I
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.

Mid-Senior Data Engineer - Commerce and Customer Data, Remote in Germany

Build and operate scalable commerce and customer data products for INTERSPORT’s e-commerce business. Develop ETL/ELT pipelines that support analytics, product development, and AI applications.

Description

  • Build and operate scalable data products and ETL/ELT pipelines for commerce and customer data.
  • Design data models for checkout, orders, payments, customer, loyalty, and customer service systems.
  • Deliver trusted data to product teams and analytics users.
  • Connect data from diverse systems and event-driven sources, including Kafka.
  • Create high-performance, transparent, reusable data models with the modern data stack.
  • Maintain data quality, governance, and privacy for customer and payment information.
  • Partner with Product Management, Software Engineering, Data, and Business teams.
  • Take ownership of data products from requirements definition through production operations.
  • Help advance the Data Engineering practice, shared standards, and working methods.

Requirements

  • Several years of experience in data engineering or a comparable position.
  • Advanced proficiency in SQL and Python.
  • Practical experience with ETL/ELT processes and data modeling.
  • Experience using a modern data stack, ideally including Snowflake, dbt, and Prefect.
  • Hands-on experience with Kafka or comparable event-streaming technologies.
  • Working knowledge of AWS.
  • Infrastructure as Code experience with Pulumi or Terraform is desirable.
  • Sound understanding of data quality, governance, and personal-data handling.
  • Experience working with cross-functional product or development teams.
  • An independent, organized, and solution-focused working style.
  • German proficiency at B2 level or higher and confident English skills.
  • Experience with e-commerce, checkout, order, or payment data is advantageous.
  • Knowledge of customer data, CRM, loyalty, or customer service is advantageous.
  • Experience with Data Mesh and domain-oriented data products is advantageous.
  • Familiarity with BI tools such as Looker, Metabase, or Power BI is advantageous.
  • Experience creating data pipelines for AI or machine learning applications is advantageous.

Benefits

  • Flexible working hours.
  • Remote and mobile working options.
  • Opportunities for professional development.
  • Employee discounts.
  • Additional benefits.

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