Lead Data Engineer

Join QAIrbon as our Lead Data Engineer

To transform our first successes, deliver a truly impacting solution for CO2 reduction

Leveraging Space technology, Climate Science and AI

OUR MARKET AND VALUE PROPOSAL

QAIrbon addresses the regulatory CO
2
market, and provides industry, finance and institutions with precise, reliable and certified data on CO
2
emissions of industrial sites. We tackle the current situation where all CO
2
data are based on declarations and proxies, and build our products on direct measurement of emissions.

We are targeting a 2 b€ serviceable addressable market, with 20% CAGR, driven by increasingly stringent regulations and reputational aspects. Just considering Europe, 10,000’s companies will report their CO
2
emissions, and 70 b€ of CO
2
quotas are expected to be paid by 2030 by industry and importers.

QAIrbon will provide the very first independent, reliable and validated measurement of industrial CO
2
emissions to the economy ecosystem (Industry, Finance, Insurance, Institutions, Consultants), fostering transparency and impact for a greener economy.

Our ambition is to become the worldwide reference of industrial CO
2
emissions.

OUR PROJECT

QAIrbon uses Earth observation techniques by combining all accessible satellites—both institutional and commercial—as well as operating its own satellite. We’re also developing an intelligence platform that integrates every measurement source to provide our customers with actionable, validated data.

We harness a unique, disruptive space optical measurement instrument from a leading European space player. Our high-tech partner ecosystem includes top French labs in atmospheric science and AI, plus some of Europe’s most innovative companies. Our Board features Philippe Ciais (Research Director at LSCE) and Denis Payre (successful multi-entrepreneur—co-founder of Business Objects and President of Nature and People First).

We have significant institutional interest, with confirmed support for our development roadmap. This gives the company solid credibility and a clear path to rapid growth. We’ve secured a contract with CNES (the French space agency) for our first Proof of Concept and identified early adopters across Industry, Finance, and Consulting.

In 2024, we completed our first funding round, backed by both private and public investors.

THE FOUNDERS / THE TEAM

Hervé Hamy, as CEO, Jean-Philippe Durieux, as Managing Director, and Benoît Blanco, as CTO, gathered with the strong initial motivation of having an impact on the environment, leveraging state-of-the-art technologies and best market positioning. We leverage over 40 years of experience in top executive positions, and bring huge experience in GHG monitoring, space technologies, sales, complex project management, and business partnership.

We have already gathered 3 top talents in atmospheric modelling, data science and IT security. We are now growing the team, attracting new top atmospheric and data scientists, and making our team international.

We are mainly based in Grasse, on the French Riviera, in a both scientific and technological ecosystem, and we also have an office in Paris. Remote working is possible under conditions to be agreed.

JOB DESCRIPTION

We are looking for a skilled Lead Data Engineer to manage end-to-end data pipelines for open-source geospatial data—primarily satellite-based, but also from other sources. This role requires advanced ETL (Extract, Transform, Load) skills across both structured and unstructured data, as well as deep GIS expertise (QGIS, or similar). Proficiency in Python, and SQL is crucial for automating tasks, building robust pipelines, and working with cloud-based GIS services and APIs.

Depending on your skills and interests, you may contribute to the technical definition and development of our platform.

You will collaborate closely with the Lead CO₂ Data Scientist, the Head of Infrastructure, and our CTO, two Atmospheric Scientists, and the broader team to tackle complex environmental challenges, with a focus on tracking and mapping CO₂ emissions.

TARGETED PROFILE

The expected competence and expertise of the Lead Data Engineer who will join QAIrbon are:

·      Data Expertise / ETL. Demonstrated proficiency in creating and optimizing scripts, jobs, and packages to extract, transform, and load data from diverse sources (structured and unstructured). Proficiency in SQL and database management is essential (PostgreSQL).

·      Proficiency in Python for data automation and scripting—particularly in geospatial applications. Experience with data pipelines (GitLab, Kubernetes, Airflow), CI/CD, APIs, and cloud-based services (AWS, GCP, Exoscale) is essential.

·      Deep expertise in processing, analyzing, and visualizing spatial data. Advanced GIS knowledge along with proficiency with QGIS, or similar GIS platforms is key. Understanding of satellite and other remote-sensing data is a strong advantage.

·      General DevOps expertise is a strong advantage.

·      Additionally, integration into the QAIrbon team will be key, sharing the same initial motivation. Prior startup experience is preferred.

APPLICATION PROCESS

Please send your application to careers@qairbon.com. You will then be contacted to organize an interview with our teams.

*Do not hesitate to apply even if you do not meet all requirements.*

*The position is open for an operational start as early as June 2025.*

*The proposed package is to be agreed based on two components, adapted to a start-up environment: a yearly salary and BSPCE (company stock purchase warrant).*

Tagged as: .net, APIs, Git, Python, SQL

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