Senior Data Engineer

KPMG International Cooperative; Ringway; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading consultancy firm in the UK is seeking a Data Engineer to develop and optimize data ingestion pipelines using Quantexa. This role involves collaborating with teams to design scalable solutions and translate business requirements into efficient data engineering solutions. Ideal candidates will have a degree in a technical field and demonstrable experience in data engineering projects. Flexible working options are available, making this an attractive opportunity for those looking for a balanced work environment.

Qualifications

• Quantexa Technical Certification is required.
• Demonstrable experience leading client data engineering and integration projects.
• Hands-on experience in designing and implementing Quantexa solutions.

Responsibilities

• Develop and optimise data ingestion pipelines using Spark and Scala.
• Configure and implement Quantexa components for specific use cases.
• Collaborate to design scalable and performant Quantexa solutions.
• Translate requirements into production-ready data engineering solutions.
• Support integration of Quantexa into broader enterprise architectures.

Skills

Scala

Python

Databricks

Quantexa Technical Certification

Data governance

Data quality frameworks

Education

Bachelor’s or master’s degree in computer science, Data Engineering, or related technical field

Tools

Spark

Docker

Kubernetes

Jenkins

GitHub Actions

Azure DevOps

Job description

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.

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.
• 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.
  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.
• Bachelor’s or master’s degree in computer science, Data Engineering, or related technical field.
• Disability Confident.

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.

About Disability Confident

A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high‑volume, seasonal and high‑peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to