Data Engineer – Tracking & Behavioral Data

Job not on LinkedIn

🔥 12 hours ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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INTERSPORT Deutschland eG

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏨 Hospitality

✈️ Travel

🛒 Retail

Hospitality • Travel • Retail

INTERSPORT Deutschland eG is a German sporting-goods cooperative that operates the redblue multifunctional event location in Heilbronn-Franken. The organization provides modern, flexible event spaces and full-service event support for corporate events, trade fairs, conferences, concerts and cultural programs, and handles bookings, hospitality and visitor services for a wide range of public and private events.

📋 Description

• Design, implement, and operate the tracking setup for web and product data, including Google Tag Manager. • Define event schemas and tracking plans, and 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 various 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 help 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, along with experience in ETL/ELT and data modeling. • Strong experience with web and product tracking, particularly event tracking and clickstream data. • Excellent knowledge of Google Tag Manager; experience with server-side tagging is a plus. • Experience with a modern data stack, ideally including Snowflake, dbt, and Prefect. • Experience with Kafka or comparable event and streaming technologies. • Knowledge of AWS; ideally, experience with Infrastructure as Code using Pulumi or Terraform. • Understanding of consent management, GDPR, data quality, and data governance. • An independent, structured, and solution-oriented approach to work. • German proficiency at least at B2 level and fluent English. • 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 work options • Professional development opportunities • Employee discounts • Additional benefits