a mission-driven team, this position offers the perfect blend of purpose and technical innovation. The company's focus on continuous learning and innovation ensures opportunities to grow while making a real difference in environmental monitoring and climate action.

Last updated 2 hours ago

Responsibilities For Geospatial Data Engineer

  • Design, implement, and optimise scalable geospatial data and AI/ML pipelines
  • Integrate new data sources, including satellite and terrestrial, both public and proprietary
  • Re-engineer and validate existing pipelines, ensuring high-quality and performance standards
  • Blend and process various geospatial data sources to create artifacts for exploratory analysis and insights
  • Build scripts and automations for geospatial data processing
  • Conduct geospatial analysis and contribute to mapping and visualization
  • Contribute to the automation of testing, deployment, and monitoring of data pipelines and AI/ML models
  • Work collaboratively with the Analytics team and Subject Matter Experts
  • Present findings and recommendations to stakeholders
  • Communicate complex geospatial data insights

Requirements For Geospatial Data Engineer

Python
  • 3+ years of experience in data engineering, with specific expertise in geospatial data processing and analysis
  • Proficiency in Python and experience with libraries like Pandas, NumPy, SciPy, and scikit-image
  • Experience with geospatial libraries such as GeoPandas, Rasterio, Xarray, rioxarray, and QGIS
  • Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS)
  • Comfortable with cloud infrastructure (AWS preferred), containerization tools (Docker), and version control (Git)
  • Knowledge of AI/ML concepts applied to geospatial data is a plus
  • Knowledge of frameworks like ClearML and STAC is beneficial

Benefits For Geospatial Data Engineer

Equity
  • Competitive salary + stock options for all full-time employees
  • Full comprehensive benefits
  • Statutory leave + paid time off
  • Flexible hybrid work environment

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