Data Engineer – Tracking & Behavioral Data

INTERSPORT Deutschland eG

. Design, implement, and operate tracking setups for web and product data, including with Google Tag Manager .

Posted 10/27/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a strong focus on SQL, Python, and ETL/ELT processes. Proficient in web and product tracking, data governance, and integration of event-based data sources to support analytics and personalization initiatives.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProficiencyGoogle Tag Manager KnowledgeExperience with Kafka

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLELTData ModelingEvent TrackingClickstream DataData GovernanceConsent ManagementA/B Testing

Soft Skills

Independent ApproachStructured Work StyleSolution-Oriented Mindset

Tools & Technologies

Google Tag ManagerSnowflakeDbtPrefectKafkaAWSPulumiTerraformGA4Algolia

Industry Keywords

E-CommerceMarketplacePlatform EnvironmentsGDPRData Quality

Tech Stack

Tools & technologies

AWSETLKafkaPythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact

Design, implement, and operate tracking setups for web and product data, including with 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
Create 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
Work closely with Product Management, Engineering, UX, Analytics, and Online Marketing
Further develop the Data Engineering practice through shared standards and ways of working
Contribute to the Unified Commerce Platform, which connects online and offline channels

Requirements

What you’ll need

Several years of experience in Data Engineering or a comparable technical data role
Very good knowledge of SQL and Python, as well as experience with ETL/ELT and data modeling
Extensive experience with web and product tracking, particularly event tracking and clickstream data
Very good knowledge of Google Tag Manager; experience with server-side tagging 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 and, ideally, Infrastructure as Code with Pulumi or Terraform
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 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

Comp & perks

Flexible working hours
Remote work options
Professional development opportunities
Employee discounts
Additional benefits