Senior Data Engineer M/F
il y a 4 semaines
Kayrros is a global climate technology company and the world leader in environmental intelligence.
Founded in 2016, it uses artificial intelligence and machine learning to analyze massive amounts of satellite imagery and other inputs at scale and generate standardized, near-realtime data on greenhouse gas emissions and energy supply chains used for trading, environmental compliance and reporting purposes, as well as bespoke data on emissions, climate risks, land-use change and other metrics used by public and private-sector actors such as asset managers, regulators, industrial and consumer-product companies, insurers and others in various proprietary applications. Kayrros technologies provide a powerful set of high-impact tools to reduce our climate footprint, manage climate risks, harden our resilience to extreme weather events, and accelerate the transition to a lower-carbon economy.
Kayrros's accomplishments have earned it wide recognition. We have been named one of TIME's 100 Most Influential Companies, been featured on Fortune's 'Change the World' list in both 2023 and 2024, named Top Five Company of the Year in Fast Company's 'World Changing Ideas' 2024 awards, and won the Financial Times Tech Champion award.
We have offices in Paris, Houston, New York, London, Bangalore, and Singapore. Now, we're looking to grow our outstanding team by hiring gifted individuals who want to disrupt global climate governance and shape the future of finance and the environment.
Join us to make a difference
For more information, visit www.kayrros.com.
We are currently recruiting for our Paris office, a Senior Data Engineer M/F (CDI)
The Team
The Engineering Team is in charge of developing Kayrros' key software components for remote sensing data processing as well as elaborating and running the pipelines that power Kayrros products.
The team has a specific focus on Earth observation data (optical, sar, lidar) and geolocation data.
What you will do
As a Data Engineer, you will:
- Work with remote sensing, geospatial and machine learning engineers to integrate and scale their algorithms,
- Design, implement and operate large-scale imagery and data pipeline on Kubernetes,
- Develop internal shared libraries to ease the creation and maintenance of data pipelines,
- Perform solution trade-off w.r.t maintenance, cost, scalability and robustness.
You will have a transverse role in the development of Kayrros technologies, from domain specific algorithm design to production deployment and operations.
You will work with the full range of data sources used at Kayrros (optical, SAR, hyper-spectral).
As an example, the Team has already developed deforestation monitoring pipelines, methane detection pipelines and many others
Ideal candidate
- At least 5 years experience in Data or Software Engineering.
- Experienced Python engineer (pytest, numpy, typing, etc.).
- Knowledge of Kubernetes and Docker.
- Knowledge of at least one public cloud provider (AWS, GCP, Azure) and its managed services (S3, SQS, Lambdas, etc.).
- Knowledge in PostgreSQL and schema design.
- Knowledge of one popular workflow scheduler and orchestrator (Argo, Airflow, etc.).
- Can communicate clearly in English
Appreciated skills
- Already developed image processing pipelines.
- Familiar with the geospatial open source ecosystem (GDAL, rasterio, proj, etc.).
- Familiar with new data formats (geoparquet, cloud optmized geotiff, etc.).
- Familiar with cloud architecture (resilience, error management, etc.).
Why joining Kayrros?
- We are a young tech company and are extremely passionate about what we do.
- We are located in the WeWork building on Rue la Fayette, 75009.
- You will work with an international team and practice your English (or Chinese, German, Swedish, Portuguese) on a day to day basis.
- We are creating products to make better decisions for the environment and climate.
At Kayrros, we are committed to fostering an inclusive and diverse workplace. We believe in equal opportunities for all applicants, regardless of gender. We actively promote gender equality in all aspects of our recruitment process and encourage applications from individuals of all genders. If you don't meet all the listed skills or qualifications, we still encourage you to apply.
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