Sensyne Health is hiring a

Senior Data Engineer

Oxford, United Kingdom
Remote

About Us:

At Sensyne Health we combine technology and ethically sourced patient data to help people everywhere get better care. To do this, we have created a unique partnership with the NHS that delivers a return to our partner Trusts and unlocks the value of clinical data for research while safeguarding patient privacy. Alongside this, we develop clinically validated software applications that create clinician and patient benefit while providing highly curated data. Our products include vital-signs monitoring in hospitals and patient-to-clinician apps to support self-care and remote monitoring of gestational diabetes and chronic diseases such as COPD and heart failure.

We use our proprietary clinical AI technology to analyse ethically sourced, clinically curated, anonymised patient data to solve serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development and post-marketing surveillance.

The Role:

The Senior Data Engineer will provide best practice data engineering support across all Sensyne Health’s departments and customers.

Responsibilities:

  • Lead the way in defining architecture for all data engineering projects
  • Be hands-on, always developing, running and enhancing data pipelines
  • Define and maintain data models
  • Review and analyse data for data quality
  • Implement and maintain best practices for all software engineering
  • Liaise with other departments to meet their data engineering requirements
  • Provide technical leadership and mentor other data engineers

Requirements

Essential:

  • Two or more years’ experience designing, building and running data engineering projects in Azure (using, for example, Data Factory, Event Grid, Azure Storage)
  • Experience of building infrastructure with ARM templates or equivalent
  • Experience of full life-cycle software development
  • Experience operating and supporting complex software products
  • Data analytics skills (SQL, R, Python)
  • Two or more years’ experience developing software, ideally in Python

Desirable:

  • Experience running machine learning algorithms in the cloud (e.g. Azure AutoML)

Personal Qualities:

  • Communication: You are able to discuss technical issues at all levels of the business and provide clear presentations of technical work.
  • Technical: You will be a data geek! One who enjoys seeing value and insight derived from data; you will be a technology and cloud enthusiast, who embraces new ideas and processes, yet keeps a keen eye on delivery and providing value.

Skills and Qualifications:

Advanced IT Knowledge, Critical Thinking, Interpersonal Skills, Technological Analysis, Data Analytics, Big Data, Computational Skills, Excellent Written and Oral Communication Skills, Presentations

Benefits

  • Pension up to 10% employer contribution
  • Employee Assistance Programme with Cash back benefits and discounts
  • Group Life Assurance
  • Group Income Protection
  • Critical Illness Scheme
  • BUPA Health Insurance including partners and children
  • Electric Car Scheme
  • Health Cash Plan
  • Dental Insurance
  • Cycle to Work Scheme
  • Discounted Gym Membership
  • Eye care vouchers
  • Discounted dining