To manage a portfolio of corporate clients within the GMS practice, providing expert technical advice and guidance on global mobility matters, while also contributing to business development activities, team leadership, and operational efficiency...

This exciting role is within our Midlands Indirect tax team, based in our Midlands Offices.

Our clients include UK headquartered businesses and inbound groups across a range of sectors. 

In the Procurement Advisory domain we are recognised as industry leaders by clients and analysts including:

• ALM Vanguard leader in Sourcing and Procurement Consulting
• A Spend Matters 50/50 Provider to Know
• Leader in IDC MarketScape Worldwide Operations Improvement Consulting

At KPMG’s highly successful Management Consultancy and Digital practices, we’re working with our clients to help them understand how technology can drive business performance. As such, we’re looking for outstanding technologists to join us, grow with us, and develop our Procurement Technology delivery capability, driving our strategy through large-scale Procurement transformation. Part of a developing team that will become our ‘go to’ for Procurement Technology, you will play a key role in the growing of our propositions to sell and deliver large programs. You’ll have excellent listening skills, and a proven track record of helping clients reach their desired outcomes. On the technical side, you’ll need a thorough understanding of Procurement technology solutions.

As a Senior Data Engineer, you will lead the technical development of Quantexa-based solutions, bringing deep hands-on experience with data ingestion, transformation, and contextual data modelling. You will collaborate closely with Quantexa Architects, Tech Leads, and client stakeholders to deliver high-quality solutions that address complex business challenges.

You will play a critical role in designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.

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.