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As a Tracking Engineer, you will design and operate a privacy-first tracking infrastructure that fuels Eventim’s data-driven marketing and analytics. You’ll build scalable client- and server-side tagging systems across web and app platforms, ensuring accurate, compliant, and high-quality data flows that power Europe’s leading live entertainment platform. Working closely with Marketing, Product, Privacy, and Engineering, you’ll enable smarter measurement and performance optimization at scale.

Key Responsibilities:

  • Design and lead the architecture of client- and server-side tracking across Web and App environments.
  • Implement and maintain a robust Google Tag Manager (GTM) setup, including reusable templates, scalable DataLayer structures, and technical documentation.
  • Build and optimize server-side tracking infrastructure in Google Cloud (Cloud Run, GTM Server, routing layer) to enhance privacy, performance, and reliability.
  • Develop and integrate vendor connectors (Meta, Google, TikTok, etc.) and consent logic for consistent, compliant event processing.
  • Enable cross-functional teams by creating self-service tools, documentation, and QA processes for accurate, compliant tracking.
  • Ensure data quality and observability across all tracking pipelines through testing, monitoring, and CI/CD automation (Terraform, GitHub Actions).
  • Collaborate and align with stakeholders to translate business and privacy requirements into reliable, scalable technical solutions.
  • Continuously improve tracking efficiency, cost optimization, and adherence to evolving privacy regulations (e.g., Consent Mode updates, TCF 2.2).

Key Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical field.
  • 5+ years of experience in digital analytics or marketing data engineering.
  • Expert knowledge of Google Tag Manager (Web & Firebase/App), GA4, and DataLayer structuring.
  • Advanced skills in Server-Side GTM, tracking APIs (Meta CAPI, GA4 MPv2), and consent integrations. 
  • Strong hands-on experience with Google Cloud Platform (Cloud Run, Load Balancer, IAM, cost control).
  • Proficient in Python and JavaScript, including debugging and browser DevTools.
  • Experience with Terraform, GitHub Actions, and observability frameworks.
  • Familiarity with privacy and consent frameworks (CMP, TCF 2.2, Consent Mode).
  • Experience in collaborating with cross-functional teams (Product, Engineering, Marketing, Privacy).