GeekSoft Consulting
Data Modeler
Amsterdam, NLOp locatieVastFulltime
Geplaatst 25 sep 2026
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
Requirements
- Design and develop data models in collaboration with Data Architects and Solution Architects.
- Gather and translate business requirements into effective data modelling solutions.
- Make informed decisions and drive progress in situations with incomplete or evolving information.
- Translate logical data models into physical data models aligned with technical and business requirements.
- Extensive experience in data modelling, particularly Logical Data Models (LDM) and their translation into Physical Data Models (PDM).
- Strong knowledge of Data Vault 2.0 and SQL.
- Strong stakeholder communication and requirements-gathering skills.
- Experience working with data integration and data modelling in SAP-related projects.
- Knowledge of retail data entities such as Customer, Stock, and related retail domains.
- Experience with dbt, BigQuery, and GitHub.
- Understanding of SAP data structures and integration patterns.
Benefits
Fixed Term Employment ContractWork-Life Balance
Flexible Work Mode
What GeekSoft Consulting Offers
- International, collaborative consulting culture with clear career development paths.
- Comprehensive Dutch benefits package emphasizing well-being, mobility, and career growth.
Rolschets
Type baan
Fulltime
Vereiste vaardigheden
Logical Data Modeling (LDM)Physical Data Modeling (PDM)Data Vault 2.0SQLRequirements Gathering and Business-to-Data TranslationStakeholder CommunicationData IntegrationSAP Data Structures and Integration PatternsdbtGoogle BigQueryGitHub (version control / collaboration)Retail Data Domain Knowledge (Customer, Stock, related domains)System Resiliency and Availability (operational responsibility)Decision Making with Incomplete or Evolving InformationCross-functional Collaboration with Data and Solution Architects
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