At a Glance
- Tasks: Lead the development of innovative Quantexa solutions and optimise data pipelines.
- Company: Join a leading consulting firm with a focus on technology and data innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Quantexa certification and experience in data engineering projects required.
The predicted salary is between 72000 - 88000 £ per year.
About the team
Our Advisory capability brings our Consulting and Deal Advisory businesses together as one team, combining our expertise and talent.
We solve business challenges, helping our clients to realise their growth ambitions, from strategy to transaction and through to transformation.
The mission of Technology and Data (T&D) is to create a future where our clients thrive, our business grows, and our people flourish.
By using our multidisciplinary technical teams, Technology and Data collaborates across Advisory to build integrated solutions and bring end to end propositions to our clients, creating value through technology.
We support clients across a wide range of challenges within a transformation lifecycle - from setting their strategy, ensuring regulatory compliance, through to transformative implementation.
The Data Engineering team supports technical innovation and the adoption of cutting-edge solutions across the UK.
On complex Quantexa engagements, the team is trusted to deliver high-quality technical solutions that matter to KPMG, its clients and local communities.
About the role Job title: Manager - Quantexa Data Engineer Base location: London, with access to KPMG’s network of offices nationally You will lead the technical development of Quantexa-based solutions, bringing deep hands-on capability in data ingestion, transformation and contextual data modelling.
You will collaborate closely with Quantexa Architects, Tech Leads and client stakeholders to deliver 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.
The position will largely be based in London.
Flexible working, home working, flexible hours and part-time options may be discussed with the recruitment team, depending on business and role requirements.
What you’ll be doing Lead the development and optimisation of data ingestion pipelines and transformations within the Quantexa platform using Apache Spark and Scala.
Configure and implement Quantexa components, including Entity Resolution, Scoring and Network Generation, to support defined client use cases.
Collaborate with Tech Leads and Solution Architects to design scalable, 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.
Build trusted relationships with client stakeholders and contribute to high-quality delivery across complex engagements.
Skills, knowledge and experience you’ll need Quantexa Technical Certification is required.
Demonstrable experience leading client data engineering or integration projects for major clients.
Hands-on experience designing and implementing Quantexa solutions for clients, including data ingestion, transformation and contextual data modelling.
Strong technical capability in Scala, Python and Databricks, with practical experience using Apache Spark.
Experience collaborating with technical leads, architects and client stakeholders to deliver scalable, production-ready solutions.
Experience delivering Quantexa solutions in financial services, fraud detection, anti-money laundering (AML) or know your customer (KYC) environments would be valuable.
Exposure to continuous integration and continuous delivery (CI/CD) pipelines, Jenkins, Git Hub Actions or Azure Dev Ops; Docker or Kubernetes; and data governance, quality and security standards would be advantageous.
A bachelor’s or master’s degree in computer science, data engineering or a related technical field would also be beneficial.
Manager- Quantexa Senior Data Engineer in London employer: KPMG UK
As a Director in our Finance Centre of Excellence, you will join a dynamic and collaborative team that thrives on delivering exceptional value to clients in high-stakes environments. We prioritise employee growth through continuous learning opportunities and a supportive culture that encourages innovation and teamwork. Located in a vibrant city, we offer a unique blend of professional challenges and a fulfilling work-life balance, making us an outstanding employer for those seeking to make a meaningful impact in the finance sector.
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