KPMG has one of the leading Indirect Tax practices in the UK. We work as a national practice providing advice and support in all aspects of Indirect Tax (VAT, Customs Duty, Green taxes) to a broad range of business sectors including large multi-nationals, household name retailers and public sector organisations. The Indirect Tax practice is a fast-growing and dynamic business, currently with 13 partners and approximately 220 professional staff in the UK.

We have a significant growth plan over the next three years and in order to support this we are looking to recruit motivated individuals who are seeking a real challenge, to build on our successes to date and help us achieve our growth targets.

This Manager role is Financial Services focussed. KPMG has one of the largest Financial Services Indirect Tax departments, advising banking, insurance, investment management, asset backed finance, real estate and private equity clients across a broad range of issues.

The Manager will be responsible for ensuring the quality of delivery at this specialist level and will be actively involved in managing the performance of junior colleagues within the team.

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.

There has never been a been a better time to join the Technology & Data team at KPMG. Our clients are facing an inevitable surge in demand for timely, accurate insights along with agentic Ai implementations.  This is amplifying the need to have high quality data, at the heart of which, is Master Data Management, a discipline that has, until now, been overlooked and has suffered underinvestment.  We are seeing unprecedented demand for MDM services across our client base who are looking for partners they can trust to architect their MDM solutions across complex technology landscapes.   We are well positioned to do this with alongside our technology alliance partners and now need to scale our capability in this area.

As a Senior Data Engineer, you will lead the technical development of Quantexa-based solutions, bringing deep hands-on experience with data ingestion, transformation, and contextual data modelling. You will collaborate closely with Quantexa Architects, Tech Leads, and client stakeholders to deliver high-quality solutions that address complex business challenges.

You will play a critical role in designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.