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Azure Data Engineer


Homebased/Milton Keynes 


Graphnet Health are seeking a permanent Azure Data Engineer as part of our growing Population Health Analytics function. The Azure Data Engineer will work within our Data Science and Research team supporting the development of Trustworthy Research Environments and implementation of data science solutions. The person will be required to be responsible for building and maintaining a cloud-based service platform for health data analytic purposes. The role will work closely with other teams within Graphnet to integrate Data Science as decision support for clinicians and patients. We are seeking individuals with the enthusiasm and aptitude to providing solutions to complex problems. This includes the identification of new technologies we can utilise coupled with the ability to quickly gain new skills to support rapid implementation.

Our Population Health Analytics team is supporting a wide range of regional and national projects to improving the health of the population. The current worldwide COVID-19 crisis has proved that utilising timely data and insight can help save lives. Our team has been in the thick of things developing analytics solutions to help manage the crisis such as the national immunisation system. Our team are highly experienced and passionate about health and care; using technology to help improve the health and care of the nation. This role provides the successful candidate the chance to contribute to Population Health Analytics programmes throughout the country.

Duties & Responsibilities: 

Key responsibilities: 

  • Creation of Population Health Analytics software using the Microsoft Azure cloud toolkit
  • Designing, Developing and Deploying data pipelines
  • Maintenance of ETL processes using Azure Data Factory
  • Programming in Python and using SQL to query databases
  • Collaborating with data scientists to apply models in the software
  • Collaborating with leading academic institutions

Education, Experience & Skills: 

Experience (Required) 

  • Advanced knowledge of Python and SQL
  • ETL development using Azure Data Factory
  • Hands on practical experience of using Docker and Kubernetes
  • Experience of architectural design of data pipeline

Experience (Desirable) 

  • Experience of using Microsoft Azure Kubernetes Service, Azure Devops
  • Healthcare domain experience
  • Experience of working with customers to apply Data Science as a solution to a problem
  • Completion of a Health Data Science project from concept to live use

Qualifications (Required) 

  • A Bachelor’s Degree in Computer Science or a related field of study, or equivalent experience

Personal attributes:

  • Passion about your craft and love of sharing knowledge
  • Able to demonstrate a dynamic and enthusiastic approach to data engineering
  • Ability to work through problems and implement robust solutions quickly and independently
  • Strong inter-personal and communication skills
  • Aptitude to quickly grasp new concepts and information
  • Ability to use a varied set of technical platforms and components to deliver versatile and robust software
  • Pro-activeness and confidence in making decisions
  • Positively influence fellow team members


Please apply in writing, sending a covering letter & CV to

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