The KPMG real estate tax team is a fast-growing part of the KPMG tax practice. We are looking for excellent

candidates who are seeking a dynamic and challenging working environment within a strong

supportive leadership team.  

For the right candidates, there are huge opportunities to be part of an expanding business and to progress

quickly as the team grows. The work is interesting and diverse, getting involved with cutting edge developments

and working with some of the best-known real estate and infrastructure firms as well as mid-size and new market

entrants and supporting their business as they rapidly grow.

The team is diverse and collaborative, with individuals based across London, Manchester, Birmingham, Bristol

and Edinburgh, we embraced hybrid and flexible working long before it became the norm!

Our team has a mix of backgrounds, people who have spent their entire career in professional services, or those

with tax, legal, accounting, and regulatory backgrounds as well as a number of people who have joined from

industry and bring real practical experience to the way we can help clients. Whatever your background we will

give you the support, encouragement, and training to thrive at KPMG.

Successful candidates will have the opportunity to specialise in real estate taxes.

We would be happy to have an informal chat with you to discuss opportunities in more detail.

Our Contract Performance & Insight (CP&I) team sits within KPMG’s Customer and Operations Advisory practice. We’re a dynamic mix of qualified accountants and commercially minded professionals who help clients unlock value from their third-party contracts.

Using a blend of audit techniques, technology, and strategic thinking, we analyse financial performance and contract compliance to identify cost recovery opportunities and drive operational improvements. Our work spans a wide range of agreement types—from royalties and software to supplier contracts—across both public and private sectors.

The role of the Integration & Dev Ops Enterprise Architect is to develop the UK Firm’s integration & DevOps technology strategy and translate this into a roadmap that determines our investment priorities and transformation portfolio. The integration strategy needs to promote a seamless, end-to-end customer and employee experience by enabling the efficient creation and modification of effective and reusable integration components. In particular, the strategy should promote the use of modern, Cloud-based technologies; Infrastructure as Code (IaC), support typical integration use cases; create an operating model that satisfies the demands of the business for integration design, development, testing and release; and establish an integration catalogue that supports the reuse of new technologies, whilst targeting legacy integrations for decommissioning. The Integration & Dev Ops Enterprise Architect should also help to execute and govern the strategy, by helping solution architects and projects to design solutions that are fit for purpose and conform to our standards and patterns.

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.

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.