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.

Qualified Actuarial Consultants - Life

Base Location: London, Manchester and Edinburgh plus network of 20 offices nationally:

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

The KPMG Actuarial Consulting function is a cornerstone of our business. Operating from our major UK offices we do work that matters, serving the country with diligence and expertise.

KPMG is one of the world's largest and most respected consultancies. We've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is.

By encompassing a wide range of disciplines across a breadth of areas such as Customer Experience & Digital, Strategy, Forensic, Risk & Regulatory, People and Talent, and Operational & Financial Transformation, through to Cyber and Technology. We do that by immersing ourselves in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes.

As a Qualified Actuarial Consultant at KPMG you take a lead delivery role, managing small teams across a wide range of client projects such as IFRS 17 impact assessments and implementations, finance transformations, companies mergers and acquisitions, providing advice on capital models or supporting our own Audit colleagu

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

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.