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

Apply Now

Senior Data Engineer

KPMG UK
Leeds
2 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer – Assistant Manager


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


https://kpmg.com/uk/en/about/offices.html


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


As a fast-growing digital delivery service, 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 Senior 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 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 Senior Engineer would be expected to work as part of a client delivery team, working to the highest technical standards.



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.


  • 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
  • Understanding of design practices and system architecture and with a focus on data security
  • Experience of working to code review standards to maintain quality
  • Excellent problem solving skills with experience of troubleshooting and resolving data-related issues
  • 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)
  • Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems
  • Knowledge of data visualisation tools such as Tableau or Power BI
  • Interest in building Machine learning and Data science applications
  • Ability to use wide variety of open-source technologies
  • Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks
  • Knowledge of test automation frameworks and ability to automate testing within the pipeline



To 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:

  • Leeds

This 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:



For any additional support in applying, please click the links to find out more:


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.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.