At a Glance
- Tasks: Design and implement robust data pipelines using Quantexa solutions.
- Company: Join a global tech innovator with a prestigious brand.
- Benefits: Competitive salary, hybrid work, and training opportunities.
- Other info: Dynamic environment with excellent career growth and support.
- Why this job: Lead exciting projects and make a real impact in data engineering.
- Qualifications: Experience with Spark, Scala, Python, and data engineering.
The predicted salary is between 60000 - 65000 Β£ per year.
Senior Quantexa Data Engineer - Birmingham / Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, Dev Ops, CI/CD pipelines, Jenkins, Git Hub Actions, Azure Dev Ops, 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.
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 Dev Ops and CI/CD pipelines, Jenkins, Git Hub Actions, or Azure Dev Ops 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 won...
Senior Quantexa Data Engineer - Birmingham / Hybrid employer: Noir
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