Geospatial Data Engineer, GHGSat
+ Stock options
Satellites for emissions monitoring
Be an early applicant
Satellites for emissions monitoring
201-500 employees
Be an early applicant
+ Stock options
201-500 employees
Company mission
To accelerate the decarbonization of our planet by providing actionable metrics and insights that empower the economies of tomorrow.
Role
Who you are
- 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
Desirable
- Impact-Driven Mindset: Passionate about contributing to environmental sustainability and climate impact
- Self-motivated and collaborative worker: Able to work proactively and as part of a team, using initiative to uncover solutions to improve workflows and data processes
- Continuous Learner: Continuously seeks out new geospatial technologies, trends, datasets, and tools to incorporate into projects
- Effective Communicator: Able to convey technical information effectively to both technical and non-technical audiences, promoting a collaborative environment
What the job involves
- We're looking for a Geospatial Data Engineer based in London, UK, who will play a key role in building and optimising our geospatial data and AI/ML pipelines to support GHGSat’s mission of driving climate impact
- This role involves integrating geospatial data from various sources, designing robust data systems, and contributing to analysis and insights generation
- 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, using tools like QGIS, GeoPandas, Rasterio, Xarray and rioxarray
- 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 using Airflow, Docker, and AWS services
- Work collaboratively with the Analytics team, Subject Matter Experts, and cross-teams to prototype new data solutions
- Explore applications of AI/ML for geospatial data and integrate emerging technologies where possible
- Present findings and recommendations to both technical and non-technical stakeholders, fostering a data-driven culture
- Communicate complex geospatial data insights in a clear, accessible manner to support informed outcomes
Salary benchmarks
Our take
As organizations worldwide ramp up their decarbonization efforts, GHGSat is setting out to empower them with emissions data and intelligence that will help optimize their performance and support them in upholding environmental standards.
The company operates a network of satellites that allow for the high-resolution sensing of greenhouse gasses in the atmosphere, that is precise enough to attribute emissions to individual facilities. Through this, it is able to monitor decarbonization progress for specific organizations and support them in making more impactful changes.
In 2022, whilst operating six satellites, GHGSat was able to observe over 500,000 facilities across the globe. In 2023 it added an additional three satellites to its network, which it says will almost double its measurement capacity. As the only company currently delivering high-resolution emissions measurements, GHGSat is in a great position to capitalise on the rising demand for its tech.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 5 rounds)
Sep 2023
$22m
SERIES C
Nov 2021
$13.9m
GRANT
Total funding: $90.9m
Company benefits
- A creative and highly motivating work environment
- Health benefits
- Flex time
- Continuing development
Company HQ
Le Plateau-Mont-Royal, Montreal, QC
Articles
Leadership
Stephane Germain
(President)Was Board Chair at Xiphos Systems Corporation for 13 years, and prior to this worked as a Consultant for Bain & Company.
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