Senior Quantexa Data Engineer – London / Hybrid

Overview

In this role you will design and implement robust Quantexa-based data solutions for high-profile clients, leading technical development and data engineering projects. You will work within a globally recognized technology brand that prioritizes training and career growth, contributing to successful client engagements and scalable data pipelines. The position combines hands-on data engineering with client leadership, offering exposure to modern tech like Spark, Scala, Python, and Databricks in a hybrid London setting.

Pay / Benefits

• Car
• Pension
• Benefits

Responsibilities

• Design and build robust data pipelines using Quantexa components
• Configure and tune Quantexa solutions for client deployments
• Lead technical development and drive delivery on client engagements
• Coordinate with cross-functional teams to ensure successful data integration
• Mentor junior engineers and contribute to best practices in data engineering
• Support DevOps/CI-CD processes to enable reliable deployments

Key requirements

• Certified Senior Quantexa Data Engineer
• Significant experience designing and implementing Quantexa solutions
• Experience leading client data engineering or integration projects
• Strong knowledge of Spark, Scala and Python Databricks
• Familiarity with DevOps and CI/CD tools (beneficial)
• Knowledge of Docker and Kubernetes (beneficial)

• leadership
• client-facing communication
• problem solving
• Quantexa
• Spark
• Scala

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