ABOUT YOU SE & Co. KG

Senior Analytics Engineer - Shop Analytics (all genders)

ABOUT YOU SE & Co. KG Hamburg, Germany · €70K–€85K/yr

Internet Marketplace Platforms · 1,001-5,000 employees

2 d ago
data-analyst Senior (5-10 yrs) Full-time Germany
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About the role

Design, build, and maintain scalable data pipelines and automated reporting solutions to support shop performance and retail media. Ensure high data quality and collaborate cross-functionally with product, tech, and retail media teams.

What they look for

SQL Data pipelines Dbt Data modeling Google BigQuery AWS Redshift Dagster Airflow GA4 Web analytics Data quality Revenue attribution Reporting Cloud platforms Communication Cross-functional collaboration

Requirements

Requires at least 5 years of experience with advanced SQL skills and data transformation tools like dbt. Candidates must possess strong data modeling expertise and proficiency with cloud-based big data platforms and orchestration tools.

Full description

Company Description

ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

Job Description

  • Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting
  • Design and build automated reporting solutions based on business stakeholder requirements
  • Enhance revenue attribution models and expand reporting capabilities for our advertising platform
  • Maintain ownership of data quality across our data assets
  • Work cross-functionally with product, tech, and retail media teams

Qualifications

  • You have at least 5 years of relevant experience   
  • Advanced SQL skills, including query optimization for big data environments
  • Experience with data transformation tools (e.g., dbt) in big data contexts
  • Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
  • Solid understanding of frontend tracking and web analytics implementation (e.g., GA4)
  • Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
  • Experience with optimization techniques (partitioning, clustering)
  • Strong ability to work independently and drive projects forward
  • Excellent communication skills for collaborating with diverse stakeholders
  • Problem-solving approach with attention to detail
  • Ability to translate business requirements into technical solutions
  • Collaborative mindset, with experience working in cross-functional teams

Nice To Have 

  • In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
  • Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
  • Practical experience with containerization technologies (e.g., Docker)

Additional Information

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You

We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.

Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.

What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.

  • Compensation: EUR 70000 - EUR 85000 - yearly

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