Senior Data Engineer

Career Choices Dewis Gyrfa Ltd; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading professional services firm in the UK is seeking a Senior Data Engineer to lead the technical development of Quantexa-based solutions. This role requires hands-on experience with data ingestion, transformation, and contextual data modelling. The successful candidate will work closely with architects and clients to design and implement robust data pipelines and integrate Quantexa into enterprise architectures. Competitive flexibility in work arrangements including office and remote options will be supported.

Benefits

Flexible working hours

Part-time options

Work from home

Qualifications

• Quantexa Technical Certification is required.
• Demonstrable experience in leading client data engineering and integration projects.
• Hands-on experience of designing and implementing Quantexa solutions.
• Experience in Financial Services, Fraud Detection, AML, or KYC domains.

Responsibilities

• Develop and optimise data ingestion pipelines using Spark and Scala.
• Configure and implement Quantexa components for specific use cases.
• Collaborate with Tech Leads to design scalable Quantexa solutions.
• Support the integration of Quantexa into enterprise data architectures.

Skills

Quantexa Technical Certification

Technical excellence in Scala

Technical excellence in Python

Experience with Databricks

Experience in Financial Services

Exposure to DevOps

Familiarity with Docker

Familiarity with Kubernetes

Understanding of data governance

Education

Bachelor's or master's degree in computer science

Degree in Data Engineering or related technical field

Tools

Spark

Jenkins

GitHub Actions

Azure DevOps

Job description

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.

Why Join KPMG

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.

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.
• 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.

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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