Full Stack Engineer - Investment Platform (Cloud, AI, Data)

Full Stack Engineer - Investment Platform (Cloud, AI, Data)

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Broughton Group

At a Glance

  • Tasks: Develop full-stack applications and enhance data platforms in investment technology.
  • Company: Broughton Group, a leader in engineering modernization for finance.
  • Benefits: Flexible hybrid work model and competitive pay of £850-£1200 per day.
  • Other info: Opportunity to work on scalable analytics and make a real impact.
  • Why this job: Join a fast-paced environment and drive innovation in cloud-native engineering.
  • Qualifications: Experience in full-stack development and a passion for financial technology.

The predicted salary is between 50000 - 70000 £ per year.

Broughton Group is seeking a Contract Full Stack Engineer in London to drive engineering modernization in investment technology. You will develop full-stack applications and enhance data platforms within a fast-paced financial environment.

The role offers a flexible hybrid work model and a competitive pay of 850-1200 per day depending on your experience, with direct engagement in cloud-native engineering and scalable analytics.

Full Stack Engineer - Investment Platform (Cloud, AI, Data) employer: Broughton Group

Broughton Group is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. With a flexible hybrid work model and competitive pay, employees are empowered to grow their skills in cloud-native engineering and scalable analytics, all while contributing to cutting-edge investment technology. The company fosters a culture of collaboration and continuous learning, making it an ideal place for those seeking meaningful and rewarding career opportunities.

Broughton Group

Contact Details:

Broughton Group Recruitment Team

We think you need these skills to ace Full Stack Engineer - Investment Platform (Cloud, AI, Data)

Full Stack Development
Cloud-Native Engineering
Data Platform Enhancement
Scalable Analytics
Financial Technology Knowledge
Fast-Paced Environment Adaptability
Hybrid Work Model Experience