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.

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 welcome data engineers with experience in cloud environments who are happy to bring their views and experiences into the team and add another dimension to our solutions. We need you to be enthusiastic and inquisitive about new technology with a desire to continuously improve data engineering practices.

 The Engineer would be expected to work as part of a client delivery team, working to the highest technical standards.

The Opportunity

This is a chance to build and be part of a new concept at KPMG. We are creating a team to gain access to a new segment of the technology market where there is opportunity for significant growth. We are looking for people to help establish a flexible, start-up culture; drive the best ways of working and ensure we make the most of this opportunity. We will look to our Principle Engineering community to help shape and drive this new business to create a healthy working environment, allowing all our team members to thrive.

This role will be delivering technology enabled outcomes for some of our clients’ most challenging business issues using modern and best in class engineering methodologies. Successful applicants will need to hold or be eligible and willing to attain at least SC level of security clearance. The role is based in Leeds, offering flexible working with 3 days per week in our engineering designed office space.

Responsibilities/ Attributes

• You will be in a client facing role, engaging with C-suite and senior executives to set the vision and then in the delivery and operationalisation of data architecture and technology platforms.
• Translate complex data concepts into compelling, actionable advice for stakeholders.
• A visible practice leader, shaping thought leadership, owning and refining propositions for relevance, and driving go-to-market activities.
• Lead the design and implementation of modern data platforms and architectures, including data Lakehouse, data engineering and advanced analytics ecosystems enabling scale implementation and adoption of Artificial Intelligence (ML, GenAI and Agentic).
• Develop and own end-to-end solution implementations using technologies such as Collibra, Informatica, Databricks, Quantexa, and Microsoft Fabric, ensuring scalability and impact. 
• Build, mentor, and inspire multi-disciplinary teams, fostering a culture of collaboration and innovation across onshore, nearshore and offshore locations.
• Champion delivery: unblock obstacles, step into the details, and deliver quiet confidence that you’ll get things done.