Analytics Engineer: AI-Driven Data Models for Growth

Qonto; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Qonto is hiring an Analytics Engineer x Business Analytics to own end-to-end data models feeding Product, Growth, and Ops Finance analytics, designing scalable dbt models and ensuring reliability. You will collaborate daily with Business Analysts and the Analytics Engineering Manager to push for scalable standards as we migrate to Omni.

You will build trusted data models, push back on dubious requests, reduce tech debt, and leverage AI to accelerate modeling and documentation while preserving

Formación

• Strong in dbt and SQL, dimensional modeling.
• Experience shipping production-grade models used by dashboards.
• Able to push back on stakeholder requests while preserving data quality.

Responsabilidades

• Build data models Business Analytics teams trust — design and ship dbt models and tests that hold up under real, everyday use across Product, Growth, and Ops Finance
• Partner with Business Analysts, not just execute for them — understand what they actually need, and push back when a request would trade long-term reliability for a quick fix
• Reduce technical debt at scale — help migrate parts of the data stack to a more scalable setup, including our ongoing move to Omni
• Own your projects end-to-end — take work from discovery through delivery, and follow up on its real impact instead of just closing a ticket
• Scale your own workflow with AI — use AI tools to speed up documentation, testing, and modeling work, while keeping the judgment calls in your hands

Conocimientos

dbt

SQL

Dimensional modeling

End-to-end ownership

AI-native work style

Herramientas

dbt

Descripción del empleo

Qonto is hiring an Analytics Engineer x Business Analytics to own end-to-end data models feeding Product, Growth, and Ops Finance analytics, designing scalable dbt models and ensuring reliability. You will collaborate daily with Business Analysts and the Analytics Engineering Manager to push for scalable standards as we migrate to Omni.

You will build trusted data models, push back on dubious requests, reduce tech debt, and leverage AI to accelerate modeling and documentation while preserving