Analytics Engineer: Own the Metrics Engine for Fashion

Carbonfact; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Carbonfact is building the Environmental Intelligence Platform for fashion, turning messy data into measurable environmental insights. We seek an Analytics Engineer to own the metrics layer, ensure data quality, and collaborate with Engineering, Data Science, and Product to keep numbers consistent, tested, and documented.

You will consolidate data sources, govern semantic definitions, and guard data quality before customer delivery, enabling auditable, regulation-ready outputs for brands in the

Qualifications

• 4+ years of professional experience in analytics engineering or an adjacent data role.
• SQL proficiency on a columnar warehouse, BigQuery ideally.
• You have run a transformation layer in production, not just contributed models to one.

Responsabilités

• 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.
• Implement and test the data contracts behind company KPIs, and challenge definitions that would not survive an audit.
• Partner on product bets: define success metrics that survive scrutiny and implement their tracking on governed models.
• Treat agent-facing tooling as part of the data layer: Claude skills, MCP tools, and generated dictionaries.
• Detect bad data early and route failures to the right owner, before a customer ever sees them.

Connaissances

Analytics engineering

SQL

Python

BigQuery

dbt

GitHub Actions

Data governance

Outils

BigQuery

dbt

GitHub Actions

Description du poste

Carbonfact is building the Environmental Intelligence Platform for fashion, turning messy data into measurable environmental insights. We seek an Analytics Engineer to own the metrics layer, ensure data quality, and collaborate with Engineering, Data Science, and Product to keep numbers consistent, tested, and documented.

You will consolidate data sources, govern semantic definitions, and guard data quality before customer delivery, enabling auditable, regulation-ready outputs for brands in the