• You will develop and operate scalable data products as well as ETL and ELT pipelines for our commerce and customer domains.
• You model data from Checkout, Orders, Payments, Customer, Loyalty and Customer Service and make it available to product teams and analytics.
• You integrate data from different systems and event-based sources , including via Kafka.
• You will develop high-performance, traceable and reusable data models using our modern data stack.
• You ensure data quality, governance and data protection , especially when handling personal customer and payment data.
• You will work closely with Product Management, Software Engineering, Data and Business , and take responsibility for your data products from requirement to productive operation.
• You actively contribute to our Data Engineering Practice and further develop common standards and working methods.

This is what you bring with you

• Several years of experience in data engineering or a comparable role.
• Excellent knowledge of SQL and Python , as well as experience with ETL/ELT and data modeling.
• Experience with a modern data stack, ideally Snowflake, dbt and Prefect .
• Experience with Kafka or similar event and streaming technologies .
• Knowledge of AWS and ideally Infrastructure as Code with Pulumi or Terraform.
• A good understanding of data quality, data governance, and the handling of personal data .
• Experience in collaborating with cross-functional product or development teams.
• A self-reliant, structured and solution-oriented way of working.
• German at least B2 level and fluent English.

Nice to have

• Experience with e-commerce, checkout, order or payment data .
• Knowledge in the areas of Customer Data, CRM, Loyalty or Customer Service .
• Experience with data mesh and domain-oriented data products .