Assistant Manager - Quantexa Data Engineer

KPMG LLP; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

KPMG LLP in London is seeking an Assistant Manager to lead Quantexa-based data engineering engagements. You will design and implement robust data pipelines, perform data ingestion and contextual data modelling, and collaborate with project teams to deliver high-quality Quantexa solutions for financial services clients.

The role requires hands-on experience with Scala, Python, Databricks, and Spark, plus a Quantexa certification. Flexible office options and UK-wide collaboration are available.

Qualifications

• Quantexa technical certification is required.
• Experience delivering Quantexa solutions for clients.
• Hands-on data engineering with ingestion, transformation and modeling.

Responsibilities

• Develop and optimise data ingestion pipelines on the Quantexa platform.
• Configure Quantexa components (Entity Resolution, Scoring, Network Generation).
• Collaborate with senior engineers to design scalable Quantexa solutions.
• Translate business requirements into production-ready pipelines.
• Support integration of Quantexa into broader enterprise data architectures.

Skills

Quantexa platform

Scala

Python

Databricks

Spark

Certification

CI/CD

DevOps

Docker

Kubernetes

Education

Bachelor's or Master's in CS/Data Engineering

Tools

Jenkins

GitHub Actions

Azure DevOps

Job description

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Assistant Manager - Quantexa Data Engineer

Location:

London

Job Title: Assistant Manager -Quantexa Data Engineer

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 – supporting 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.

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

As a Data Engineer, you will implement 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 project team, Tech Leads, and client stakeholders to implement/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.

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 Senior Data Engineers, 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 good experience in client data engineering OR Integration projects for major clients
• Hands-on experience of designing and implementing Quantexa solutions for clients.
• Technical excellence in Scala, Python 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.
• 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.

Note: The paragraph above initially contained an instruction for applicants which has been removed for refinement.

Our Locations:

We are open to talk to talent across the country but our core Tech hubs for this role are:

• Birmingham
• Leeds
• London Canary Wharf
• 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.

Find out more:

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