CTS EVENTIM connects millions of people worldwide with unforgettable live experiences.
You will be joining our Data Engineering team, which builds and evolves the data platform powering analytics, business intelligence, product insights and operational decision-making across the organization.
In this role, you will take ownership of our data modelling layer within a modern cloud data platform. You will design scalable, resilient and auditable data models, drive modelling standards and shape the evolution of our data architecture using Data Vault 2.0, dbt, BigQuery and Cloud Composer / Airflow.
What to expect:
- Own the design and architecture of scalable data models using Data Vault 2.0, including Hubs, Links and Satellites, while defining and enforcing modelling standards, conventions and best practices.
- Transform raw data into structured, integrated and high-quality datasets that create value across the organization, embedding data quality, lineage, auditability and governance into all models.
- Design scalable, modular dbt frameworks and optimize BigQuery pipelines and storage for performance, cost, scalability and maintainability.
- Architect and oversee orchestration workflows with Cloud Composer / Airflow, while driving testing strategies, CI/CD practices, code quality and technical design reviews.
- Partner with analytics, data engineering and business stakeholders to translate requirements into robust data models, mentor engineers and resolve performance or scalability challenges.
What you’ll need:
- Extensive experience in data modelling with demonstrable expertise in Data Vault 2.0, combined with strong hands-on experience using dbt in production environments.
- Advanced proficiency in cloud data warehouses, ideally BigQuery, including query optimization, partitioning, clustering and cost management.
- Expert-level SQL skills and experience with large-scale, complex datasets, plus a strong understanding of modern data architectures such as Bronze / Silver / Gold and lakehouse patterns.
- Experience designing scalable and maintainable data platforms on hyperscalers such as GCP, AWS or Azure, supported by strong software engineering practices including version control, testing and CI/CD.
- Strong communication and stakeholder management skills, with the ability to influence technical standards across teams and apply automation or AI-assisted practices in data engineering where useful.
Benefits
- 30 days of paid vacation plus the option of up to 15 days of unpaid leave
- 25 days of workation within the EU
- Flexible working hours
- Sofa Concerts and employee events
- Discounts on ticket purchases & opportunities for clearing assignments
- Corporate benefits and discounts at KESS
- Central location & subsidy for a Job Ticket or Germany Ticket
- Bike leasing
- Mental health program & company pension scheme
- “GoFluent” language learning platform as well as Lunch & Learn sessions
We value diversity and treat all applications equally – regardless of gender, background, age, religion, disability, or sexual orientation. Different perspectives enrich our team and make EVENTIM stronger.
Skills Required
- Extensive data modeling experience with demonstrable expertise in Data Vault 2.0
- Strong hands-on experience using dbt in production environments
- Advanced proficiency with cloud data warehouses, ideally BigQuery
- Query optimization, partitioning, clustering, and cloud data warehouse cost management experience
- Expert-level SQL skills and experience with large-scale, complex datasets
- Understanding of Bronze, Silver, and Gold data architectures and lakehouse patterns
- Experience designing scalable data platforms on GCP, AWS, or Azure
- Strong software engineering practices, including version control, testing, and CI/CD
- Strong communication and stakeholder management skills
- Ability to influence technical standards across teams
- Experience applying automation or AI-assisted practices in data engineering
What We Do
CTS EVENTIM is a global ticketing and live-entertainment company operating in more than 25 countries. It markets tickets through physical, online, and mobile channels; develops software and e-commerce platforms for event organizers and artists; and operates and promotes concerts, festivals, venues, and other live events. The group combines ticketing technology, data-driven services, and event promotion to support entertainment businesses.
