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.

We are seeking talented individuals with experience of SAP S/4HANA across various solution process areas with experience in both advisory and implementation capacities.

This is a high-profile role within the team, requiring strong client delivery skills and experience whilst supporting business development opportunities to grow the practice

KPMG’s Major Projects Advisory (MPA) team works with some of the world’s most demanding organisations, helping to crack some of the biggest challenges in Infrastructure.

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 KPMG Alternatives team provides high-quality and impactful tax advisory and compliance services to the Alternative Investment Fund sector. This includes private equity, hedge funds, credit funds and real estate funds.

Due to our ongoing growth, we have a number of job openings for exceptional candidates. This posting is for a role focussed on Alternative Investment Fund tax and would be well suited to a driven and motivated candidate with experience in the Alternative Investment Fund sector. We would also like to hear from candidates who have experience of working in a tax team within an alternative investment fund.