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 Powered Apps teams are communities of technology focussed professionals who work together to deliver SaaS ERP based transformation programmes based on KPMG Powered Enterprise. The teams use their functional knowledge and experience (e.g., Finance, HR, Procurement), coupled with their expertise in the cloud applications (e.g. Oracle, Workday, Coupa) to lead and deliver client programmes, to support pre-sales activities and to develop improvement and extensions to the Powered Enterprise model. KPMG are growing their Powered Apps team to meet an ever-increasing demand for our market leading services and are seeking IT management consultants with relevant expertise and experience.

At KPMG, we support clients on their AI transformation journeys to drive profitability while mitigating reputational, operational, and financial risks. Our specialized Data & AI team leverages advanced analytical techniques and industrial-scale AI platforms to accelerate this transformation. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, with a focus on extracting data insights, building AI models, and delivering value through engaging, data-driven stories.

We are looking for seasoned GBS practitioners to join us and help grow our GBS advisory practice in the UK, to shape and articulate the GBS/SSC strategy and value proposition to C-level and VP level clients.

You'll design and develop GBS/SSC shared services operating models for our clients across various corporate functions such as finance, HR, IT, supply chain/logistics, procurement etc including governance and service management capabilities, along with the service catalogues and service level agreements, and apply leading practice end to end process expertise in one or more core finance, HR, IT, supply chain/logistics, procurement or other corporate functions in order to design and implement new re-engineered processes in a Shared Services or Business Process Outsourcing operating model  

KPMG’s Debt Advisory practice has a c.25 year history advising public and private clients on developing and executing debt financing strategies. The team’s typical clients include listed companies, medium to large privately owned businesses and private equity / sponsor-backed entities. Its experience spans the spectrum of debt markets, financing instruments, asset classes, sectors and situations (including M&A, investment, new debt issues, refinancing and restructuring / amendments to debt facilities). The team operates sub-teams focusing on ‘Corporates’ and ‘Leveraged Finance’, in addition to dedicated expertise specialising in financial services and real estate.