Founding Analytics Engineer
Zefir· Engineering
Paris€85.3k - €93.8kFull-timePosted 2mo ago
About the role
Founding analytics engineer role focused on building a canonical semantic layer, governance, and self-serve analytics at Zefir, a proptech startup building an AI autopilot for home sales in Europe.
Responsibilities
- Canonical models and metric definitions. A documented semantic layer with canonical entities (Buyer, Seller, Asset, Agent) and Bronze / Silver / Gold layers. Clear contracts between what Engineering exposes and what each function consumes.
- Self-serve enablement. Clean models, consistent BI primitives, row- and column-level security, so Ops, Growth, Finance and Account Managers build their own dashboards without compromising accuracy.
- Analytics and tracking governance. Global event taxonomy and tracking roadmap, hybrid client-side and server-side event strategy, consistent sync across CRMs and marketing platforms, GDPR consent flows by design.
- Platform reliability, safety and cost. Versioned transformations, monitoring of freshness, failures and usage, sane ingestion patterns, no production path depending on BI tables.
- Data and AI driving decisions. Standardized metric definitions, reusable logic, and pre-computed data models for internal AI tooling.
Qualifications
- 7+ years as a Data, Analytics or Platform Engineer, ideally including a stint at a fast-moving consumer or marketplace company
- 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)
- Shipped event tracking and instrumentation in production: taxonomy, client and server-side events, attribution, GDPR-compliant opt-out, downstream propagation
- Ingestion patterns (Fivetran, Airbyte, CDC), reverse-ETL (Hightouch, Census, Segment), and access governance (IAM, row- and column-level security, PII tagging)
- Built and owned a semantic or metrics layer, able to arbitrate metric definitions with Finance, Ops and Growth
- Treats AI agents as first-class data consumers: exposing data through MCPs, semantic APIs or text-to-SQL, with guardrails
- Strong ownership: writes standards, defends them, fixes issues without waiting for permission
- Clear communicator enabling self-serve handoffs
- Fluent in English and French
Skills
Required:Canonical data models and semantic layerSQL & data modelingBigQuery / Snowflake / Redshiftdbt or equivalentPython for pipelinesOrchestration (Airflow, Dagster, Prefect)Data ingestion (Fivetran, Airbyte, CDC)Reverse-ETL (Hightouch, Census, Segment)IAM & data access governanceSemantic APIs / MCPs / text-to-SQLCommunication & stakeholder enablementBilingual fluency
Benefits
- Competitive salary: salary calculator available
- BSPCE (Stock Options) with monthly vesting after year one over 4 years
- Healthcare plan with Alan for team members and dependents
- Office in Le Peletier, Paris with flexible remote work options
- Swile meal card: €11 per worked day
- Swile mobility card: €45/month
- Team events: Monthly Mixers and quarterly All Hands
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Zefir
La 1e plateforme immobilière intelligente.
Zefir est la 1e plateforme immobilière de vente collective qui accélère la rencontre entre vendeur et acheteur, en facilitant la coopération de tous les agents.
immobiliervente collectiveIAassistance immobilière
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