Data Modeler - AWS - Remote.

Job Details

zusammenfassung.

  • Branche
    IT
  • Kontakt
    Jeremy Knight
  • Referenznummer
    23069

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Job Details

Data Modeler – Risk Management Services
Fully Remote | +/- 1 Hour of CET Time Zone

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.

Data Modeler – Risk Management Services
Fully Remote | +/- 1 Hour of CET Time Zone

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.

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JK

Jeremy Knight

Danke für die Anmeldung zu persönlichen Job-Benachrichtigungen.