KPMG’s Strategy & Performance Transformation practice is looking for exceptional candidates for a Director role.  The role will focus on Deal Strategy within the Media industry as part of the wider Telecommunications-Media-Technology sector, but with scope to work on the wider range of services including Growth Strategy, Deal Strategy, Cost and Operational strategy (including Economic Profitability Analysis) and Enterprise-wide Transformation.

The Strategy & Performance Transformation team is part of KPMG’s rapidly expanding Strategy Group, which delivers value for clients by challenging conventional thinking, bringing deep industry and functional insights and executing with investor-grade rigour.  We are a diverse team of over 150  practitioners, working collaboratively with and orchestrating KPMG’s broad set of capabilities within our Deal Advisory business.

KPMG’s Turnaround team is the first line of response to opportunities arising from financial stress and distress. 
These situations require multi-capability teams to deliver a full client solution, where bringing the best of KPMG to clients is key to winning work. 

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.

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.

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.