Your tasks

You will develop and operate scalable data products as well as ETL and ELT pipelines for our fulfillment and logistics processes.
You integrate data from order management, marketplaces, shipping service providers and tracking systems to create a seamless view of orders and deliveries.
You model data related to shipping, delivery, returns, refunds, and partner performance .
You create the data foundation for SLA monitoring, performance analyses and dashboards for internal teams and our partners.
You provide fulfillment and tracking data for other product areas and digital services such as customer service .
You integrate event-based data sources and work with tools such as Kafka .
You ensure data quality, governance and data protection , and continuously develop monitoring and quality checks.
You will work closely with Product Management, Engineering and Operations , and take responsibility for your data products from the initial business need 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 the integration of operational or transactional systems and APIs .
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 and data governance .
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.

Responsibilities

You will develop and operate scalable data products as well as ETL and ELT pipelines for our fulfillment and logistics processes.
You integrate data from order management, marketplaces, shipping service providers and tracking systems to create a seamless view of orders and deliveries.
You model data related to shipping, delivery, returns, refunds, and partner performance .
You create the data foundation for SLA monitoring, performance analyses and dashboards for internal teams and our partners.
You provide fulfillment and tracking data for other product areas and digital services such as customer service .
You integrate event-based data sources and work with tools such as Kafka .
You ensure data quality, governance and data protection , and continuously develop monitoring and quality checks.
You will work closely with Product Management, Engineering and Operations , and take responsibility for your data products from the initial business need to productive operation.
You actively contribute to our Data Engineering Practice and further develop common standards and working methods.

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 the integration of operational or transactional systems and APIs .
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 and data governance .
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.