Data Engineer - Paris

Long term
Posted on 01-16-2023

AXA Climate

La Raison d'être d'AXA Climate est d'aider la planète Terre à devenir une véritable partie prenante de toutes les entreprises. Notre Mission est l'adaptation climatique et environnementale.

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Impact study
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La Raison d’être d’AXA Climate est d’aider la planète Terre à devenir une véritable partie prenante de toutes les entreprises.
La Mission d’AXA Climate, c’est l’adaptation climatique et environnementale. Au service de cette mission, 4 différents métiers ! 

  • La formation - via des contenus digitaux, scientifiques pour mettre en mouvement tous les collaborateurs, leur donner les compétences et les outils. 
  • Le conseil - pour impacter en local, via des actions d’adaptation concrètes.
  • L’assurance et le financement - pour sécuriser celles et ceux qui s’adaptent, et impactent. 

The Role

Our products fetch data from partners or public data (imagery, weather-stations) and perform some computations to create indicators that are exposed through SaaS systems/APIs internally or to our clients outside. Our indicators help our clients evaluate physical and environmental risks in the era of Climate Change.

Most of this data is geolocated (satellite images, time series, shapes, etc.) and heterogeneous (temperature, rain, vegetation index, sea level rise etc). To process it in bulk and guarantee data security, we have developed a server-less computing platform called Cocoon. The objectives of cocoon are to:

  • Manage AXA Climate assets
  • Enrich assets with public or private data
  • Expose data to users

We are hiring a Data Engineer to reinforce the team and work with senior engineer on handling our data and back-end components


  • Design and setup the integration and storage of geographical data
  • Structure data processing to help all teams process data efficiently
  • Find innovative ways to expose our results to the outside world

Skills and Requirements

  • Experience in designing systems to effectively process lots of (geo-spatial) data
  • Good knowledge of the Python eco-system, package managers
  • Experience in CI/CD


  • Background in data processing (pandas, dask, spark…)
  • Experience with GIS systems and libraries (PostGIS, map servers etc.)
  • Front-end development skills/Data visualization
  • Experience on AWS or Terraform