Analytics Engineer - Shop Analytics
Berlin, BE, Germany
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain scalable data pipelines for shop and retail media reporting
Build automated reporting solutions from business stakeholder requirements
Enhance revenue attribution models and reporting for the advertising platform
Own data quality across key data assets
Work cross-functionally with product, tech, and retail media teams
From the employer’s posting
Design, build, and maintain robust and scalable data pipelines
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
What you’ll bring
All qualificationsCore experience
- At least 3 years of relevant experience
- Advanced SQL, including query optimization for big data
- Experience with dbt or similar transformation tools in big data settings
- Data modeling for high-volume event and tracking data
- Orchestration tools (Dagster, Airflow) and cloud big data platforms (BigQuery, Redshift)
Qualification wording
You have at least 3 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
Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
Tools in this posting
- SQL
- AWS
- BigQuery
- dbt
- Docker
- Redshift
- Terraform
- Airflow
- Dagster
Source — Tool mentions in context
- You have at least 3 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
- 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)
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)
- 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
- 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
- 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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 11
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Oct 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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 3 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.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin, BE, Germany
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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