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Join the team

Geospatial Data Engineer


Mitigrate is a VC-backed ClimateTech and InsurTech SaaS startup generating fully automated analyses leading to preventive measures for reducing climate damage on real estate. We use high-resolution satellite images, machine learning models and optimisation algorithms to predict how 40+ climate-positive prevention measures can be implemented to reduce risk. Business value stems from reducing risks on individual assets and prioritising preventive measures within large commercial and residential real estate portfolios. Our customers are insurance companies, banks and municipalities.

We were recently awarded a Horizon EU project as part of a large consortium in insurance product innovation. Mitigrate was ranked 27th most innovative InsurTech startup in Europe by Insurtech Connect, the largest InsurTech conference in Europe and qualified to join the Lloyd's Lab accelerator in London, one of the most prestigious InsurTech accelerators in the world!


Job Description:

As a Geospatial Data Engineer at Mitigrate, you will play a crucial role in processing, analysing, and managing geospatial data critical for our preventive measures. Collaborating closely with cross-functional teams, including software engineers, you will utilise your expertise in Python libraries like Xarray and Geopandas along with cloud infrastructure, particularly AWS, to develop and maintain robust and fully automated data pipelines deployed in the clouds. Your role will be pivotal in enhancing our capabilities in remote sensing, machine learning, and geospatial analysis.



  • Design and implement efficient data pipelines for managing and processing large volumes of geospatial data.

  •  Collaborate with cross-functional teams to gather and refine project requirements related to geospatial data processing and analysis.

  • Develop and maintain APIs for seamless integration of geospatial data with front-end and third-party systems.

  • Implement and maintain cloud infrastructure using Terraform on AWS to support geospatial data processing and analysis workflows.

  • Debug and resolve technical issues related to geospatial data processing and analysis.

  • Write high-quality, maintainable code with a focus on code reviews and testing.

  • Keep up-to-date with emerging technologies and best practices in geospatial data engineering and remote sensing.



  • Bachelor's degree in Computer Science or a related field (or equivalent experience).

  • 1-2 years of experience in geospatial data engineering or a related role.

  • Proficiency in Python programming and experience with libraries such as Xarray, rasterio, rioxarray and Geopandas in the production environment.

  • Strong understanding of geospatial data formats, standards, and processing techniques.

  • Experience with cloud infrastructure management, especially AWS, using tools like Terraform.

  • Familiarity with RESTful API design and implementation.

  • Excellent problem-solving and debugging skills.

  • Strong communication and teamwork skills.

Bonus points:

  • Experience with AI-based software.

  • Experience in developing enterprise software backend


What we offer:

  • Competitive salary and equity in a very fast-growing startup

  • Opportunity to work with cutting-edge technologies (AI, machine learning and remote sensing) in a dynamic and innovative environment.

  • An inclusive, collaborative and supportive work environment.

  • Opportunities for career growth within Mitigrate.


How to Apply:

If you're excited about shaping the future of climate adaptation and are driven to make an impact, we'd love to hear from you. Please send your resume and a brief cover letter highlighting your experience with geographic information data and software development. We look forward to reviewing your application. Only shortlisted candidates will be contacted.

Mitigrate is an equal opportunity employer and welcomes applicants from diverse backgrounds.

If you want to apply send your CV to or fill the form 

Come Work With Us

You will hear from us soon!

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