Senior Data Engineer - Shop Analytics (all genders)

• 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

• 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)

70000 - 85000 EUR