Manager; Quantexa Snr Data Engineer

Job Title/Req Number: (Quantexa) Snr Data Engineer(107841) Base

Location:

London plus network of 20 offices nationally The KPMG Data Engineering function is a cornerstone of our business.

We do work that matters to our local business and communities. We support technical innovation and adoption of cutting‑edge solutions across the UK. Working on complex engagements in Quantexa solutions, this team is responsible for the delivery of cutting‑edge technical solutions and trusted to get it right first time.

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.

• Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala.
• Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases.
• Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions.
• Translate business and technical requirements into efficient, production‑ready data engineering solutions.
• Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and Dev Ops teams.

• Quantexa Technical Certification is required.
• Demonstrable experience in leading client data engineering and integration projects for major clients.
• Hands‑on experience of designing and implementing Quantexa solutions for clients.
• Technical excellence in Scala, Python and Databricks.
• Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains.
• Exposure to Dev Ops and CI/CD pipelines, including tools such as Jenkins, Git Hub Actions, or Azure Dev Ops.
• Familiarity with containerisation technologies like Docker and Kubernetes.
• Understanding of data governance, data quality frameworks, and enterprise data security standards.
• Bachelor’s or master’s degree in computer science, Data Engineering, or related technical field.

To discuss this or wider Technology roles with our recruitment team, apply, create a profile, upload your CV and begin to make your mark with KPMG. Our core Tech hubs for this role are Birmingham, Leeds, London Canary Wharf, and Manchester. This position will largely be based from London.

With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part‑time options. If you have a need for flexibility, please register and discuss this with our team.

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