Analytics Engineer - Shop Analytics (all genders)

Aboutyougmbh; Berlin; On-site; EUR 65,000 - 95,000; Full time

Job summary

Aboutyougmbh is seeking a data engineer to design, build and maintain scalable data pipelines for shop performance and retail media partner reporting.

You will develop automated reporting solutions based on stakeholder needs, enhance attribution models for the advertising platform, and maintain data quality across assets while collaborating with product, tech, and retail media teams.

Qualifications

• 3+ years of relevant data engineering experience.
• Strong SQL skills with optimization for big data.
• Experience with data transformation tools like dbt.

Responsibilities

• Design, build, and maintain robust data pipelines for performance reporting.
• Develop automated reporting solutions from stakeholder requirements.
• Enhance revenue attribution models for advertising platforms.
• Own data quality across data assets.
• Collaborate cross-functionally with product, tech, and retail media teams.

Skills

SQL

Data modeling

Partitioning & clustering

GA4 analytics

Independent worker

Problem solving

Business requirement translation

Cross functional collaboration

Tools

dbt

Dagster

Airflow

BigQuery

Redshift

Docker

GitLab CI/CD

Terraform

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.

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).

Your perks at a glance: Visit our benefits page .

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.