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(Senior) Data Modelling Engineer(m/w/x)
Designing Data Vault 2.0 models and dbt frameworks for live event ticketing. Extensive data modelling and production dbt experience required. Cloud data warehouse optimization and cost management.
Requirements
- Extensive data modelling experience with Data Vault 2.0
- Hands-on dbt experience in production
- Advanced proficiency in cloud data warehouses (ideally BigQuery)
- BigQuery query optimization, partitioning, clustering, cost management
- Expert-level SQL skills
- Experience with large-scale, complex datasets
- Understanding of modern data architectures (Bronze/Silver/Gold)
- Understanding of lakehouse patterns
- Experience designing scalable data platforms on GCP, AWS or Azure
- Experience designing maintainable data platforms on GCP, AWS or Azure
- Strong software engineering practices
- Version control experience
- Testing experience
- CI/CD experience
- Strong communication skills
- Strong stakeholder management skills
- Ability to influence technical standards
- Apply automation or AI-assisted practices in data engineering
Tasks
- Design scalable, resilient data models using Data Vault 2.0
- Define and enforce data modelling standards and conventions
- Transform raw data into structured, integrated datasets
- Embed data quality, lineage, auditability, and governance
- Design scalable, modular dbt frameworks
- Optimize BigQuery pipelines and storage
- Architect orchestration workflows with Cloud Composer / Airflow
- Drive testing strategies, CI/CD practices, and code quality
- Translate stakeholder requirements into robust data models
- Mentor data engineers and resolve performance issues
- Collaborate with analytics and business teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Data Vault 2.0
- dbt
- BigQuery
- GCP
- AWS
- Azure
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(Senior) Data Modelling Engineer(m/w/x)
Designing Data Vault 2.0 models and dbt frameworks for live event ticketing. Extensive data modelling and production dbt experience required. Cloud data warehouse optimization and cost management.
Requirements
- Extensive data modelling experience with Data Vault 2.0
- Hands-on dbt experience in production
- Advanced proficiency in cloud data warehouses (ideally BigQuery)
- BigQuery query optimization, partitioning, clustering, cost management
- Expert-level SQL skills
- Experience with large-scale, complex datasets
- Understanding of modern data architectures (Bronze/Silver/Gold)
- Understanding of lakehouse patterns
- Experience designing scalable data platforms on GCP, AWS or Azure
- Experience designing maintainable data platforms on GCP, AWS or Azure
- Strong software engineering practices
- Version control experience
- Testing experience
- CI/CD experience
- Strong communication skills
- Strong stakeholder management skills
- Ability to influence technical standards
- Apply automation or AI-assisted practices in data engineering
Tasks
- Design scalable, resilient data models using Data Vault 2.0
- Define and enforce data modelling standards and conventions
- Transform raw data into structured, integrated datasets
- Embed data quality, lineage, auditability, and governance
- Design scalable, modular dbt frameworks
- Optimize BigQuery pipelines and storage
- Architect orchestration workflows with Cloud Composer / Airflow
- Drive testing strategies, CI/CD practices, and code quality
- Translate stakeholder requirements into robust data models
- Mentor data engineers and resolve performance issues
- Collaborate with analytics and business teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Data Vault 2.0
- dbt
- BigQuery
- GCP
- AWS
- Azure
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
CTS EVENTIM
Industry
IT
Description
Das Unternehmen bietet E-Commerce-Lösungen im Sportbereich und arbeitet mit namhaften Vereinen und Veranstaltern zusammen.