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8 дней назад

Senior Analytics Engineer (eCommerce)

70 000 - 85 000€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Analytics Engineer (eCommerce/Brand Analytics): Building production-grade analytical transformations and metrics for retail media performance and budget reporting with an accent on BigQuery data modeling, automated validation, and legacy-system migration. Focus on designing scalable incremental transformations, establishing data quality frameworks, and creating shared data blueprints across decentralized product teams.

Location: Hamburg, Germany

Salary: €70,000–€85,000 gross yearly

Company

hirify.global is a European e-commerce company operating at the intersection of fashion and technology, with offices in Hamburg and Berlin.

What you will do

  • Design, build, and maintain production-grade analytical data transformations and metric definitions in Google BigQuery.
  • Develop automated data validation frameworks, schema checks, regression assertions, and data quality tests.
  • Migrate complex analytical transformation rules and aggregation queries from legacy application repositories into modular analytics environments.
  • Partner with Data Engineers to define clean data models around shared catalog assets such as products and brands.
  • Establish analytics engineering standards, code-reuse conventions, and reusable data blueprints.

Requirements

  • Expertise in modular, performance-optimized analytical data models and scalable incremental transformations.
  • Advanced SQL skills and extensive experience with cloud-based big data platforms, especially Google BigQuery.
  • Practical familiarity with workflow orchestrators such as Dagster and event-driven pipeline schedules.
  • Experience with data checks, regression validation assertions, and data quality testing.
  • Proficiency with Git, structured code reviews, and automated deployment infrastructure such as GitLab CI/CD pipelines.
  • Ability to communicate complex database schemas, transformation decisions, and analytical definitions to software developers.

Nice to have

  • Hands-on experience with dbt for version-controlled analytical modeling, validation schemas, and deployment workflows.
  • Experience in e-commerce, retail technology, or ad-tech, including web analytics tracking, funnel parameters, or advertising performance metrics.

Culture & Benefits

  • Flat hierarchies, direct communication, pragmatic decisions, and clear ownership.
  • Inclusive environment focused on acceptance and fair treatment.
  • Team lunches, afterwork drinks, company events, and informal collaboration opportunities.
  • Additional employee perks are provided through the company benefits program.

Hiring process

  • Apply online through the career page.
  • The recruiting team will follow up after reviewing the application.

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