Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineering Manager

Flagstone Group LTD
City of London
2 days ago
Create job alert
Overview

Flagstone is many things. An online savings platform, reinventing how individuals, businesses, and charities manage, protect, and grow their cash. A diverse group of people, bound by a collaborative spirit, and shared purpose. And lastly, a thriving, profitable business – where smart people do their best work.

Each definition shares a common thread: our unique culture. It’s our pride and joy. And our competitive advantage.

A feel for our culture:

To revolutionise the savings market, we need to be at our best. But high performance takes more than talent – it takes a culture of kindness, respect, and growth.

That’s why we’re building a diverse, inclusive community, where your voice is heard and valued. Where, with close support and room to develop, you can surpass even your own expectations. And be rewarded for it.

We may not change the world, but we can change the world of financial technology. And all it takes is a winning mix of drive, talent, and empathy. Our culture celebrates all three.

But enough about us. Let’s talk about you.

Does this sound like you?

A Data Platform or Engineering Manager looking for a new role within a fast paced scale up. Experienced in both leading and managing a centralised data team whilst working with key stakeholders to deliver huge value to a business.

What you’ll do:

You will lead our Data Platform team and be responsible for its overall success and value to the business. This involves driving the strategic evolution of the team and platform, ensuring they operate effectively to really empower our business with data. You will be responsible for managing and mentoring our team to build a centre of excellence and ensuring all work is delivered to the high technical and operational standards. This is a delivery focused managerial role with some hands-on engineering to support when needed.

What you’ll bring:
  • Experience building a centre of excellence and a highly capable data platform/engineering team.
  • A strong natural ability to manage a complex landscape of senior stakeholders and projects
  • Excellent agile project management and delivery management skills
  • Solid experience designing and building a variety of complex and scalable data solutions
  • Passion to be a Data Champion and prominent figure within our data community.
How we reward you:

At Flagstone, the benefits extend beyond false gifts like “fruit and snacks”. Instead, we invest in your health, wealth, and professional development. Here’s a selection of our benefits:

  • Hybrid working - Spend at least 1 day a week with your team in our collaborative London office
  • Competitive bonus scheme - designed to reward and recognise high performance
  • Flexible benefits budget - a pot to fund meaningful benefits for you, whether it\'s hormone or fertility testing, cancer screening, neuro-diversity coaching or something that matters for you.
  • A range of salary sacrifice options to help you make tax efficient savings on electric cars, nursery schemes, home and tech goods.
  • Around the World scheme - 3 months work from anywhere scheme
  • Mental wellbeing support – Access therapy and mental health sessions through Spill
  • Learning and development – £1,000 personal development budget to help you grow in your role.
  • Private health care - Enjoy all the benefits AXA has to offer, including reduced gym memberships and medical history disregarded
  • Medical cash plan - To help you with the costs of dental and optical expenses
  • Life insurance and Income Protection- four times your annual salary for peace of mind
  • Matched pension contributions up to 5%
  • 25 days holiday - plus bank holidays, well-being days and volunteering days
  • Enhanced Parental Leave – enhanced maternity, paternity and adoption pay.

All are welcome.

At Flagstone, we’re assembling a diverse team that defies our industry’s norms. Think this role could suit you? We encourage you to apply, no matter your background.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager, London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.