Estuaire is an aviation climate-tech startup helping airlines, airports and regulators reduce their climate impact through advanced emissions analytics and decision tools.
We believe in a more responsible way of flying. New-generation aircraft, contrail mitigation, sustainable aviation fuel and electric aviation will all play a role. Our mission is to help aerospace stakeholders navigate these options using data and scientific modelling.
Our founders bring experience from Airbus, MIT, Preligens and Groupe ADP, combining deep aerospace expertise with climate innovation.
Joining Estuaire means working in an early-stage startup where much remains to be built, with exposure to a strong network across aviation, climate tech and research.
You will join Estuaire’s technical team and work closely with our collaborators in charge of technology and climate modelling.
Your work will sit at the intersection of data science, aviation engineering and climate modelling.
Product & Technology
Prototype and develop new data-driven features for our climate analytics platform
Improve data ingestion, cleaning and processing pipelines
Optimize computations and infrastructure to support scaling
Analyze how customers use our products and help refine the product roadmap
Climate Science & Aviation Analytics
Develop aviation climate models based on scientific research
Work on non-CO₂ aviation effects, including contrails
Combine AI, numerical weather prediction (NWP) and aircraft performance modelling
Contribute to Estuaire’s expertise with academic and industrial partners
We are looking for a curious and motivated candidate passionate about aviation and climate impact.
Must-have
Background in data science, engineering, aerospace or applied mathematics
Strong Python programming skills
Solid understanding of data analysis and modelling
Curiosity, autonomy and ability to work in a fast-moving startup environment
Strong interest in sustainability and climate innovation
Fluent English (our working language)
Nice-to-have
Knowledge of aviation systems or aircraft performance
Experience with meteorological, geospatial or climate data
Experience with machine learning or numerical modelling
French is a plus but not required
We hire for potential, curiosity and impact mindset.
1️⃣ Interview with our Tech Co-founder (30–45 min)
Discussion about background, motivation and technical experience.
2️⃣ Interview with our second Co-founder (30–45 min)
Conversation about interests and alignment + a short live case.
3️⃣ Technical interview with the team (1h)
Technical case to prepare and present around data science and aerospace topics.
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