Senior Analytics Engineer – Brand Analytics

Role Overview

The Brand Analytics team is the insights engine, empowering data-driven decision-making for Retail Media Partners by providing a single source of truth. The team is responsible for designing, building, and maintaining production-grade analytical data transformations and metrics definitions within Google BigQuery.

What You Will Do

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.

Why It Might Be a Fit

The role requires expertise in designing modular and performance-optimized analytical data models, building scalable incremental transformations, and establishing data blueprints within the team. The ideal candidate is a structural developer who excels at transforming loose business descriptions into highly structured, reliable, and standardized metrics environments.

Requirements

• Expert in designing modular and performance-optimized analytical data models
• 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
• Extensive experience writing declarative data checks, regression validation assertions, and data quality tests
• Proficiency with Git version control, structured code review flows, and automated deployment infrastructure like GitLab CI/CD pipelines

Benefits

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