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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.
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Data Engineer – Tracking and Behavioral Data (Remote, Germany)

Join INTERSPORT’s e-commerce digital unit as a Data Engineer focused on tracking and behavioral data. Build event infrastructure, data pipelines, and foundations for analytics, personalization, and A/B testing.

DEGermanyRemoteFull-timeMiddleSeniorGerman RequiredEnglish RequiredData Engineer
AWSETLKafkaPythonSQLTerraform

Description

  • Own the design, implementation, and operation of web and product data tracking, including Google Tag Manager.
  • Create event schemas and maintain tracking plans.
  • Maintain consistent capture of relevant customer journey signals.
  • Bring clickstream and behavioral data from search, navigation, recommendations, product pages, and conversion flows into the data platform.
  • Build and operate scalable ETL and ELT pipelines alongside reusable data products.
  • Establish the data foundation supporting A/B testing, personalization, and recommendation systems.
  • Use Kafka and event-driven data sources while connecting diverse systems to the platform.
  • Protect the quality, consent handling, governance, and privacy of behavioral data.
  • Partner closely with Product Management, Engineering, UX, Analytics, and Online Marketing.
  • Help advance the Data Engineering practice, shared standards, and team working methods.

Requirements

  • Several years of experience in Data Engineering or a comparable technical data role.
  • Advanced SQL and Python skills.
  • Practical experience with ETL/ELT processes and data modeling.
  • Strong background in web and product tracking, especially event tracking and clickstream data.
  • Strong Google Tag Manager expertise; server-side tagging experience is advantageous.
  • Experience with a modern data stack, ideally including Snowflake, dbt, and Prefect.
  • Experience with Kafka or comparable event-streaming technologies.
  • Knowledge of AWS; Pulumi or Terraform experience for Infrastructure as Code is advantageous.
  • Understanding of consent management, GDPR, data quality, and data governance.
  • A self-directed, organized, and solution-focused working style.
  • German proficiency at least at B2 level and strong English skills.
  • Experience with GA4, server-side tracking, or a Customer Data Platform is advantageous.
  • Knowledge of A/B testing and conversion rate optimization is advantageous.
  • Experience working with personalization or recommendation data is advantageous.
  • Knowledge of search or discovery platforms such as Algolia, or experience in e-commerce, marketplace, or platform environments, is advantageous.
  • benefits

Benefits

  • Choose flexible working hours.
  • Work remotely and through mobile working arrangements.
  • Access professional development opportunities.
  • Receive employee discounts.
  • Receive additional benefits.

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