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# Senior Analytics Engineer - Brand Analytics (all genders)

- **Company:** About You
- **Location:** Hamburg, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Big Data, Cloud Computing, Code Review, Data Validation, Data Transformation, Data Normalization, Digital Assets, Web Analytics, Delivery Pipeline, Data Build Tool (dbt), Gitlab-ci, Deployment Automation, Google Bigquery, Codebase, Software Version Control
- **Published:** October 9, 2026
- **Apply:** https://startup.jobs/senior-analytics-engineer-brand-analytics-all-genders-about-you-se-co-kg-10346455

## About the Role

* Expert in designing modular and performance-optimized analytical data models, and building scalable incremental transformations
 * Advanced SQL mastery and extensive native experience within cloud-based big data platforms (e.g. Google BigQuery)
 * Practical working familiarity with modern workflow orchestrators like Dagster to synchronize data assets and event-driven pipeline schedules
 * Extensive experience writing declarative data checks, regression validation assertions, and data quality tests to enforce strict metric definition compliance
 * Proficiency with Git version control, structured code review flows, and automated deployment infrastructure like GitLab CI/CD pipelines
 * A structural developer who excels at transforming loose business descriptions into highly structured, reliable, and standardized metrics environments
 * Able to cleanly convey complex database schemas, transformation choices, and analytical definitions to software developers
 * Highly driven to establish data blueprints within a technical greenfield context

Nice To Have:

 * Data Transformation Tooling: Practical, hands-on experience utilizing dbt (Data Build Tool) for managing version-controlled analytical modeling codebases, validation schemas, and deployment workflows
 * Domain Expertise: Prior experience working within an eCommerce, retail tech, or ad-tech ecosystem, with a solid understanding of web analytics tracking, funnel parameters, or ad performance metrics

## Description

The Brand Analytics team is the insights engine: its mission is to empower data-driven decision-making for Retail Media Partners by providing a single source of truth. This creates a powerful opportunity for brands to gain deep performance visibility and turn enterprise-scale data into actionable growth strategies.

While operating within an existing ecosystem, the architectural transition from a single monolith into four specialized product teams provides a highly autonomous, greenfield-like environment where your decisions will directly shape our future state and enable us to multiply our Retail Media revenue.

 * Design, build, and maintain production-grade analytical data transformations and metrics definitions within Google BigQuery to enable robust performance and budget reporting for our bidding marketplaces
 * Establish rigorous, automated data validation frameworks and schema checks to shield public-facing reporting dashboards and analytical tables from upstream variance or structural drift
 * Lead the migration of complex analytical transformation rules and data aggregation queries directly out of historical legacy application repositories into modular, decoupled analytics environments
 * Partner with Data Engineers to engineer clean data modeling boundaries around shared catalog assets (such as products and brands) that connect the decentralized product stack with core platform endpoints
 * Set analytics engineering standards, direct code-reuse conventions, and establish reusable data blueprints within the team