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.

This role supports the development and drafting of global guidance and communications for sustainability reporting, financial reporting and corporate reporting more broadly, as well as relevant audit and assurance considerations relating to forthcoming and existing IFRS Accounting Standards, IFRS Sustainability Disclosure Standards and European Sustainability Reporting Standards (ESRS).

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.

We are seeking an experienced, skilled, and proactive Platform Engineering Lead to join our dynamic team. In this role, you will play a crucial part in establishing and leading a new engineering vertical within ATDT, shaping a modern engineering tower to support developers and cloud engineers. You will oversee the design, development, and maintenance of cloud platform solutions, enabling seamless integration of modern engineering techniques across the team.

In addition, you will lead a team of engineers, including specialists in both traditional infrastructure and Azure DevOps, ensuring the stability, availability, and security of the Azure platforms used by product developers.

The Sales Enablement Lead will bring subject matter expertise in implementing strategies, tools and processes that continually increase the efficiency and effectiveness of sales teams. You will bring significant knowledge on a particular set of process and emerging industry trends/issues to the team to help develop regional sales strategies and win approach for bids. Typically participates on a part-time basis, or full time during various stages of an opportunity pursuit. Equips all client-facing employees with the ability to add value to conversations with customer stakeholders at each stage of sales process