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Noir Consulting

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Senior Quantexa Data Engineer – London / Hybrid

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Summary

Senior data engineer designing and implementing Quantexa-based data pipelines and configuring/tuning Quantexa components for client engagements, working hands-on with Spark, Scala, and Python Databricks with some DevOps/CI-CD. Hybrid role based in London, leading client data engineering initiatives.

Overview

In this role you will design and implement robust Quantexa-based data pipelines and configuration of Quantexa components to support client engagements. You will lead data engineering projects for established clients within a global technology-focused environment. The role emphasizes hands-on data engineering with Spark, Scala and Python Databricks, and appreciation for DevOps/CI/CD practices. You’ll join a prestigious brand that heavily invests in training and career progression.

Pay / Benefits
  • Car
  • Pension
  • Benefits
  • Hybrid work
  • Training opportunities
Responsibilities
  • Design and implement robust data pipelines for Quantexa-based solutions
  • Configure and tune Quantexa components for client projects
  • Lead client data engineering or integration initiatives
  • Support project delivery and cross-functional collaboration to ensure success
Key requirements
  • Certified Senior Quantexa Data Engineer
  • significant experience leading Quantexa-based solutions
  • strong knowledge of Spark, Scala and Python Databricks
  • experience with DevOps/CI/CD tools is a plus
  • leadership
  • stakeholder management
  • strong communication
  • Quantexa
  • Spark
  • Scala

Skills

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

Data Engineering jobs by country — openings, pay and top skills →

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