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Geospatial Data Engineer H/F
Job summary
A climate technology company in Paris is seeking a Data Engineer to support climate data services. The role involves setting production algorithms, developing data requests, and ensuring scalable data pipelines. Candidates should have a background in data engineering, strong Python skills, and a keen interest in environmental issues. A degree from a leading engineering school or university is required.
Qualifications
- Previous experience as a Data Engineer or Machine Learning Engineer.
- Proven track record of building big data pipelines.
- Familiar with geospatial data manipulation.
Responsibilities
- Deliver high-quality technical solutions.
- Set in production algorithms developed by the team.
- Develop features for customizing data product requests.
- Ensure performance and scalability of algorithms.
- Set up and monitor data acquisition pipelines.
Skills
Education
Tools
Altitude solution was launched in September 2022. It is three products, connected on one single data platform. It is enabling CSR/ESG teams to screen climate and nature related risks and opportunities within minutes, very easy to use, and fully automated.
- Altitude Finance: dedicated for Infrastructure and Private Equity funds
- Altitude Industry: dedicated for corporates
- Altitude Agriculture: dedicated for food & Ag
You can know more about all our products here: www.axa-altitude.com
The Data Team of Altitude is in charge of the whole chain of production of climate data services from developping state-of-the-art climate models and algorithms to putting in production scalable API to request this data.
Under the supervision of the Lead Data Engineer, you will deliver high-quality technical solutions :
- Set in production the algorithms developed by the climatologists and data scientists of the team
- Develop the relevant features to customize the requests of the various available data products, in agreement with our customers need
- Ensure the performance and scalability of the algorithms set in production
- Set up robust and scalable data acquisition pipelines
- Ensure the monitoring and the execution of the data acquisition pipelines
- Grandes Écoles d’ingénieurs (X, CentraleSupélec, École des Ponts, Mines, ENTPE, ENSTA, ENSAE…)
- MSc in top French, European or International Universities (Paris-Saclay, Dauphine, Imperial College, ETH Zurich, EPF Lausanne…)
- Major in Computer Science
- Previous experience as a Data Engineer or Machine Learning Engineer with proven track record of building big data pipelines / setting models into production
- Previous experience with AWS Cloud engineering
- Previous experience in geospatial & climate related field is a +
- Strong skills in Computer Science as well as in Data Science/Statistics.
- Strong skills in Python – familiar with geospatial data manipulation (geopandas, rasterio, etc).
- Knowledge of GDAL
- Pragmatic, Business & Solution-oriented.
- Ability to work with various scientists and experts on various natural or physical subjects.
- Demonstrated interests in climate and environmental issues.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.