Climate Data Architect
il y a 24 heures
About Kayrros
Kayrros is a pioneering company founded in 2016, leveraging artificial intelligence and machine learning to analyze satellite imagery and other inputs at scale. Our goal is to provide standardized, near-realtime data on greenhouse gas emissions and energy supply chains, as well as bespoke data on emissions, climate risks, land-use change, and other metrics.
Our technologies offer a powerful set of tools to reduce our climate footprint, manage climate risks, harden resilience to extreme weather events, and accelerate the transition to a lower-carbon economy.
We have offices in Paris, Houston, New York, London, Bangalore, and Singapore, and are 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.
Job DescriptionAs a Senior Data Engineer (CDI), you will be part of the Engineering Team responsible for developing Kayrros' key software components for remote sensing data processing and elaborating pipelines that power Kayrros products.
The team has a specific focus on Earth observation data (optical, SAR, lidar) and geolocation data. Your role will involve working with remote sensing, geospatial, and machine learning engineers to integrate and scale their algorithms.
You will 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, and work with the full range of data sources used at Kayrros (optical, SAR, hyper-spectral).
Key Responsibilities- 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
- Work with remote sensing, geospatial, and machine learning engineers to integrate and scale their algorithms
- Collaborate with the full range of data sources used at Kayrros (optical, SAR, hyper-spectral)
Requirements
At least 5 years experience in Data or Software Engineering
Experienced Python engineer (pytest, numpy, typing, etc.)
Knowledge of at least one public cloud provider (AWS, GCP, Azure) and its managed services (S3, SQS, Lambdas, etc.)
Can communicate clearly in English
Familiar with new data formats (geoparquet, cloud optimized geotiff, etc.)
What We OfferA competitive salary: €120,000 - €150,000 per year
Ongoing training and professional development opportunities
An international and dynamic work environment
The opportunity to work on a high-impact project with a talented team
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