Job Title

Senior Quantexa Data EngineerBase Location: London, Canary Wharf or could be based at any one of our network of 20 offices nationally, but will require travel to client sites throughout the UK: KPMG Technology + Data function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting-edge solutions across the United Kingdom. Working on complex engagements including working closely with clients to design, implement, and manage scalable data solutions, this team is responsible for the delivery of cutting-edge technical solutions and trusted to get it right first time.KPMG is one of the world's largest and most respected consultancy businesses, 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.Why Join KPMG Data in our Quantexa Engineering team:Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with Quantexa, which plays a key role in helping organisations unlock insights through entity resolution, network analytics, and contextual decision intelligence.We are seeking a Senior Data Engineer - Quantexa to join our Quantexa delivery team. This role offers the opportunity to work on large-scale data engineering solutions for our major clients using the Quantexa platform, contribute to architecture design, and lead development efforts within cross-functional agile teams. What will you be doing?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 DevOps teams.What will you need to do it? Quantexa Technical Certification is required.Demonstrable experience in leading client data engineering and integration projects for major clientsHands-on experience of designing and implementing Quantexa solutions for clients.Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras:Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains.Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps.Familiarity with containerisation technologies like Docker and Kubernetes.Experience across multi cloud environmentsTo discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.Our Locations:The preferred location for this role would be London, Canary Wharf, but We are open to talk to talent across the countryWith 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.Find out more:Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below:Technology and Engineering at KPMG: Her Future Women in Tech programme: Workability and Disability confidence: any additional support in applying, please click the links to find out more:Applying to KPMG: for interview: values: Competencies: Locations and FAQ: