Join Zefir, a fast-growing startup revolutionizing the home sales process in Europe with AI technology. As the Founding Analytics Engineer, you will be responsible for establishing a reliable and efficient data infrastructure, enabling self-serve analytics, and ensuring data governance. You will have total autonomy and a direct line to the founders, making a significant impact on the company's success.
About the role
7+ years as a Data, Analytics or Platform Engineer, ideally including a stint at a fast-moving consumer or marketplace company. Staff or Lead exposure expected. Hands-on with the modern data stack: BigQuery (or Snowflake, Redshift), dbt or equivalent, advanced SQL and data modeling, Python for pipelines, orchestration (Airflow, Dagster, Prefect). You have shipped event tracking and instrumentation in production, end to end: taxonomy, client and server-side events, attribution, GDPR-compliant opt-out, propagation downstream. Comfortable with ingestion patterns (Fivetran, Airbyte, CDC), reverse-ETL (Hightouch, Census, Segment), and access governance (IAM, row- and column-level security, PII tagging). You have built and owned a semantic or metrics layer, and you can arbitrate metric definitions with Finance, Ops and Growth without flinching. You treat AI agents as first-class data consumers: exposing data through MCPs, semantic APIs or text-to-SQL, with proper guardrails. Strong ownership: you write the standards, defend them, and fix what is broken without waiting for permission. Fluent in English and French. **The honest trade-off:** there is no data team to manage, and none planned in the short term. You get total autonomy and a direct line to the founders, in exchange for building alone before building a team. Here, what a metric means at Zefir is not decided yet, and you are the one who decides it. It suits someone who has already led and wants to go back to building.Key missions
- Ownership of the canonical models and metric definitions, ensuring a documented semantic layer with clear contracts between Engineering and BI.
- Enabling self-serve analytics for Ops, Growth, Finance, and Account Managers by providing clean models, consistent BI primitives, and row- and column-level security.
- Establishing analytics and tracking governance, including the global event taxonomy and tracking roadmap, to ensure consistent sync across CRMs and marketing platforms.
Benefits
- Between 1-2 days at home
- Reduction of working time (RTT)
- Cooptation bonus
- Stock purchase plan / Stock options
- Team building
- Afterworks, Team lunches
- Company sponsored family events
- Employer-paid health insurance
- Sustainable mobility package