Data Engineer – Tracking & Behavioral Data

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design, implement, and manage the tracking setup for web and product data, including Google Tag Manager.

• Define event schemas and tracking strategies.

• Ensure consistent collection of pertinent customer journey signals.

• Integrate clickstream and behavioral data from search, navigation, recommendations, product pages, and conversion processes into the data platform.

• Develop and maintain scalable ETL and ELT pipelines, along with reusable data products.

• Establish the data foundation for A/B testing, personalization, and recommendation systems.

• Work with Kafka and event-based data sources, integrating various systems into the platform.

• Ensure the quality of data, consent management, governance, and protection of behavioral data.

• Collaborate closely with Product Management, Engineering, UX, Analytics, and Online Marketing teams.

• Contribute to the Data Engineering practice and help evolve shared standards and workflows.

⛳️ Requirements

• Several years of experience in Data Engineering or a similar technical data position.

• Strong proficiency in SQL and Python.

• Experience with ETL/ELT processes and data modeling.

• Solid background in web and product tracking, particularly in event tracking and clickstream data.

• Extensive knowledge of Google Tag Manager; experience with server-side tagging is an advantage.

• Familiarity with a modern data stack, preferably including Snowflake, dbt, and Prefect.

• Experience with Kafka or similar event and streaming technologies.

• Knowledge of AWS; experience with Infrastructure as Code using Pulumi or Terraform is beneficial.

• Understanding of consent management, GDPR compliance, data quality, and governance practices.

• Independent, structured, and solution-oriented work approach.

• Proficient in German at least at B2 level and strong English language skills.

• Nice to have: Experience with GA4, server-side tracking, or a Customer Data Platform.

• Nice to have: Understanding of A/B testing and conversion rate optimization.

• Nice to have: Experience with personalization or recommendation data.

• Nice to have: Familiarity with search or discovery systems like Algolia.

• Nice to have: Experience in e-commerce, marketplace, or platform environments.

🏝️ Benefits

• Flexible working hours.

• Options for remote and mobile work.

• Opportunities for professional development.

• Employee discounts.

• Additional benefits.