SAP S/4 HANA Finance Enterprise Architect

The role of the SAP S/4 HANA Finance Enterprise Architect is to develop the UK Firm’s technology strategy for Finance and Engagement Management domain and translate this into a roadmap that determines our investment priorities and transformation portfolio. The technology strategy needs to promote a seamless, end-to-end customer and employee experience by enabling the efficient creation and modification of effective and reusable technology components. In particular, the strategy should promote the use of modern, Cloud-based technologies; support typical Finance use cases; challenge the business strategy based on emerging and future technology trends; and establish a catalogue that supports the reuse of new technology components, whilst targeting legacy applications and technology for decommissioning. The role 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.

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.

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 highly experienced Oracle Director to help lead and expand our Oracle practice across the UK. This is a senior leadership role with responsibility for helping to shape our strategy, increase client engagement, project delivery and commercial success. The ideal candidate will have proven Oracle expertise and a strong consulting background.

Ready to Engineer the Future? Join Our Quantexa Talent Pool!

Role: Data Engineers at all levels with Quantexa | Service Line: Data & AI – KPMG

At KPMG, we don’t just work with data—we transform it into intelligence that powers smarter decisions. Our Data & AI practice is growing at lightning speed, and we’re looking for bold innovators to join our Quantexa delivery team.

This is your chance to work with cutting-edge technology, tackle complex challenges, and shape solutions that redefine how organisations see and use their data.

What’s in it for you?

• Lead high-impact projects using the Quantexa platform.
• Build scalable data pipelines with Spark & Scala.
• Configure advanced Entity Resolution, Scoring, and Network Generation.
• Collaborate with top-tier architects and tech leads in an agile, fast-paced environment.
• Mentor, innovate, and stay ahead of the curve in Big Data and AI.

What We’re Looking For

• Quantexa Certified and passionate about data engineering.
• Strong skills in Scala, Apache Spark, and distributed systems.
• Experience with cloud platforms, CI/CD, and modern DevOps.
• A problem-solver who thrives on turning complexity into clarity.

Why KPMG?