CareerPlan

Senior Analytics Engineer - Brand Analytics (all genders)

Hamburg, HH, deFull-time2026-10-08 → 2026-11-14

Core

Design, build, and maintain production-ready analytical data transformations and metric definitions in Google BigQuery to enable robust performance and budget reporting for bidding marketplaces.

Role type

Senior Analytics Engineer

Builds

Production data models, metric definitions, and reporting dashboards for Retail-Media partners

Domain

Retail Media / Ad-Tech / E-Commerce

Deliverable

production ML models | product features

Required skills

Advanced SQL, Google BigQuery, Dagster, Data validation frameworks, Git, CI/CD pipelines, Data modeling, Metric definition

Preferred skills

dbt, E-Commerce/Retail-Tech domain expertise, Web analytics tracking, Funnel parameters, Ad-performance metrics

Technologies

Google BigQuery, Dagster, Git, GitLab CI/CD, dbt

Responsibilities

Design modular and performance-optimized analytical data models; Establish automated data validation frameworks; Lead migration of complex transformation rules from legacy archives; Collaborate with Data Engineers on data modeling boundaries; Define Analytics Engineering standards and reusable data blueprints