Data Modeller (Financial Services)

Data Modeller (Financial Services)

Full-Time 60000 - 80000 € / year (est.) No home office possible
Hays Specialist Recruitment Limited

At a Glance

  • Tasks: Design and maintain high-quality data models in a dynamic financial environment.
  • Company: Global financial institution with a focus on innovation and collaboration.
  • Benefits: Access to cutting-edge technologies and hybrid working arrangements for flexibility.
  • Other info: Join a supportive team with opportunities for career growth and development.
  • Why this job: Make a real impact in the financial sector while developing your data modelling skills.
  • Qualifications: Experience in data modelling, SQL proficiency, and knowledge of financial reference data.

The predicted salary is between 60000 - 80000 € per year.

Your new role My client is a global financial institution seeking an experienced Data Modeller to support enterprise-wide data initiatives within a regulated financial environment. You'll play a key role in designing and maintaining high-quality data models, with a specific focus on financial and market reference data, working closely with business and technology stakeholders.

What you'll need to succeed:

  • Strong understanding of financial reference data and market reference data.
  • Proven data modelling expertise, with a clear grasp of conceptual, logical and physical data models.
  • In-depth knowledge of reference data database structures, including best practices for sourcing, validating and capturing data.
  • Solid experience using UML and ERD for logical data modelling.
  • Strong understanding of relational database systems (RDBMS) with hands-on SQL proficiency.
  • Experience with Sparx Systems Enterprise Architect or similar visual data modelling tools such as Erwin or ER Studio.
  • Practical experience working with JSON and XML data formats.

What you'll get in return:

  • Access to market-leading technologies within a global financial institution.
  • Hybrid working arrangements offering flexibility and balance.

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Data Modeller (Financial Services) employer: Hays Specialist Recruitment Limited

Join a leading global financial institution that prioritises innovation and employee development. With access to cutting-edge technologies and a flexible hybrid working model, you'll thrive in a collaborative environment that values your expertise in data modelling. This role not only offers competitive benefits but also provides ample opportunities for professional growth within the dynamic financial services sector.

Hays Specialist Recruitment Limited

Contact Detail:

Hays Specialist Recruitment Limited Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Modeller (Financial Services)

✨Tip Number 1

Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for a Data Modeller role. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data modelling projects, especially those involving financial and market reference data. This will give potential employers a clear view of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and data modelling techniques. Be ready to discuss your experience with UML, ERD, and any tools like Sparx Systems Enterprise Architect. Confidence in your knowledge will impress interviewers!

✨Tip Number 4

Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Data Modeller (Financial Services)

Data Modelling
Financial Reference Data
Market Reference Data
Conceptual Data Models
Logical Data Models
Physical Data Models
Reference Data Database Structures

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the Data Modeller role. Highlight your experience with financial reference data and data modelling expertise. We want to see how your skills align with what we're looking for!

Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used UML, ERD, and SQL in your previous roles. This helps us see your practical experience in action.

Keep It Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Avoid jargon unless it’s relevant to the role, and keep your sentences short and impactful.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Hays Specialist Recruitment Limited

✨Know Your Data Models

Make sure you brush up on your understanding of conceptual, logical, and physical data models. Be ready to discuss how you've applied these in previous roles, especially in the context of financial reference data.

✨Showcase Your SQL Skills

Since hands-on SQL proficiency is key for this role, prepare to demonstrate your SQL knowledge. You might be asked to solve a problem or optimise a query, so practice common SQL scenarios beforehand.

✨Familiarise with Tools

Get comfortable with Sparx Systems Enterprise Architect or similar tools like Erwin or ER Studio. If you have experience with these, be prepared to share specific examples of how you've used them to create effective data models.

✨Understand Data Formats

Brush up on your knowledge of JSON and XML data formats. Be ready to explain how you've worked with these formats in past projects, as this will show your versatility and technical depth.