KPMG’s national Incentives, Reliefs & Innovations team is made up of tax, engineering, science, and technology specialists delivering expert advice to a broad range of clients across almost every industry sector. As one of the largest teams in the industry, our continued investment in innovation advisory means that we seek engineers and scientist to join us on the next exciting phase of our growth.

Our team works with clients from owner managed business, to large multinational organisation, and we are looking for a Manager with a strong scientific/ engineering background to assist clients across a suite of innovation advisory services including R&D tax credits, Patent Box, R&D Allowances, Grants and Innovation Advisory services.

Job Title/Req Number: Pension Risk Transfer Specialist

Base Location: London, Manchester or Birmingham plus network of 20 offices nationally.

KPMG’s Pensions Advisory continues to build out its new pensions team, and requires individuals that can bring different skill-sets to the team. We are looking for a talented and experienced Senior Manager to join our team, who will be responsible for working closely colleagues in the area of pension risk transfer.

As a Senior Manager, you will be responsible for effective collaboration within teams, supervising the work of junior staff, providing coaching and development to assist them in the effective delivery of engagements.

KPMG’s Strategy & Performance Transformation practice is looking for exceptional candidates for a Director role.  The role will focus on Deal Strategy within the Media industry as part of the wider Telecommunications-Media-Technology sector, but with scope to work on the wider range of services including Growth Strategy, Deal Strategy, Cost and Operational strategy (including Economic Profitability Analysis) and Enterprise-wide Transformation.

The Strategy & Performance Transformation team is part of KPMG’s rapidly expanding Strategy Group, which delivers value for clients by challenging conventional thinking, bringing deep industry and functional insights and executing with investor-grade rigour.  We are a diverse team of over 150  practitioners, working collaboratively with and orchestrating KPMG’s broad set of capabilities within our Deal Advisory business.

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.

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.