Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Quantexa Data Engineer

KPMG UK
City of London
1 day ago
Create job alert

Senior Quantexa Data Engineer


Base 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:


https://kpmg.com/uk/en/about/offices.html


The 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 clients
  • Hands-on experience of designing and implementing Quantexa solutions for clients.
  • Technical excellence in Scala, Python and Databricks


Skills wed 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 environments


To 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, butWe are open to talk to talent across the country



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.


Find out more:


Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below:


For any additional support in applying, please click the links to find out more:


Related Jobs

View all jobs

Senior Quantexa Data Engineer - Telford

Senior Quantexa Data Engineer

Senior Quantexa Data Engineer

Manager (Quantexa) Snr Data Engineer

Director, Data Architecture & Platforms

Director, Data Architecture & Platforms

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.