Data Engineer – Tracking & Behavioral Data

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

📋 Description

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

• Establish event schemas and tracking strategies while ensuring the consistent gathering of significant customer journey indicators.

• 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.

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

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

• Ensure the quality of data, manage consent, uphold governance standards, and protect behavioral data.

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

• Advance the Data Engineering practice through shared standards and methodologies.

• Contribute to the Unified Commerce Platform that bridges online and offline channels.

⛳️ Requirements

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

• Strong proficiency in SQL and Python, along with experience in ETL/ELT processes and data modeling.

• Extensive background in web and product tracking, especially in event tracking and clickstream data.

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

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

• Experience with Kafka or similar event and streaming technologies.

• Knowledge of AWS and, ideally, experience with Infrastructure as Code using Pulumi or Terraform.

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

• Independent, organized, and solution-focused work approach.

• Proficiency in German at least at B2 level and fluent in English.

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

• Nice to have: Familiarity with A/B testing and Conversion Rate Optimization (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.

• Options for remote work.

• Opportunities for professional development.

• Employee discounts.

• Additional benefits.