Senior Data Engineer, Kayrros
CDI
Environmental intelligence company
Open for applications
Environmental intelligence company
101-200 employees
Open for applications
101-200 employees
Company mission
To give energy and industrial actors the data tools they need to optimize operations, tackle the climate challenge, navigate the energy transition and stay on top of fast-changing markets.
Role
Who you are
- 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
Desirable
- 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.)
What the job involves
- 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
- 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!
Our take
As the world becomes more conscious of its environmental impact, it is vital that big businesses are held accountable for their global emissions. Alongside this, there are phenomenal advancements in technology which provide the ability to monitor the transition from harmful energy sources to greener alternatives.
Kayrros is a geo-analytics company that uses satellite imagery and other alternative data technologies to monitor all physical assets in the global energy, natural resource and industrial sectors. The company aims to provide energy and industrial corporations with the data tools they need to optimize operations, and in turn, tackle the climate challenge.
This use of data will enable companies to navigate the energy transition and keep ahead of the fast-changing markets, with the company already assisting multiple operators and governments to make better informed environmental decisions. As the global drive towards sustainability intensifies, Kayrros is well positioned to continue to expand and develop its customer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Mar 2022
$41.6m
LATE VC
Jun 2019
$2.6m
GRANT
Total funding: $78.8m
Company values
- Impact
- Science
- People
Company HQ
Chaussée-d'Antin, Paris, France
Articles
Leadership
Antoine Rostand
(Co-Founder & President)Was President and Founder of the Schlumberger Energy Institute and Schlumberger Business Consulting. Before this, managed the European businesses of the Consulting and System Integration arm of SchlumbergerSema, and was President of Electronic Data Systems in France.
Antoine Halff
(Co-Founder & Chief Analyst)Former Chief Oil Analyst of the International Energy Agency, as well as Lead Industry Economist at the US Energy Information Administration, part of the US Department of Energy.
Laurent El Ghaoui
(Co-Founder & Scientific Advisor)Professor of Electrical Engineering and Computer Sciences at UC Berkeley. Also worked as a Quantitative Analyst for the hedge fund SAC Capital Management.
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