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Postuler maintenant 👉🏻 [email protected]

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About Darwin

We're on a mission to revolutionize biodiversity impact assessment. Our cutting-edge platform helps businesses measure and manage their biodiversity footprint, integrating seamlessly into ESG compliance tools and carbon accounting platforms via API.

🌍 The Opportunity

With CSRD regulation now mandatory, we're experiencing explosive demand. We've secured pre-seed funding and are working with leading consulting firms (Deloitte, KPMG, Carbone4, B&L Evolution, Utopies) and major organisations (Bouygues, Eurazeo).

What's next? We're scaling our platform features and commercial reach throughout 2026-2027 to capture the regulatory wave. We're investing >70% of our funding in tech to build Europe's dominant biodiversity platform.

👥 The Team

You'll join a tight-knit data team working closely with engineering:

• Cyprien (CPTO) — Product, engineering & GTM
• Pierre (Head of Data/AI) — Data pipelines, ML & infrastructure
• Igor (Backend) — API & Rust core (15+ years XP)
• Olivier (Frontend) — Vue.js app (20+ years XP)

We move fast, own our work end-to-end, and ship features that directly impact enterprise clients.

🎯 The Role

As a Data Engineer, you'll report directly to our Head of Data/AI and work alongside our founding team to build and scale our data infrastructure. You'll be central to enabling our platform's biodiversity analytics and AI capabilities.

Your mission:

• Design, build, and maintain scalable data pipelines to ingest, process, and transform biodiversity and environmental datasets
• Architect and optimize our data warehouse and data lakes for analytics and ML workloads
• Implement ETL/ELT processes to integrate diverse data sources (ecological databases, client data, external APIs)
• Ensure data quality, reliability, and observability across pipelines