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, public sector organisations and Financial Services.  The Indirect Tax practice is a fast-growing and dynamic business, currently with approximately 200 professional staff located across the UK.  We work to support our portfolio of clients with a variety of Indirect tax issues. 

In order to support our plans for our North of England Indirect Tax team, we are looking to recruit a motivated individual with a commercial edge who is seeking a real challenge, at Director level across our Indirect Tax business, to build on our successes to date and help us achieve our growth targets.

Joining KPMG means joining a talented team of exceptional colleagues who bring innovative thoughts and a natural curiosity to the work they do each day. No one type of person succeeds at KPMG; a diverse business requires diverse personalities, characters and perspectives. There really is a place for you here.

As a Data Engineer, you will implement 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 project team, Tech Leads, and client stakeholders to implement/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.

Here in the KPMG Transaction Services team, we have created an exciting and nurturing environment to bring out the best in our people who are looking to make an impact. Our extraordinary people help us to achieve our growth ambitions as the largest service line within Deal Advisory. 

We are proud to have fostered a friendly, collaborative, and supportive culture where we encourage you to use your voice, have your own views, and contribute to the client’s agenda. We offer a flexible working environment, where we enable you to focus on your development and the development of others.

We are looking for managers to join our Energy, Natural Resources (ENR) and Infrastructure team to support the continued growth of our TAS business. The ideal candidate will have a proven track record of managing small and medium-sized financial due diligence engagements, as well as leading key aspects of larger transactions and carve-outs across Energy and Infrastructure sectors. Relevant experience should include industries such as oil & gas, chemicals, regulated utilities, renewables, infrastructure assets, transportation, and data centres.  

The role offers the opportunity to work with market-leading transaction advisory professionals across the ENR and Infrastructure sectors, with a clearly defined progression path. The successful candidate will be supported in advancing to the next grade upon demonstrating the ability to take full ownership of large and complex engagements, together with the technical expertise, leadership skills, sector knowledge and behaviours required at that level.

• A strong delivery track record in Oracle Financial Consolidation and Close implementations (Oracle FCC) who can leverage business and technology-based solutions to deliver outcomes for our clients.
• System design and delivery, including release management, integration management, data migration strategy and management.
• Prior consulting experience on delivery financial consolidation and close processes for customer across different industries is a preferred requirement
• An understanding of Financial Services Organisation’s Target Operating Model, Process & Controls, Organisation Design, Change Management and Business Readiness is needed.

The Data Architect is responsible for supporting the development and operation of KPMG’s enterprise data architecture practice. The role combines hands-on data architecture and data modelling expertise with stakeholder engagement, governance support, and assurance of data deliverables across internal technology projects.