Banking Data Modelling Architect – Hybrid London

Banking Data Modelling Architect – Hybrid London

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
WA Consultants

At a Glance

  • Tasks: Lead the design of data models for banking and investment management in a cloud-based platform.
  • Company: Wa Consultants, a leader in data architecture with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on modern technology and data governance.
  • Why this job: Shape the future of banking data solutions and make a significant impact.
  • Qualifications: Experience in data architecture and strong understanding of banking and investment management.

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

Wa Consultants is seeking an experienced Data Architect / Data Modelling Consultant with a strong banking and investment management background to lead target-state reporting and analytics data models within a modern cloud‑based data platform. The role is 4 days onsite in London with 1 day remote and is INSIDE IR35.

You will work closely with business and technology stakeholders to translate requirements into scalable data solutions, define target‑state data models, and governance standards.

Banking Data Modelling Architect – Hybrid London employer: WA Consultants

Join a dynamic team where your contributions as an HR Operations Administrator will be valued and recognised. Our company fosters a collaborative work culture that prioritises employee growth, offering ample opportunities for professional development and training. Located in a vibrant area, we provide a supportive environment that encourages innovation and efficiency, making it an excellent place for those seeking meaningful and rewarding employment.

WA Consultants

Contact Details:

WA Consultants Recruitment Team

We think you need these skills to ace Banking Data Modelling Architect – Hybrid London

Communication Skills
Python
Problem-Solving Skills
SQL
Automation
Attention to Detail
Data Engineering