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- Aufgaben: Design and optimize data models for Risk Management systems.
- Arbeitgeber: Join Randstad Digital Switzerland, a leader in innovative digital solutions.
- Mitarbeitervorteile: Enjoy a fully remote work environment and flexible hours.
- Warum dieser Job: Work on challenging projects that drive success and foster professional growth.
- Gewünschte Qualifikationen: Bachelor’s or Master’s in Computer Science; 5+ years in data modeling required.
- Andere Informationen: Collaborate with passionate experts in a supportive culture.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
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 safetysystems 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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Data Modeler - AWS - Remote Arbeitgeber: Randstad (Schweiz) AG
Kontaktperson:
Randstad (Schweiz) AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Modeler - AWS - Remote
✨Tip Number 1
Familiarize yourself with the specific data modeling tools mentioned in the job description, such as Hackolade, ERWin, or ER/Studio. Having hands-on experience with these tools will give you a significant advantage during the interview process.
✨Tip Number 2
Brush up on your knowledge of AWS architectures and implementations, especially Kubernetes, Snowflake, and Talend. Being able to discuss how you've utilized these technologies in past projects can demonstrate your expertise and fit for the role.
✨Tip Number 3
Prepare to showcase your ability to communicate complex data concepts to both technical and non-technical stakeholders. Think of examples from your previous work where you successfully bridged this gap, as it’s crucial for this position.
✨Tip Number 4
Understand the principles of risk management systems and be ready to discuss how your data modeling experience aligns with rebuilding and optimizing these systems. This will show that you not only have the technical skills but also the relevant industry knowledge.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Modeler - AWS - Remote
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Modeler position. Familiarize yourself with the key tasks such as developing data models and ensuring compliance with organizational standards.
Tailor Your CV: Customize your CV to highlight relevant experience in data modeling principles and tools. Emphasize your proficiency with modeling tools like Hackolade or ERWin, and showcase your experience with AWS architectures.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Mention specific projects where you've developed data models or worked with risk management systems to demonstrate your fit for the role.
Highlight Communication Skills: Since the role requires effective communication with both technical and non-technical stakeholders, be sure to include examples in your application that showcase your ability to convey complex information clearly.
Wie du dich auf ein Vorstellungsgespräch bei Randstad (Schweiz) AG vorbereitest
✨Showcase Your Data Modeling Expertise
Be prepared to discuss your hands-on experience with data modeling principles and methods. Highlight specific projects where you developed conceptual, logical, and physical models, and be ready to explain the tools you used, such as Hackolade or ERWin.
✨Demonstrate AWS Knowledge
Since familiarity with AWS architectures is crucial for this role, make sure to brush up on your knowledge of AWS services like Kubernetes and Snowflake. Be ready to discuss how you've utilized these technologies in past projects.
✨Communicate Effectively
This position requires interaction with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms, and prepare examples of how you've successfully communicated with diverse teams in the past.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data modeling and risk management. Think of examples where you had to adapt your data models based on changing business requirements or compliance standards.
