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

Nominate & Attend

Lead Data Engineer

KPMG UK
London
3 weeks ago
Create job alert

Direct message the job poster from KPMG UK

Base Location:Could be based at any one of our network of 20 offices nationally, but will require travel to client sites:

www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations

The KPMG Technology + Data function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting-edge solutions across the United Kingdom. Working on complex engagements including working closely with clients to design, implement, and manage scalable data solutions, this team is responsible for the delivery of cutting-edge technical solutions and trusted to get it right first time.

KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is.

Why Join KPMG Data and AI Team

We are looking for a skilled and proactiveData Engineerwith strong expertise in theMicrosoft Azure data ecosystem, includingMicrosoft Fabric,Synapse Analytics, andDelta Lake. This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large datasets, and enabling data-driven decision-making across the organisation.

The successful candidate will play a key role in designing and implementing scalable data solutions, collaborating with both technical and non-technical stakeholders, and helping shape our modern data architecture.

What will you be doing?

  • Support clients in generating business value from digital solutions powered by SAP and Cloud technologies.
  • Manage projects and workstreams on complex data cleanse and migration programs from strategy to execution.
  • Support senior client stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner through articulating and realizing the value of data.
  • Design, develop, and maintainrobust data pipelines and notebooksusing Synapse Analytics and Microsoft Fabric.
  • Build and optimisecomplex data transformation and ingestion logicto support enterprise-level reporting and analytics.
  • LeverageDelta Lake architectureto support both batch and streaming data processes.
  • Develop high-quality, reusable code inPython and PySpark, following best practices and ensuring maintainability.
  • Create insightful, interactive reports and dashboards usingPower BI.
  • UseGit and Azure DevOps (ADO)for version control and deployment workflows.
  • Continuously improve the performance, reliability, and scalability of data systems.
  • Advocate for best practices indata governance, data quality, and documentation.

What will you need to do it?

  • In depth experience working with theMicrosoft Azure Data Technology Stack, including services such as Azure Data Factory, Synapse Analytics, Azure Data Lake Storage, and related tools.
  • Microsoft Fabric– experience with dataflows, lakehouses, notebooks, and workspace management.
  • Azure Synapse Analytics– pipeline and notebook creation, performance tuning, and data transformation logic.
  • Power BI– data modelling, DAX, and visualisation development.
  • Delta Lake– supporting structured streaming and batch data workloads.
  • Python & PySpark– used for scalable data engineering solutions.
  • Git / Azure DevOps (ADO)– version control, CI/CD, and collaboration in team-based environments.

Skills we’d love to see/Amazing Extras:

  • Microsoft Certified: Microsoft Fabric Analytics Engineer Associate
  • Familiarity withreal-time data processingusing Azure Event Hubs or similar technologies.
  • Exposure todata science or machine learning pipelines.
  • Understanding ofdata security, GDPR, and compliancebest practices.

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 the core locations for this team are in the following offices:

  • Birmingham
  • Manchester
  • Leeds

With 20 sites across the UK, we can potentially facilitate office work, working from home, 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: www.kpmgcareers.co.uk/experienced-professional/technology-engineering/
  • ITs Her Future Women in Tech programme:www.kpmgcareers.co.uk/people-culture/it-s-her-future/
  • KPMG Workability and Disability confidence:www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/need-support-let-us-know/

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

  • Applying to KPMG:www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/
  • Tips for interview:www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/application-advice/
  • KPMG values:www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/our-values/
  • KPMG Competencies:www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/kpmg-competencies/
  • KPMG Locations and FAQ:www.kpmgcareers.co.uk/faq/?category=Experienced+professionals

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology and Consulting
  • IndustriesTechnology, Information and Media

Referrals increase your chances of interviewing at KPMG UK by 2x

Greater London, England, United Kingdom 2 weeks ago

Derby, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Manchester Area, United Kingdom 1 day ago

Leeds, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.