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Noir is seeking a Senior Quantexa Data Engineer for London with hybrid work options. You will design and implement Quantexa-based data pipelines, configure components, and support client engagements, leading data engineering initiatives for established clients. The role requires strong Spark, Scala, and Python Databricks skills, plus familiarity with DevOps and CI/CD tooling.
London/Hybrid. We welcome data engineers from diverse backgrounds and offer extensive training and career development
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients.
The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.
We are keen to hear from talented Quantexa Data Engineers from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: London / Hybrid