A key focus for KPMG’s GCT team is to help multinational groups and financial services clients manage their global tax compliance, reporting and statutory accounting obligations, through outsourcing, co-sourcing, transformation and technology. More information about our team is at the end of this job description.

The Tax Technical team is a critical enabler to all tax activities within GCT and provides expertise into KPMG’s complex tax audits.  Audit quality is of paramount importance and to do this efficiently, we maintain a dedicated and enthusiastic team of tax specialists.  We are also the engine room of the tax reporting, compliance, governance and low-level advisory work undertaken by the wider GCT team – servicing large domestic compliance clients as well as our Global Compliance clients.

Enterprise Hybrid Cloud Platform Security Architect (Advisory) – Senior Manager – National Security

Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting’ aligned to a UK National Security organisation.

KPMG Overview
KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients’ most critical challenges.
With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in.

The Team

KPMG’s Cloud practice is a rapidly growing team of consultants that helps clients transform the way they deliver technology services to business stakeholders. We help the UK’s largest and most complex organisations to:

• Develop strategies for the adoption and exploitation of cloud in conjunction with modernised on premises capabilities
• Build the operating models, architectures and capabilities to deliver value from Cloud and Hybrid platforms
• Help clients operate their cloud or hybrid estates effectively and cost-efficiently over the long term.

We need Hybrid Platform Security Architects that are comfortable providing advice to C-suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well-established Defence Consulting team.

National Security
The National Security sector is one of KPMG’s key priority sectors, designated for high grow

Enterprise Hybrid Cloud Platform Architect (Advisory) – Senior Manager – National Security

Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting’ aligned to a UK National Security organisation.

KPMG Overview
KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients’ most critical challenges.
With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in.
The Team

KPMG’s Cloud practice is a rapidly growing team of consultants that helps clients transform the way they deliver technology services to business stakeholders. We help the UK’s largest and most complex organisations to:

• Develop strategies for the adoption and exploitation of cloud in conjunction with modernised on premises capabilities
• Build the operating models, architectures and capabilities to deliver value from Cloud and Hybrid platforms
• Help clients operate their cloud or hybrid estates effectively and cost-efficiently over the long term.

We need Hybrid Platform Architects that are comfortable providing advice to C-suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well-established Defence Consulting team.

National Security
The National Security sector is one of KPMG’s key priority sectors, designated for high growth over the next three years. It

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.

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.