Senior Quantexa Data Engineer (Hybrid, London)

About the role

We are seeking a Senior Quantexa Data Engineer to join a global technology leader. Working in a hybrid model from London, you will lead the technical development of Quantexa‑based solutions, designing and delivering high‑performance data pipelines for our clients.

Key responsibilities

• Design, build and optimise data pipelines using Spark, Scala and Python on Databricks.
• Configure and integrate Quantexa components into client environments.
• Lead technical delivery for client engagements, ensuring solution quality and timelines.
• Collaborate with DevOps teams to implement CI/CD pipelines using tools such as Jenkins, GitHub Actions or Azure DevOps.
• Support containerisation and orchestration initiatives with Docker and Kubernetes.

Required profile

• Significant experience delivering Quantexa solutions for enterprise clients.
• Strong background in data engineering, preferably with a focus on Spark, Scala and Python.
• Demonstrated ability to lead technical projects and mentor junior engineers.
• Certified Senior Quantexa Data Engineer (or equivalent experience).

Required skills

• Quantexa
• Apache Spark
• Scala
• Python
• Databricks
• DevOps
• CI/CD pipelines
• Jenkins
• GitHub Actions
• Azure DevOps
• Docker
• Kubernetes

What we offer

• Competitive salary £60,000‑£80,000 per year.
• Company car, pension scheme and additional benefits.
• Strong focus on training, career development and unlimited progression for high performers.