# Analytics Engineer (m/f/d) - Shop Analytics - onsite in Hamburg or Berlin at ABOUT YOU SE & Co. KG

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> Responsibilities: - Design, build and maintain robust, scala

- **Company:** ABOUT YOU SE & Co. KG (https://jobs.trythestack.co/companies/about-you-se-co-kg)
- **Location:** Hamburg, Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Data pipelines, Data modeling, dbt, BigQuery, Google Analytics 4, Dagster, Airflow, AWS Redshift, Data quality, Revenue attribution, Retail media, CI/CD, Terraform, Docker, Communication
- **Posted by employer:** 2026-04-02
- **Added to The Stack:** 2026-04-03
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.smartrecruiters.com/ABOUTYOUGmbH/744000118357067-analytics-engineer-m-f-d-shop-analytics-onsite-in-hamburg-or-berlin (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/analytics-engineer-mfd-shop-analytics-onsite-in-hamburg-or-berlin-about-you-se-co-kg

## About the role

Responsibilities:
- Design, build and maintain robust, scalable data pipelines for shop performance and retail media reporting
- Create and maintain data models (dbt or similar) for event/tracking and revenue attribution use cases
- Implement automated reporting and dashboards that meet stakeholder requirements
- Ensure data quality, validation and observability across analytics assets
- Optimize queries and data layouts for cost and performance (partitioning, clustering)
- Collaborate with product, tech and retail media teams to translate business needs into technical solutions
- Support CI/CD, infrastructure-as-code and containerized workflows where needed

Requirements:
- 3+ years experience in analytics or data engineering
- Advanced SQL skills and experience optimizing queries for big data platforms
- Hands-on experience with transformation tools (dbt) and data modeling for high-volume event data
- Familiarity with frontend tracking and web analytics (GA4) and revenue attribution concepts
- Experience with orchestration tools (Dagster, Airflow) and cloud warehouses (BigQuery, Redshift)
- Strong communication skills and ability to work independently in cross-functional teams
- Attention to data quality, testing and documentation
- Nice to have: experience with CI/CD (GitLab CI), Terraform, Docker and advanced BigQuery cost optimization techniques

## Responsibilities

You will design, build, and maintain scalable data pipelines and automated reporting solutions for shop performance and retail media. Additionally, you will enhance revenue attribution models and ensure high data quality across all analytics assets.

## Requirements

The role requires at least 3 years of experience with advanced SQL skills and expertise in data modeling and transformation tools like dbt. Candidates should also possess proficiency in cloud-based big data platforms and data orchestration tools.

## FAQ

- **Is this Analytics Engineer (m/f/d) - Shop Analytics - onsite in Hamburg or Berlin role still open?** It was posted on 2026-04-02. Listings more than 30 days old may no longer be active, so check ABOUT YOU SE & Co. KG's site before applying.
- **Does ABOUT YOU SE & Co. KG offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on ABOUT YOU SE & Co. KG's site.
- **Where is this role located?** The listing gives the location as Hamburg, Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Data pipelines, Data modeling, dbt, BigQuery, Google Analytics 4, Dagster, Airflow, AWS Redshift, Data quality, Revenue attribution, Retail media, CI/CD, Terraform, Docker, Communication.

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## Notes for agents

- Apply on the employer's page (https://jobs.smartrecruiters.com/ABOUTYOUGmbH/744000118357067-analytics-engineer-m-f-d-shop-analytics-onsite-in-hamburg-or-berlin). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "analytics-engineer-mfd-shop-analytics-onsite-in-hamburg-or-berlin-about-you-se-co-kg": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Analytics Engineer (m/f/d) - Shop Analytics - onsite in Hamburg or Berlin at ABOUT YOU SE & Co. KG, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/analytics-engineer-mfd-shop-analytics-onsite-in-hamburg-or-berlin-about-you-se-co-kg)".
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