Senior Data Engineer - Shop Analytics (all genders)
This role focuses on architecting high-performance data pipelines and reporting systems for retail media analytics, emphasizing event-driven data modeling and cross-team collaboration to enhance attribution and revenue insights. The candidate will own end-to-end data quality while bridging technical and business needs in a fast-growing advertising platform.
Skills required
About this role
- 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
Qualifications
- 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
- 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)
Additional Information
Your perks at a glance: Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
Similar open roles
