Senior Data Engineer – Shop Analytics

Role Overview

Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting. Work cross-functionally with product, tech, and retail media teams.

What You Will Do

Design and build automated reporting solutions based on business stakeholder requirements. Enhance revenue attribution models and expand reporting capabilities for our advertising platform.

Why It Might Be a Fit

You have at least 5 years of relevant experience. Advanced SQL skills, including query optimization for big data environments. Experience with data transformation tools (e.g., dbt) in big data contexts.

Requirements

• at least 5 years of relevant experience
• Advanced SQL skills, including query optimization for big data environments
• Experience with data transformation tools (e.g., dbt) in big data contexts
• Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
• Solid understanding of frontend tracking and web analytics implementation (e.g., GA4)
• Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
• Experience with optimization techniques (partitioning, clustering)
• Strong ability to work independently and drive projects forward
• Excellent communication skills for collaborating with diverse stakeholders
• Problem-solving approach with attention to detail
• Ability to translate business requirements into technical solutions
• Collaborative mindset, with experience working in cross-functional teams