Lead Data Engineer

Lead Data Engineer

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 proactive

Data Engineer

with strong expertise in the

Microsoft Azure data ecosystem , including

Microsoft Fabric ,

Synapse Analytics , and

Delta 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 maintain

robust data pipelines and notebooks

using Synapse Analytics and Microsoft Fabric.
Build and optimise

complex data transformation and ingestion logic

to support enterprise-level reporting and analytics.
Leverage

Delta Lake architecture

to support both batch and streaming data processes.
Develop high-quality, reusable code in

Python and PySpark , following best practices and ensuring maintainability.
Create insightful, interactive reports and dashboards using

Power BI .
Use

Git and Azure DevOps (ADO)

for version control and deployment workflows.
Continuously improve the performance, reliability, and scalability of data systems.
Advocate for best practices in

data governance, data quality, and documentation .

What will you need to do it?

In depth experience working with the

Microsoft 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: Azure Data Fundamentals
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Microsoft Fabric Analytics Engineer Associate
Familiarity with

real-time data processing

using Azure Event Hubs or similar technologies.
Exposure to

data science or machine learning pipelines .
Understanding of

data security, GDPR, and compliance

best 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:

London, Canada Square
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