Analytics Engineer - Shop Analytics (all genders)

About our Product & Tech Department

Our mission is to digitize the classic shopping stroll, turning it into a personalized, inspiring experience for every customer. Technology and data sit at the center of everything we build. We are not a fashion company with a tech team on the side. Tech drives our product, our strategy, and our growth.
Our proprietary tech stack powers our own shops and SCAYLE, our commerce infrastructure solution that serves over 350 brands globally. Same foundation, bigger stage. The challenges keep things interesting.

What To Expect

• Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting
• Design and build automated reporting solutions based on business stakeholder requirements
• Enhance revenue attribution models and expand reporting capabilities for our advertising platform
• Maintain ownership of data quality across our data assets
• Work cross-functionally with product, tech, and retail media teams

Who You Are

• You have at least 3 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

Nice to have

• In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
• Practical experience with containerization technologies (e.g., Docker)

Salary range

60k - 70k €