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).