Quantexa Data Engineer - Pipelines & Platform Lead

KPMG LLP; Greater London; Hybrid; 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

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.