Data Engineer – Tracking & Behavioral Data
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Job Description
Data Engineer für Tracking und Verhaltensdaten bei INTERSPORTs E-Commerce-Digitalunit. Aufbau von Event-Infrastruktur, Datenpipelines und Datengrundlagen für Analytics, Personalisierung und A/B-Tests.
Responsibilities:
- Design, implement, and operate the tracking setup for web and product data, including Google Tag Manager
- Define event schemas and tracking plans
- Ensure the consistent collection of relevant customer journey signals
- Integrate clickstream and behavioral data from search, navigation, recommendations, product pages, and conversion processes into the data platform
- Develop and operate scalable ETL and ELT pipelines, as well as reusable data products
- Build the data foundation for A/B testing, personalization, and recommendation systems
- Work with Kafka and event-based data sources, and integrate different systems into the platform
- Ensure data quality, consent management, governance, and data protection for behavioral data
- Collaborate closely with Product Management, Engineering, UX, Analytics, and Online Marketing
- 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 technical data role
- Excellent knowledge of SQL and Python
- Experience with ETL/ELT and data modeling
- Solid experience with web and product tracking, particularly event tracking and clickstream data
- Excellent knowledge of Google Tag Manager; server-side tagging experience is a plus
- Experience with a modern data stack, ideally Snowflake, dbt, and Prefect
- Experience with Kafka or comparable event and streaming technologies
- Knowledge of AWS; Infrastructure as Code experience with Pulumi or Terraform is a plus
- Understanding of consent management, GDPR, data quality, and data governance
- Independent, structured, and solution-oriented approach to work
- German at least at B2 level and strong English skills
- Nice to have: Experience with GA4, server-side tracking, or a Customer Data Platform
- Nice to have: Knowledge of A/B testing and CRO
- Nice to have: Experience with personalization or recommendation data
- Nice to have: Knowledge of search or discovery systems such as Algolia
- Nice to have: Experience in e-commerce, marketplace, or platform environments
Benefits:
- Flexible working hours
- Remote and mobile working options
- Professional development opportunities
- Employee discounts
- Additional benefits
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