At a Glance
- Tasks: Develop and optimise data pipelines using Quantexa, Spark, and Scala.
- Company: Join KPMG, a leading consultancy with a strong commitment to innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with potential for remote work and flexible hours.
- Why this job: Make a real impact by delivering cutting-edge data solutions for major clients.
- Qualifications: Experience in data engineering and Quantexa solutions is essential.
The predicted salary is between 60000 - 80000 £ per year.
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.
Responsibilities- 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.
Quantexa Technical Certification is required. 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.
Qualifications- Demonstrable experience in leading 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.
- Bachelor's or master's degree in computer science, Data Engineering, or related technical field.
- 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.
Data Engineer -Quantexa in Bristol employer: KPMG International Cooperative
KPMG is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the Data Engineering function. With flexible working arrangements and a commitment to employee growth through technical training and diverse project opportunities, KPMG empowers its team members to make a meaningful impact in their local communities while working with cutting-edge technologies like Quantexa. Join us to be part of a respected consultancy that values your contributions and supports your professional journey.
Contact Details:
KPMG International Cooperative Recruitment Team
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