Data Product Engineer

We are shaping the future of data management in food retail with Data Mesh. As a Data Product Engineer you build scalable, high-performance, high-quality data products as a basis for AI applications, dashboards and operational decisions, in a GCP-based data landscape using Snowflake, Kafka, dbt and Terraform. Full-time/part-time, permanent.

• Further develop modular data products on GCP, using Snowflake, Kafka, dbt and SQL among others
• Establish best practices for data contracts and work with standards such as ODPS/ODCS
• Develop robust transformation logic with dbt, Snowpark, Python and SQL, ensure code quality (Git, CI/CD) and implement infrastructure as code with Terraform
• Define and monitor data quality metrics (SLOs, SLIs), ensure automated lineage tracking, maintain metadata in the data catalog and implement access concepts and GDPR-compliant developments
• Work closely with domain managers, data product owners, architects and platform teams and translate business requirements into technical designs and data models

• Clear communication and structured way of working, enthusiasm for interdisciplinary collaboration, proactive, solution-oriented hands-on mindset
• Experience building modern data pipelines and data products
• Interest in digging deep into business questions, and the ability to analyze complex matters precisely
• Very good knowledge of SQL, Python, dbt and Snowflake; experience with Spark or Snowpark is an extra plus
• Confident use of Git, CI/CD, Terraform and cloud technologies (GCP)
• Understanding of modern engineering standards and data architectures
• Confident communication in German and English