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Noir Consulting

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Senior Quantexa Data Engineer – London / Hybrid

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Summary

Designs and builds Quantexa-based data pipelines and configures Quantexa components for client engagements, leading data engineering initiatives at a consultancy. Day to day involves developing performant data workflows with Spark, Scala, and Python on Databricks, plus supporting CI/CD and DevOps for data solutions.

Overview

In this role you design and implement Quantexa-based data pipelines and configure components to support client engagements. You lead data engineering initiatives for established clients, collaborating with cross-functional teams to ensure robust, scalable solutions. You apply Spark, Scala, and Python Databricks to deliver performant data workflows and integrate Quantexa components. This is a development-focused opportunity at a prestigious, training-driven firm with strong career progression.

Pay / Benefits
  • Car
  • Pension
  • Benefits
  • Training and career development
  • Hybrid London
  • Competitive salary
Responsibilities
  • Design and build robust data pipelines using Quantexa
  • Configure and integrate Quantexa components within client projects
  • Lead data engineering or integration initiatives for clients
  • Develop with Spark, Scala and Python Databricks
  • Support CI/CD and DevOps activities related to data solutions
  • Collaborate with cross-functional teams and stakeholders
  • Contribute to project success and delivery for client engagements
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
  • leadership
  • client-facing communication
  • problem-solving
  • Quantexa
  • Spark
  • Scala

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →

See also

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