The Opportunity

This is a chance to build and be part of a new concept at KPMG. We are creating a team to gain access to a new segment of the technology market where there is opportunity for significant growth. We are looking for people to help establish a flexible, start-up culture; drive the best ways of working and ensure we make the most of this opportunity. We will look to our Principle Engineering community to help shape and drive this new business to create a healthy working environment, allowing all our team members to thrive.

This role will be delivering technology enabled outcomes for some of our clients’ most challenging business issues using modern and best in class engineering methodologies. Successful applicants will need to hold or be eligible and willing to attain at least SC level of security clearance. The role is based in Leeds, offering flexible working with 3 days per week in our engineering designed office space.

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 welcome data engineers with experience in cloud environments who are happy to bring their views and experiences into the team and add another dimension to our solutions. We need you to be enthusiastic and inquisitive about new technology with a desire to continuously improve data engineering practices.

 The Engineer would be expected to work as part of a client delivery team, working to the highest technical standards.

KPMG’s Powered Enterprise is the world-class accelerated Enterprise Business Transformation framework for cloud-based solutions that covers all 6 layers of a customer’s Target Operating Model. It supports customers to make better and faster decisions that drives positive business outcomes, reduces implementation effort while improving ROI. It combines our leading business consulting practice, technology capabilities and insights into a complete solution for intelligent enterprises.

The Powered Apps teams are communities of business and technology focussed professionals who work together to deliver KPMG Powered Enterprise through a standardised delivery model. The teams use their functional knowledge and experience (e.g. Finance, Supply Chain, Procurement), technology expertise (S/4HANA, CFin, RISE, BTP, MDG, etc.) and SAP SaaS applications (Ariba, SuccessFactors, etc.) to enable customers run successful business transformation programmes enabled by SAP technology.