Vacancies

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Experienced Professional

Manager - Actuarial Life 1 1

Location: Multiple locations

Service Line: Entrprse Risk Svs

Experienced Professional

EPM Assistant Manager (SAC - Sap Analytics Cloud)

Location: London

Service Line: Corp Svs& People

Experienced Professional

Lead Azure Data Consultant

Location: Multiple locations

Service Line: Technology & Data

Manager - Actuarial Life 1 1

Location: Bristol, Edinburgh & Other locations

Capability: Advisory

Service line: Entrprse Risk Svs

Experience level: Manager

Employment type: Full Time

Contract type: Permanent

Qualified Actuarial Consultants - Life

Base Location: London, Manchester, Bristol 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 colleagues.

EPM Assistant Manager (SAC - Sap Analytics Cloud)

Location: London

Capability: Advisory

Service line: Corp Svs& People

Experience level: Associate/Assistant Manager

Employment type: Full Time

Contract type: Permanent

The KPMG EPM capability within our Consulting business specialises in transforming end-to-end planning, forecasting, and consolidation processes through leading technology solutions. We are business integrators who, using our industry-leading methodologies, help clients accelerate their transformations and reduce the time and effort required to accurately predict and report business performance. This is enabled by harnessing advanced analytical techniques, technology, and centres of excellence that all contribute to better, faster decisions.

Our SAP Analytics Cloud (SAC) Practice is a strategic area for growth. We are looking for an experienced SAC professional to join our team to design and deliver solutions that help our clients achieve step changes in performance, productivity, and profitability

Lead Azure Data Consultant

Location: Aberdeen, Birmingham & Other locations

Capability: Advisory

Service line: Technology & Data

Experience level: Manager

Employment type: Full Time or Part Time

Contract type: Permanent

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.