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

Apply Now

Data Engineering Manager London

flagstoneim.com
City of London
2 weeks 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, London

Data Engineering Manager [UK]

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.