Software tailored to apparel, textile, fashion, leather, footwear and luxury. Measure, Report and Reduce their footprint, with a team of data experts. Backed by Y Combinator.
About the role
Own the SQL transformation layer that materializes our metrics in BigQuery: guidelines, contracts, tests, monitoring, and CI gates. Build and govern the semantic layer that becomes the single source of truth for the platform, internal KPIs, and AI tools.
More about this role
The fashion industry is responsible for 5–10% of global greenhouse gas (GHG) emissions. As climate pressure grows, fashion companies need carbon tools built for their reality, not generic platforms.
Carbonfact is the Environmental Intelligence Platform for textile and fashion. We turn messy business data into environmental intelligence so brands can measure, model, reduce, and report on their impact with confidence.
We've raised $17M from top-tier investors including Alven, Headline, and Y Combinator, and we're trusted by brands like Carhartt, GANNI, On, Burton, Armedangels, Jack Wolfskin, and many more.
Our platform is organized around four pillars: Collect customer data through custom connectors, Measure impact from a single process to an entire brand, Reduce footprint through simulation tools and Report with audit-ready, regulation-compliant outputs.
As our first Analytics Engineer, you will own the layer that makes our numbers trustworthy. The footprint a customer sees, the KPIs our team relies on, and the data our AI agents query all flow through one metrics system. Your mission is to make sure data quality issues never reach customers, and build the function to keep it that...
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