Junior Data Engineer, Kayrros

6-Month Internship

Salary not provided

SQL

Docker

Kubernetes

Python

Paris

Office located in Rue la Fayette, Paris

Environmental intelligence company

Job no longer available

Environmental intelligence company

101-200 employees

B2BEnergyAnalyticsEnvironmentalData Sharing

Job no longer available

Salary not provided

SQL

Docker

Kubernetes

Python

Paris

Office located in Rue la Fayette, Paris

101-200 employees

B2BEnergyAnalyticsEnvironmentalData Sharing

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.

Job

Company

Role

Who you are

Eager to learn software development and data engineering
Basics of Python, SQL, Kubernetes and Docker
Curious about remote sensing data, like Sentinel-1, Sentinel-2, etc
Can communicate clearly in English

What the job involves

The Data 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
As an example, the team has developed methane detection pipelines, deforestation pipelines, and many others
Work with remote sensing, geospatial and machine learning engineers to integrate and scale their algorithms,
Learn how to 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
You will work with space-borne data sources used at Kayrros (optical, SAR, hyper-spectral)

Application process

A six-month internship starting in between January and May 2025

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

Top investors

Few candidates hear
back within 2 weeks

0% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 6 rounds)

Mar 2022

$41.7m

LATE VC

Jun 2019

$2.7m

GRANT

Total funding: $78.9m

Company values

Impact
Science
People

Company HQ

Chaussée-d'Antin, Paris, France

Articles

Climate impact from China’s coal push can be seen from space

AXA partners with Kayrros

French climate tech startup Kayrros raises €40 million to help companies and policymakers achieve sustainability goals

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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