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INTERSPORT Deutschland eG
11 – 50 Employees
HospitalityRetailTravel
INTERSPORT Deutschland eG is a German sporting-goods cooperative with an events and hospitality operation centered on redblue, a multifunctional venue in Heilbronn-Franken. The team provides adaptable spaces and end-to-end support for corporate gatherings, trade fairs, conferences, concerts, cultural programs, and other public or private events, including booking coordination, hospitality, and visitor services.

Data Engineer, Product Pricing and Inventory Data (Remote Germany)

Build and operate scalable product, pricing, and inventory data products for INTERSPORT’s e-commerce platform. Improve data quality, integration, governance, and availability for digital products and analytics.

Description

  • Build and run scalable data products and ETL/ELT pipelines for product, pricing, and inventory data
  • Connect PIM systems, marketplaces, external content providers, and operational systems to the Data Platform
  • Design data models for products, attributes, assortments, prices, and inventory
  • Provide clear visibility into data quality, completeness, timeliness, and availability
  • Implement data quality checks and monitoring capabilities
  • Deliver dependable data products supporting discovery, checkout, and fulfillment
  • Connect event-driven data sources, including Kafka
  • Maintain data governance, traceability, and consistent data standards
  • Partner with Product Management, Engineering, Category, Content, and Pricing teams
  • Own data products from business requirements through production operations
  • Help advance the Data Engineering Practice, shared standards, and working methods

Requirements

  • Several years of professional experience in Data Engineering or a comparable position
  • Advanced SQL and Python skills
  • Practical experience with ETL/ELT processes and data modeling
  • Experience using a modern data stack, preferably Snowflake, dbt, and Prefect
  • Experience with Kafka or similar event-driven and streaming technologies
  • Knowledge of AWS
  • Experience with Infrastructure as Code using Pulumi or Terraform is advantageous
  • Strong grasp of data quality, data governance, and processing large, heterogeneous datasets
  • Experience working with cross-functional product or engineering teams
  • Independent, organized, and solution-focused approach to work
  • German language proficiency at B2 level or higher
  • Strong command of English
  • Product data, PIM systems, or classification standards experience is a plus
  • Knowledge of pricing, inventory, or availability data is a plus
  • Experience with data quality monitoring, data observability, or data mesh is a plus
  • Experience with market, competitor, or pricing data is a plus
  • Knowledge of Looker, Metabase, Power BI, or similar BI tools is a plus
  • Experience in e-commerce, marketplace, or retail environments is a plus

Benefits

  • Flexible scheduling
  • Options for remote work
  • Opportunities for professional growth
  • Employee discounts
  • Additional employee benefits
  • Modern data stack built around Snowflake, dbt, Prefect, Kafka, AWS, and Pulumi
  • Meaningful influence on the quality, timeliness, and availability of core product, pricing, and inventory data
  • Close partnership with Product, Engineering, and business teams across assortment, content, and pricing
  • Collaborative Data Engineering Practice focused on knowledge sharing and well-defined standards

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