9 часов назад
Analytics Engineer (dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (dbt): Building reliable, scalable dbt data models and tests for Product, Growth, and Ops Finance analytics with an accent on dimensional modeling, business partnering, and technical-debt reduction. Focus on migrating the data stack to Omni, creating a semantic layer, and using AI to accelerate modeling, documentation, and testing while maintaining data quality.
Location: Remote from Paris, Barcelona, Belgrade, Berlin, or Milan
Company
is a European fintech company providing a finance workspace with banking and financial tools for SMEs.
What you will do
- Design and ship production-grade dbt data models and tests for Product, Growth, and Ops Finance analytics.
- Partner with Business Analysts to understand requirements and challenge requests that could reduce long-term reliability.
- Help migrate the data stack to a more scalable setup, including the ongoing move to Omni and a real semantic layer.
- Own projects from discovery through delivery and measure their business impact.
- Use AI tools to accelerate documentation, testing, and modeling while retaining responsibility for technical judgment.
Requirements
- Strong Analytics Engineering fundamentals, including dbt, SQL, and dimensional modeling.
- Experience shipping production-grade data models used by other teams for dashboards and analytics.
- Ability to balance scalability and delivery speed while maintaining data quality.
- Comfort partnering with stakeholders and pushing back constructively on unreliable requirements.
- Ability to take projects end-to-end; senior profiles may also help raise team standards.
- Must be based remotely in Paris, Barcelona, Belgrade, Berlin, or Milan.
Culture & Benefits
- Remote workplace within the listed European locations.
- Opportunity to shape Analytics Engineering standards during team scaling and data-stack migration.
- Growth opportunities across Business Analytics, Compliance, and Foundation scopes.
- Daily access to AI tools and encouragement to use them in analytical workflows.
- International environment with more than 80 nationalities.
Hiring process
- The hiring process lasts approximately 20 working days.
- Candidate data may be retained in the talent pool for up to two years.
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