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.

Manager - Deal Execution - Integration & Separation

KPMG’s Deal Execution practice is looking for exceptional candidates for a Manager role.

The Deal Execution 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, and are focused on continually enhancing value for clients across the deal and economic cycle. Our teams comprise of specialists capable of helping clients right through from conceptual thinking of buying a business to turning their business around in times of difficulty.

The Deal Execution Advisory Team

KPMG's Deal Execution Advisory Team is a growing and dynamic team. We work with both vendors and acquirers on mergers, acquisitions, divestments, exits and joint ventures, both pre and post-deal.

The team offers four key proposition areas:

Separation: Supporting vendors to plan and deliver a credible, discrete standalone entity to the Buyer with value preserved and business continuity in place from Day 1, including supporting the definition and implementation of transitional service agreements.

Integration: Pre and post deal integration design, planning and implementation to integrate the target business into the Buyer’s organisation whilst mitigating risk and enhancing value.

Synergies: Understanding the potential benefits and costs generated through a proposed transaction, and the associated plans, interdependencies, risks and issues for the delivery of base and stretch case targets.

Joint Ventures: Helping respective partners ensure the key value considerations are identified and prioritised early and delivered through the associated business plan, leveraging each party’s specific contribution and capabilities and managing broader stakeholder relationships.

Roles & Responsibilities              

To be an effective Manager within our Deal Execution applicants will be expected to:

• Build strong, trusted advisor relationships with client counterparts.  Establish role as day to day / key client contact on engagements
• Take day-to-day responsibility for smaller projects and manage significant

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.

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.

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.