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.

Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment.

Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression.

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?

Responsibilities/ Attributes

• You will be in a client facing role, engaging with C-suite and senior executives to set the vision and then in the delivery and operationalisation of data architecture and technology platforms.
• Translate complex data concepts into compelling, actionable advice for stakeholders.
• A visible practice leader, shaping thought leadership, owning and refining propositions for relevance, and driving go-to-market activities.
• Lead the design and implementation of modern data platforms and architectures, including data Lakehouse, data engineering and advanced analytics ecosystems enabling scale implementation and adoption of Artificial Intelligence (ML, GenAI and Agentic).
• Develop and own end-to-end solution implementations using technologies such as Collibra, Informatica, Databricks, Quantexa, and Microsoft Fabric, ensuring scalability and impact. 
• Build, mentor, and inspire multi-disciplinary teams, fostering a culture of collaboration and innovation across onshore, nearshore and offshore locations.
• Champion delivery: unblock obstacles, step into the details, and deliver quiet confidence that you’ll get things done. 

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.