Founding Analytics Engineer

Posted: 2026-08-07

- 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.

- A clear communicator who turns "ping the data person" rituals into self-serve handoffs.

- 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 real autonomy and a direct line to the founders and function leads, in exchange for building alone before maybe building a team. At a comparable proptech you would join an existing team and an existing roadmap. Here, what a metric means at Zefir is not decided yet, and you are the one who decides it.

It suits a doer’s mindset, including someone who has already led and wants to go back to building.

THE FOLLOWING IS FOR PERMANENT EMPLOYEES ONLY. FOR OTHER CONTRACTS (INTERNS, APPRENTICES, FIXED-TERM..), PLEASE, CHECK WITH YOUR RECRUITER.