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Geospatial data engineer

Mitigrate

Mitigrate

Data Science
Posted on Dec 24, 2024

About Mitigrate

Mitigrate is a VC-backed ClimateTech and InsurTech SaaS startup that provides fully automated analyses to guide preventive measures reducing climate risks on real estate. Our platform combines high-resolution satellite imagery, machine learning models, and optimization algorithms to predict and prioritize over 40 climate-positive measures for reducing risks.

Our business value lies in mitigating risks for individual assets and optimizing preventive strategies across large commercial and residential real estate portfolios. Our clients include insurance companies, banks, and municipalities.

We were recently awarded a Horizon EU project as part of a consortium focused on insurance product innovation. Mitigrate has been recognized as the 27th most innovative InsurTech startup in Europe by InsurTech Connect and has participated in the prestigious Lloyd’s Lab accelerator in London, one of the world's leading InsurTech accelerators.

About the opportunity

As a Geospatial Data Engineer at Mitigrate, you will play an essential role in processing, analyzing, and managing geospatial data, which is central to our climate risk prevention solutions.

Collaborating with cross-functional teams, including software engineers, you’ll use your expertise in Python libraries like Xarray and Geopandas, as well as cloud infrastructure tools such as AWS and Terraform, to develop robust, automated data pipelines. Your contributions will drive advancements in remote sensing, machine learning, and geospatial analysis to support our mission.

Responsibilities

Data pipeline development
  • Design and implement efficient pipelines to process large-scale geospatial data.
  • Debug and resolve technical issues related to geospatial data workflows.
Collaboration
  • Work with cross-functional teams to gather and refine requirements for geospatial data projects.
Integration and automation
  • Build and maintain APIs for seamless integration of geospatial data with front-end and third-party systems.
  • Implement and manage cloud infrastructure using Terraform on AWS to support geospatial workflows.
Quality assurance and innovation
  • Write high-quality, maintainable code with a focus on code reviews and testing.
  • Stay informed about emerging technologies and best practices in geospatial data engineering, remote sensing, and related fields.

Requirements

Core qualifications
  • Education: Bachelor’s degree in Computer Science, Geoinformatics, or a related field (or equivalent experience).
  • Experience: 1-2 years of experience in geospatial data engineering or a similar role.
  • Technical expertise:
    • Proficiency in Python and libraries like Xarray, rasterio, rioxarray, and Geopandas.
    • Strong understanding of geospatial data formats, standards, and processing techniques.
    • Experience managing cloud infrastructure, especially on AWS, using Terraform.
    • Familiarity with RESTful API design and development.
Skills and attributes
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration abilities.
Bonus qualifications
  • Experience with AI-based software development.
  • Background in developing enterprise software backends.

What we offer

  • Competitive salary and equity in a fast-growing startup.
  • Opportunities to work with cutting-edge technologies, including AI, machine learning, and remote sensing.
  • An inclusive, collaborative, and supportive work environment.
  • Career growth opportunities within Mitigrate.

How to apply

If you’re passionate about driving climate adaptation solutions and ready to make an impact, we’d love to hear from you!

  • Apply by: Sending your resume and a brief cover letter highlighting your geospatial data engineering experience to jobs@mitigrate.com
  • Alternatively, complete the application form on our website.

Note: Only shortlisted candidates will be contacted.

Mitigrate is an equal opportunity employer committed to fostering diversity and inclusion in the workplace. Applicants from all backgrounds are welcome to apply.