Senior Analytics Engineer - Brand Analytics (all genders)

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

• 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

70000 - 85000 EUR