Senior Data Modeler

inventYOU IT Consulting

. Design and develop data models supporting business processes, BI, and analytical requirements .

Posted 9/15/2026full-timeLuxembourg • LuxembourgSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing layered data warehouse architectures and Data Vault 2.0 concepts, with a strong focus on data modeling, metadata management, and data quality. Proficient in translating business requirements into effective data models while collaborating with cross-functional teams to support analytics and reporting needs.

Highest-signal resume keywords

Data Vault 2.0 ImplementationLayered Data Warehouse Architecture DesignDimensional ModelingAdvanced SQL ProficiencyData Profiling and Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData GovernanceData LineageData Quality ManagementConceptual Data ModelsLogical Data ModelsPhysical Data ModelsStar SchemaSnowflake SchemaETL Integration

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving Skills

Tools & Technologies

Data Modeling ToolsMicrosoft Power BITableauLookerCloud-Based Data Platforms

Industry Keywords

Business IntelligenceData ManagementData IntegrationAutomation FrameworksAI-Assisted Modeling

Tech Stack

Tools & technologies

CloudETLSQLTableauVault

About the role

Key responsibilities & impact

Design and develop data models supporting business processes, BI, and analytical requirements
Create and maintain conceptual, logical, and physical data models
Design layered data warehouse architectures, including staging, raw, business vault, and data marts
Implement Data Vault 2.0 concepts, including Hubs, Links, Satellites, historization, auditability, and traceability
Translate business requirements into scalable and effective data models
Apply dimensional modeling, including star and snowflake schemas
Conduct data profiling and analysis to support model design and assess the impact of changes
Define and document data definitions, metadata, and data lineage
Work closely with ETL developers and data engineers to ensure efficient data integration and flow
Collaborate with BI analysts and business stakeholders to support reporting and analytics needs
Ensure data models follow data governance, quality, and modeling standards
Support data validation, reconciliation, and quality-monitoring activities
Contribute to data integration and broader data management initiatives
Maintain clear technical documentation and modeling standards

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, or a related field
Strong experience designing and implementing layered data warehouse architectures
Proven hands-on experience with Data Vault 2.0, including Hubs, Links, Satellites, historization, auditability, and traceability
Strong ability to develop conceptual, logical, and physical data models
Strong knowledge of dimensional modeling, including star and snowflake schemas
Advanced proficiency in SQL
Hands-on experience with data modeling tools
Strong understanding of metadata management, data lineage, and data quality
Experience with data profiling, validation, reconciliation, and quality-monitoring techniques
Ability to translate complex business and reporting requirements into effective data models
Experience collaborating with BI analysts, business stakeholders, ETL developers, and data engineers
Ability to contribute to data-modeling documentation, standards, and best practices
Experience designing data models within cloud environments
Strong analytical, communication, and problem-solving skills
Nice to have: Familiarity with Microsoft Power BI, Tableau, or Looker from a data engineering perspective
Nice to have: Familiarity with automation frameworks supporting Data Vault generation
Nice to have: Exposure to AI-assisted modeling accelerators or metadata-driven automation
Nice to have: Experience with cloud-based data platforms and modern data architectures
Nice to have: Familiarity with the Court of Justice domain

Benefits

Comp & perks

Work on complex and challenging data and analytics initiatives
Apply modern approaches such as Data Vault 2.0 and dimensional modeling
Collaborate with experienced data, BI, and business professionals
Work with modern cloud-based data architectures and technologies
Continue developing your expertise in data modeling, governance, and analytics