Senior Engineering Systems Engineer in London

Senior Engineering Systems Engineer in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead engineering projects and optimise systems for a top wealth management platform.
  • Company: Join Moneybox, an award-winning company focused on empowering financial freedom.
  • Benefits: Attractive salary, flexible working options, and opportunities for personal growth.
  • Other info: Be part of a dynamic team dedicated to transforming wealth management.
  • Why this job: Make a real difference in people's lives by enhancing their financial well-being.
  • Qualifications: Proven experience in engineering systems and a passion for innovation.

The predicted salary is between 63000 - 77000 Β£ per year.

Job Description hackajob is partnering directly with Moneybox to hire for this role.

At Moneybox, our mission is to give everyone the means to get more out of life.

We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind.

Moneybox is an award-winning wealth management platform, helping over one and a half million peop...

Senior Engineering Systems Engineer in London employer: Hackajob Ltd

JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.

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Contact Details:

Hackajob Ltd Recruitment Team

We think you need these skills to ace Senior Engineering Systems Engineer in London

Systems Engineering
Problem-Solving Skills
Analytical Skills
Technical Aptitude
Project Management
Communication Skills
Data Analysis