KPMG's Tax practice is a dynamic and successful area of our business. A constantly changing and increasingly high-profile field, Tax can offer a surprisingly broad range of quality career paths to ambitious people. Our CTAC department is a fast growing part of our Tax practice with a diverse client base ranging from PE-backed, owner managed and family businesses through to UK listed and multinationals. Working in our successful CTAC department will give you the opportunity to develop relationships with clients as you help with advisory work and manage the compliance process.

We are looking for seasoned GBS practitioners to join us and help grow our GBS advisory practice in the UK, to shape and articulate the GBS/SSC strategy and value proposition to C-level and VP level clients.

You'll design and develop GBS/SSC shared services operating models for our clients across various corporate functions such as finance, HR, IT, supply chain/logistics, procurement etc including governance and service management capabilities, along with the service catalogues and service level agreements, and apply leading practice end to end process expertise in one or more core finance, HR, IT, supply chain/logistics, procurement or other corporate functions in order to design and implement new re-engineered processes in a Shared Services or Business Process Outsourcing operating model  

Deal Advisory Tax Manager

At KPMG, our Values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people: their different perspectives, experiences, and backgrounds.

Deal Advisory Tax is a dynamic and successful area of KPMG’s Tax & Legal business.  We have an inclusive and collaborative leadership strategy and are making bold changes to our culture and how we work.  A constantly changing and high-profile field, we work in a fast-paced, challenging and rewarding environment, and can offer a broad range of quality career paths to ambitious people.

The Role

Deal Advisory Tax provides market leading services to both Corporate and Financial investors.  Whilst we have teams focused on clients in four key markets Corporates; Private Equity & Credit; Real Estate and Energy & Infrastructure, we are a national and connected team, working and learning with each other.

• Corporates:  We work alongside some of the most forward-thinking FTSE 100 and 250 businesses, as well as Corporates across the UK, supporting them with strategic acquisitions, carve outs, de-mergers, disposals, and joint ventures both in the UK and cross-border. Our corporates business is a multi-sector business, including Consumer, Life sciences, TMT, Industrials, ENR and Banking & Insurance. 
• Asset Management:  We work with Private Equity, Infrastructure, Renewable/ Energy transition, and Real Estate Funds, both large and mid-cap, as well as institutional investors such as Sovereign Wealth Funds and Pension Funds.  Our clients have UK, European and Global investment strategies and will often have teams across multiple asset classes which allows our people to experience different types of transactions.

The Deal Advisory Tax team provides advisory services across the whole deal spectrum including buy-side due diligence and structuring, sell-side vendor

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.