BI & Data Engineer Lead – Hybrid, Platform Ownership

BI & Data Engineer Lead – Hybrid, Platform Ownership

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

At a Glance

  • Tasks: Lead the Microsoft analytics platform and create trusted data solutions for impactful business insights.
  • Company: Agora Talent, a forward-thinking organisation focused on data-driven decision making.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to best practices in BI and data governance.
  • Why this job: Shape the future of analytics and drive meaningful change within the organisation.
  • Qualifications: Experience in BI development and data engineering with strong problem-solving skills.

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

Agora Talent is seeking a BI Developer & Data Engineer to own the Microsoft analytics platform, ensuring it is scalable, reliable and capable of supporting data‑driven decision making across the organisation. You will build well‑designed data models, optimise performance and create trusted data solutions that enable business insight, within a growing analytics function that sets best practice across BI, data engineering and governance.

BI & Data Engineer Lead – Hybrid, Platform Ownership employer: Agora Talent

Agora Talent is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, you will have the opportunity to influence key financial processes while enjoying flexible working arrangements and a competitive bonus structure. Join us to be part of a dynamic team that values your expertise and supports your professional development.

Agora Talent

Contact Details:

Agora Talent Recruitment Team

We think you need these skills to ace BI & Data Engineer Lead – Hybrid, Platform Ownership

Microsoft Analytics Platform
Data Modelling
Performance Optimisation
Data Solutions Development
Business Insight Generation
BI Best Practices
Data Engineering