Our Contract Performance & Insight (CP&I) team sits within KPMG’s Customer and Operations Advisory practice. We’re a dynamic mix of qualified accountants and commercially minded professionals who help clients unlock value from their third-party contracts.

Using a blend of audit techniques, technology, and strategic thinking, we analyse financial performance and contract compliance to identify cost recovery opportunities and drive operational improvements. Our work spans a wide range of agreement types—from royalties and software to supplier contracts—across both public and private sectors.

KPMG’s Cloud Transformation practice is an award-winning team of over 50 consultants that helps clients transform the way CIOs and their teams deliver technology services to their business stakeholders. Our team help the UK’s largest and most complex organisations develop cloud strategies, build the operating models, architectures and capabilities to deliver value from cloud, and operate their cloud or hybrid estates effectively and cost-efficiently.

 

To support our clients, we use KPMG’s deep industry insights, C-suite relationships, cloud architecture capabilities, alliances and accelerators ranging from our cloud value labs, KPMG Cloud Cost Management models, Cloud controls frameworks and landing zones.  Our 350+ strong engineering teams implement these strategies and solutions – sitting at the heart of major transformations across the UK, helping technology executives convert business strategy into compelling technology outcomes.

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.

The Technology in M&A team at KPMG is a growing and dynamic team. We deal with all aspects of the technology function, from strategy, cloud, digital, technology spend, etc. We work with both acquirers and vendors on pre- and post-deal technology issues.

KPMG’s Cloud Transformation practice is an award-winning team of over 50 consultants that helps clients transform the way CIOs and their teams deliver technology services to their business stakeholders. Our team help the UK’s largest and most complex organisations develop cloud strategies, build the operating models, architectures and capabilities to deliver value from cloud, and operate their cloud or hybrid estates effectively and cost-efficiently.

 

To support our clients, we use KPMG’s deep industry insights, C-suite relationships, cloud architecture capabilities, alliances and accelerators ranging from our cloud value labs, KPMG Cloud Cost Management models, Cloud controls frameworks and landing zones.  Our 350+ strong engineering teams implement these strategies and solutions – sitting at the heart of major transformations across the UK, helping technology executives convert business strategy into compelling technology outcomes.