We have an exciting opportunity for a Manager to join our rapidly expanding Corporate Treasury Services team. Our team is focused on serving the world's leading Corporate Treasuries with their most complex business challenges. The team offer deep treasury expertise in financial products and markets, risk management, systems, governance, valuation and accounting. We work closely with other high impact functions within KPMG such as Audit, Risk Consulting and Management Consulting to provide a wide range of treasury advisory services.

As one of the UK's leading audit and advisory firms, we offer a lively and stimulating environment where your goal will be to provide high level support as a Team Leader in the Payroll Department, working as part of KPMG Business Services.

This is a varied role that will allow the job holder to lead various aspects of the monthly payroll run along with performance management responsibilities for some of the payroll team.  KPMG payroll pays almost 17,000 people each month and the Team Leader is a critical part of ensuring our colleagues are paid accurately and on time.

As part of the Finance team, the Payroll Department is responsible for the regular monthly payment of over 16,500 employees based in the UK.  Payroll department has 12 permanent staff dealing with the payment of employees from all of KPMG’s UK offices. 

Power & Utilities (P&U) is one of the largest business areas of the Infratstructure team  and encompasses work for large clients in the sector, including all energy and water companies in the UK as well as some of the largest utilities in Europe and beyond. We provide in-depth strategic and technical advice on corporate finance and corporate financial management, regulatory finance, regulatory policy, business and financial planning, cost assessment and benchmarking as well as in other areas directly affecting value. Our work combines elements of policy, finance, strategy and economics to assist our clients in structuring investments, securing financing, supporting regulatory regimes and maximising shareholder value. We are widely recognised by many industry stakeholders as market leaders influencing the future of the utilities sector.
 

The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes.

As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights.

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.

Key Responsibilities

• 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.