data modeler.

Role: Data Modeler
Location: Birmingham
Work Model: Hybrid

My finance sector client are looking for a skilled data modeler with a finance background, strong in UML, and passionate about creating scalable, compliant data solutions. As a Data Modeler you will help shape the client's enterprise data architecture and support critical business functions.

In this role you will:

• Design and maintain conceptual and logical data models for financial services, focusing on compliance and scalability.
• Collaborate with stakeholders to gather requirements and ensure models align with business needs.
• Utilize UML and SQL to create efficient object and class models for complex data structures.
• Work with cross-functional teams to integrate models and ensure data quality.

Essential Skills:

• 10+ years in finance data modeling.
• Familiar with frameworks like IFW, FS-LDM, BCBS 239.
• Proficient in UML, Object-Oriented Modeling, SQL, Git, and CI/CD.
• Knowledge of industry standards in finance and data governance is a plus.

Benefits:

• Competitive salary, pension, and 25 days holiday (+ bank holidays).
• Health & wellness support: GP access, wellness apps, life coaching.
• Enhanced Maternity & Paternity Pay and Cycle to Work scheme.
• Free Udemy access and support for certifications.

If interested please apply to the advertised position or send your latest CV to chaitanya.gadhe @ randstaddigital .com

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.