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Geospatial Data Engineer

Geospatial Data Engineer

Amsterdam, Permanent

Backed by the smartest developments in artificial intelligence and satellite imaging, this company are on a mission to use tech to leverage smarter decision making for positive environmental impact. They are on a mission to stop deforestation, forest fires, crop failures, and overall make our planet more green and liveable, both for our generation, and the coming ones. To join this team, we’re looking for a GIS Data Engineer that is as talented as they are passionate about reducing human impact on the environment.


OQ-industries Agriculture
OQ-industries Artificial Intelligence
OQ-industries Sustainability

What to expect:

In this role, you’ll be able to own your own projects and also foster a collaborative team environment where ideas and shared and succinctly executed. You’ll comfortably be able to communicate with your clients/users, managing expectations and explaining technical progress. Your day-t0-day will involve exploring imagery sets and prepping data for training and validating models, owning a vital part of the ML pipeline. You use your passion for preserving the environment to drive you in your work and always look for the simplest, cleanest solutions to a problem. You will be embedded in the data science team with the best in the AI and MLOps game. You will help them in the continued development of their infrastructure, as well as support their AI-technology stack. For this will need to have a huge passion for Data and an in-depth understanding of geospatial data.


  • Stock options and competitive salary
  • Flexible schedule and location arrangements
  • Opportunity to impact the environment in a meaningful and positive way
  • A diverse, seasoned team that operates in a fast paced, supportive startup environment


  • 3+ years working as a data engineer, using geospatial data primarily
  • Advanced Python programming experience
  • GIS data pipeline tools like dask, xarray, geopandas
  • A plus if you have experience building ETL pipelines to ingest satellite data or imagery
  • Passionate about sustainability and the ways we can use tech to solve real work environmental problems
  • A plus if you have used some deep learning frameworks, or tools like MLFlow/Kubeflow/Dask

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn