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9 часов назад

Analytics Engineer (dbt)

Формат работы
remote (только Europe)
Тип работы
fulltime
Английский
b2
Страна
France/Serbia/Spain +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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