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 105 practitioners, working collaboratively with and orchestrating KPMG’s broad set of capabilities within our 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 People in M&A Centre of Excellence deals with all aspects of the employee journey in M&A, as well as leveraging our experience to enact transformational change outside of a deal context. From early-stage strategy development and organisational design for carve-outs, to synergy cases and cost benefits, employee experience and corporate culture, employee transfer, through to the conception, development and management of effective transformational solutions to help an organisation achieve its ambitions and objectives. We work together to develop solutions to the issues our clients may face and understand the financial benefits or risks that may be present from a people perspective. Above all, we are driven by a passion to help our clients execute transactions and transformational change efficiently, maximising value through people and ensuring a smooth people transition.

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.

As an SAP Programme Manager, you will be responsible for managing a portfolio of SAP projects, ensuring successful safe execution, and maintaining strong client relationships. You will lead multi-disciplined teams to drive delivery excellence, leveraging Agile, Waterfall & Hybrid methodologies. Additionally, you will play a key role in business development, commercial proposition creation, and financial & commercial oversight.

People Consulting Manager - Financial Services

Base Location: London CSQ plus network of 20 offices nationally:

www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations

People Consulting Overview:

People Consulting is an integral part of KPMG’s Management Consultancy practice and a growing part of our business. This team help to transform the performance of organisations by changing the way people are led, managed, and developed. We do this by focusing on two key areas – delivering the people agenda on large scale, complex, change programmes and transforming the HR function by technology.

We have four key capabilities:

• HR Transformation
• Learning solutions
• Organisational Transformation
• Workforce Transformation

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