Data Modeler – Risk Management Services
Hybrid Geneva
About Randstad Digital Switzerland
Randstad Digital Switzerland is a leader in delivering innovative digital solutions. We empower organizations to achieve their transformation goals through cutting-edge technology and data-driven strategies. Join us to shape the future of digital ecosystems.
Your Role
We are seeking a highly skilled Data Modeler to support the rebuild and optimization of Risk Management systems. You will play a key role in designing unified, future-proof data models and information flow processes while ensuring compliance with organizational standards.
Key Responsibilities
- Develop a unified Contextual and Logical Data Model for rebuilding risk and safety systems based on the documented Risk Management Services business process model.
- Review and expand the Risk Logical Data Model (LDM) to support Seller Risk Management for mixed ticket-based and order-based sales.
- Create and document the Information Flow Model, characterizing data inputs/outputs, flow stages, and access methods.
- Contribute to technical design specifications, including source-to-target mapping documentation for ETL developers.
- Document data quality requirements, validation rules, and commonly used data concepts to ensure alignment across the Financial Services portfolio.
- Capture analytics and reporting needs to propose data modeling approaches for the Analytical Data Warehouse.
- Develop or refine the Business Data Glossary, classifying business terms and hierarchical compositions of aggregated or analyzed data concepts.
- Ensure compliance with organizational standards and industry best practices.
Your Profile
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical fields.
- 5+ years of hands-on experience in data modeling principles/methods (conceptual, logical, and physical models).
- Proficiency with modeling tools such as Hackolade, ERWin, or ER/Studio.
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data center contexts.
- Familiarity with AWS architectures and implementations (e.g., Kubernetes, Snowflake, Talend).
- Strong understanding of synchronizing database structures with business models.
- Ability to effectively communicate with both technical and non-technical stakeholders.
- Fluent in English (reading, writing, speaking).
Why Join Us?
- Flexible Work Environment: Work fully remotely within the CET time zone (+/- 1 hour).
- Challenging Projects: Be part of mission-critical initiatives that drive organizational success.
- Professional Growth: Access to continuous learning and development opportunities.
- Collaborative Culture: Work alongside experts who are passionate about technology and innovation.
This role is based in Geneva so we are looking for candidates who live locally in Switzerland and can be on our client's site regularly.
Data Modeler – Risk Management Services
Hybrid Geneva
About Randstad Digital Switzerland
Randstad Digital Switzerland is a leader in delivering innovative digital solutions. We empower organizations to achieve their transformation goals through cutting-edge technology and data-driven strategies. Join us to shape the future of digital ecosystems.
Your Role
We are seeking a highly skilled Data Modeler to support the rebuild and optimization of Risk Management systems. You will play a key role in designing unified, future-proof data models and information flow processes while ensuring compliance with organizational standards.
Key Responsibilities
- Develop a unified Contextual and Logical Data Model for rebuilding risk and safety systems based on the documented Risk Management Services business process model.
- Review and expand the Risk Logical Data Model (LDM) to support Seller Risk Management for mixed ticket-based and order-based sales.
- Create and document the Information Flow Model, characterizing data inputs/outputs, flow stages, and access methods.
- Contribute to technical design specifications, including source-to-target mapping documentation for ETL developers.
- Document data quality requirements, validation rules, and commonly used data concepts to ensure alignment across the Financial Services portfolio.
- Capture analytics and reporting needs to propose data modeling approaches for the Analytical Data Warehouse.
- Develop or refine the Business Data Glossary, classifying business terms and hierarchical compositions of aggregated or analyzed data concepts.
- Ensure compliance with organizational standards and industry best practices.
Your Profile
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical fields.
- 5+ years of hands-on experience in data modeling principles/methods (conceptual, logical, and physical models).
- Proficiency with modeling tools such as Hackolade, ERWin, or ER/Studio.
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data center contexts.
- Familiarity with AWS architectures and implementations (e.g., Kubernetes, Snowflake, Talend).
- Strong understanding of synchronizing database structures with business models.
- Ability to effectively communicate with both technical and non-technical stakeholders.
- Fluent in English (reading, writing, speaking).
Why Join Us?
- Flexible Work Environment: Work fully remotely within the CET time zone (+/- 1 hour).
- Challenging Projects: Be part of mission-critical initiatives that drive organizational success.
- Professional Growth: Access to continuous learning and development opportunities.
- Collaborative Culture: Work alongside experts who are passionate about technology and innovation.
This role is based in Geneva so we are looking for candidates who live locally in Switzerland and can be on our client's site regularly.
