National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Engineer - KPMG Curve

KPMG
West Yorkshire
1 month ago
Create job alert

Job description

Lead Data Engineer - Manager - KPMG Curve 106256

Base Location:Leeds based (Hybrid - 3 days per week in office)



As a result of the work that we do, we require applicants to hold or be capable of obtaining UK National Security Vetting, the requirements for which could include but not be limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national. Please note your application will not be taken forward if you cannot fulfil these requirements.

This is KPMG Curve, our newest tech venture. And we're doing things a little differently and we want You to come join us.

Here to solve big challenges and uncover even bigger opportunities, KPMG Curve is all about staying at the cutting edge of technology and swerving the mundane.

As a fast-growing digital delivery capability within KPMG, we always stay ahead of the curve by keeping up with ever-evolving tech practices. Whether that's unlocking the power of AI, coding for the future of the planet or everything in-between.

In a world where tech is always changing, so are we.

Why Join KPMG Curve as a Lead Data Engineer

Progression at pace. Innovation, led by constant learning. Work that excites you with every twist and turn. It all starts at KPMG Curve. Here, you'll progress your career as part of a connected team, while being encouraged to be your true, authentic self.

At KPMG Curve, we offer career paths that can accelerate top performers, without having to go into management. You can stay technically-focused and carry on improving in your favourite tech field. You won't be responsible for any sales work, either.

Other benefits include a learning allowance (so you can control your own growth) and paid overtime - prioritising the things that matter most to you. We take our work-life balance seriously and will make sure you get time back if you've been working on anything heavy. At the end of the day, your well-being is what matters most.

What will you be doing?

We welcome data engineers with experience in cloud environments who are happy to bring their views and experiences into the team and add another dimension to our solutions. We need you to be enthusiastic and inquisitive about new technology with a desire to continuously improve data engineering practices.

The Lead Engineer would be expected to lead client delivery, ensuring the highest standards of delivery.

What will you need to do it?

A high percentage of work will require individuals to hold or be capable of obtaining UK National Security Vetting, the requirements for which could include but not be limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national.

Extensive experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance of data pipelines and infrastructure Robust understanding of design practices and system architecture and with a focus on data security Extensive experience of defining code review standards to drive quality Excellent problem solving skills with experience of troubleshooting and resolving data-related issues Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Extensive experience driving and leading Agile methodologies (Scrum, pair-programming etc) Have the ability to work in a cross functional team of Business Analysts and demonstrating an excellent understanding of business requirements. Strong communication skills along with ability to lead a team towards a great product/service and articulate technical strategies to non-technical audiences including clients at all levels including C-suite

Skills we'd love to see/Amazing Extras:
Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP)Knowledge of data visualisation tools such as Tableau or Power BIExperience in building Machine learning and Data science applicationsAbility to use wide variety of open-source technologiesKnowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricksKnowledge of test automation frameworks and ability to automate testing within the pipelineTo discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.

Our Locations:

We are open to talk to talent across the country but our core Tech hubs for this role are:
LeedsThis position will be based from our Leeds offices, with 3 days per week in the office

We can potentially facilitate flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.

Find out more:

Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below:
Technology and Engineering at KPMG:ITs Her Future Women in Tech programme:KPMG Workability and Disability confidence:For any additional support in applying, please click the links to find out more:
Applying to KPMG:Tips for interview:KPMG values:KPMG Competencies:KPMG Locations and FAQ:

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.