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Senior Data Engineer - Shop Analytics (all genders)

Hamburg oder Berlin, HH, de💼 Full-time🗓 2026-08-28 → 2026-09-26

Core

Design, build, and maintain robust, scalable data pipelines to enable comprehensive shop performance analysis and reporting for retail media partners.

Role type

Senior Data Engineer (Shop Analytics)

Builds

Automated reporting solutions, revenue attribution models, and advertising platform reporting functionalities.

Domain

E-commerce / Retail Media / Web Analytics

Deliverable

production ML models | dashboards & analysis

Required skills

SQL (query optimization in Big Data), Data Transformation (dbt), Data Modeling (high-volume event/tracking), Frontend Tracking (GA4), Data Orchestration (Dagster, Airflow), Cloud Big Data platforms (Google BigQuery, AWS Redshift), Partitioning and Clustering techniques.

Preferred skills

Google BigQuery cost optimization, CI/CD pipelines, Infrastructure-as-Code (Terraform), Container technologies (Docker).

Responsibilities

Conceive and maintain scalable data pipelines for shop performance analysis; Develop automated reporting solutions based on business stakeholder requirements; Extend revenue attribution models and reporting functionalities for the advertising platform; Ensure data quality across all relevant data assets.

Seniority

Senior, hands-on IC

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