Senior Quantexa Data Engineer - London / Hybrid
Role details
Job location
Tech stack
Job description
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer), 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.
Requirements
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.