Data Engineer – Product, Pricing & Inventory Data
Posted 1hrs ago
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Job Description
Data Engineer building scalable product, pricing, and inventory data products for INTERSPORT’s e-commerce platform. Ensuring data quality, integration, governance, and availability for digital products and analytics.
Responsibilities:
- Develop and operate scalable data products and ETL/ELT pipelines for product, pricing, and inventory data
- Integrate data from PIM systems, marketplaces, external content sources, and other operational systems into the Data Platform
- Model and structure data related to products, attributes, assortments, prices, and inventory
- Create transparency into data quality, completeness, timeliness, and availability
- Develop quality checks and monitoring solutions
- Reliably provide data products for discovery, checkout, and fulfillment
- Integrate event-based data sources, including Kafka
- Ensure data governance, traceability, and consistent data standards
- Work closely with Product Management, Engineering, Category, Content, and Pricing
- Take ownership of data products from business requirements through production operations
- Actively contribute to the Data Engineering Practice and further develop shared standards and ways of working
Requirements:
- Several years of experience in Data Engineering or a comparable role
- Very strong knowledge of SQL and Python
- Experience with ETL/ELT and data modeling
- Experience with a modern data stack, ideally Snowflake, dbt, and Prefect
- Experience with Kafka or comparable event-driven and streaming technologies
- Knowledge of AWS
- Ideally, experience with Infrastructure as Code using Pulumi or Terraform
- Strong understanding of data quality, data governance, and processing large, heterogeneous datasets
- Experience collaborating with cross-functional product or engineering teams
- Independent, structured, and solution-oriented working style
- German at least at B2 level
- Confident command of English
- Nice to have: Experience with product data, PIM systems, or classification standards
- Nice to have: Knowledge of pricing, inventory, or availability data
- Nice to have: Experience with data quality monitoring, data observability, or data mesh
- Nice to have: Experience with market, competitor, or pricing data
- Nice to have: Knowledge of BI tools such as Looker, Metabase, or Power BI
- Nice to have: Experience in e-commerce, marketplace, or retail environments
Benefits:
- Flexible working hours
- Remote work options
- Professional development opportunities
- Employee discounts
- Additional benefits
- Modern data stack featuring Snowflake, dbt, Prefect, Kafka, AWS, and Pulumi
- Direct impact on the quality, timeliness, and availability of key product, pricing, and inventory data
- Close collaboration with Product, Engineering, and business teams across assortment, content, and pricing
- Collaborative Data Engineering Practice with knowledge sharing and clear standards

















