Geospatial Data Engineer

GHGSAT
London
11 months ago
Applications closed

Related Jobs

View all jobs

Land and Geospatial Surveyor Trainer

GHGSat is a global technology leader with pioneering emissions-monitoring capabilities that drive industrial efficiency with positive impact. Harnessing the power of satellites and aircraft, GHGSat traces emissions directly to their source at an unmatched speed, delivering the data and insights required to take action. A trusted partner for organizations around the world, GHGSat empowers decision-makers to tackle emissions, accelerating progress towards a resilient energy future. 

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. 

Requirements

Data Pipeline Development  

  • 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. 

Geospatial Data Management  

  • 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. 

Automation and Deployment  

  • Contribute to the automation of testing, deployment, and monitoring of data pipelines and AI/ML models using Airflow, Docker, and AWS services. 

Collaboration and Innovation  

  • 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. 

 

Desired Attributes 

  • 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. 

 

Qualifications 

  • 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. 

 

We understand that you may not have experience with every tool or technique listed here. If you have a strong foundation in geospatial data engineering and a willingness to learn, we encourage you to apply! 

Benefits

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Space Industry Tools Do You Need to Know to Get a UK Space Job?

If you’re pursuing a career in the space industry — whether that’s spacecraft engineering, mission operations, space software, satellite systems, ground segment integration or space data analytics — it’s easy to feel overwhelmed by the sheer number of tools, platforms and technologies mentioned in job adverts. One role wants experience with CAD and FEA software. Another asks for experience with GNSS simulation. A third mentions mission scheduling tools, RF link analysis suites, Python, C++, continuous integration — and it seems there’s always another acronym to learn. With so much listed, many candidates fall into the trap of thinking they must master every tool under the sun before they’ll be taken seriously. Here’s the honest truth most UK space hiring managers won’t say out loud: 👉 They don’t hire you because you’ve heard of every tool — they hire you because you can apply the right tools to solve real space problems, explain your reasoning clearly, and deliver results. Tools matter, but they always serve a purpose: achieving mission goals, improving reliability, reducing risk, delivering data, or enabling collaboration. Tools are enablers — not trophies. So how many tools do you actually need to know to get a space job? The answer is much fewer and far more strategic than you might think. This article breaks down: what tools employers really expect which ones are core across most space roles which ones are role-specific how to present your tool proficiency on your CV and in interviews

Jobs

What Hiring Managers Look for First in Space Sector Job Applications (UK Guide)

The space industry is one of the most exciting and multidisciplinary sectors in technology and engineering today. Whether you’re applying for roles in spacecraft design, aerospace systems, robotics, satellite communications, mission operations, payload engineering, space software, ground systems, or scientific research, your application must quickly show hiring managers that you are relevant, technically credible and ready to deliver. In the UK space jobs market — spanning organisations from startups to defence primes, agencies, research labs and commercial constellations — hiring managers do not read every word of your CV. They scan applications rapidly, often making a judgement about whether to read further within the first 10–20 seconds. This guide breaks down exactly what hiring managers look for first in space sector applications, how they assess CVs and portfolios, why specific signals matter, and how you can position your experience to stand out on www.ukspacejobs.co.uk .

Education

The Skills Gap in UK Space Jobs: What Universities Aren’t Teaching

The UK space sector is one of the most exciting and fastest-growing high-tech industries in the world. From Earth observation and satellite communications to space robotics, launch systems and deep-space exploration, the breadth of opportunity is enormous. The UK Government’s ambition to capture a significant share of the global space economy has driven investment, policy support and a wave of innovative companies — both established and start-up. Yet despite strong academic programmes and a pipeline of graduates with relevant degrees, employers in the UK space sector consistently report a persistent problem: Many graduates are not prepared for real-world space industry jobs. This is not a matter of intelligence or motivation. Rather, it reflects a growing skills gap between what universities are teaching and what employers actually need from space professionals. In this article, we’ll explore why that gap exists, what universities are doing well, where they fall short, what employers want, and how jobseekers can bridge the divide to build thriving careers in the UK space sector.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.