Public summary
A consulting and technology company specializing in AI-native business systems seeks a Senior Data Modeler with expertise in Data Vault 2.0. The role involves designing scalable data models, ensuring data quality and alignment with enterprise standards, and collaborating with cross-functional teams to deploy AI-driven data solutions. Frequent travel to client sites such as Barcelona is required. Candidates should have 4+ years of experience in data modeling, strong SQL skills, and fluency in English. Additional experience with dbt, Databricks, and CI/CD practices is beneficial. The company offers competitive compensation, education and sports budgets, and a flexible working culture in an international team environment.
Location and work setup
- Location
- Munich
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Design and implement robust, scalable data models using Data Vault 2.0 techniques. Translate complex business needs into conceptual, logical, and physical data models. Ensure consistency and alignment with enterprise architecture and standards across multiple data domains and teams. Collaborate with client stakeholders and data teams to clarify requirements and align delivery timelines. Integrate data models into modern data platforms using state-of-the-art toolchains including CI/CD and Git. Act as a subject matter expert and mentor peers on advanced data modeling approaches and Data Vault use cases.
Qualifications
Minimum 4 years of experience in enterprise-scale data modeling, with proven competencies in Data Vault and dimensional modeling techniques. Strong understanding of conceptual, logical, and physical data modeling and their application in modern data ecosystems. Knowledge of data governance, metadata management, and business term alignment. Experience working in agile environments with DevOps toolchains such as CI/CD, Git, and automation tools. Proficiency in SQL and integrating models into data pipelines and BI/reporting layers. Strong collaboration and communication skills. Fluent in English. Willingness to travel frequently to client locations. Data Vault 2.0 certification and experience with dbt and Databricks are a plus.