8 дней назад
Senior Analytics Engineer (eCommerce)
70 000 - 85 000€
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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