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 hands-on data engineering and best practice 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

Essential:

• Experience designing, building and running data engineering projects in Azure (using, for example, Data Factory, Event Grid, Azure Storage)
• Experience of automating pipelines and container orchestration with AKS, App Service, service fabric, etc.
• Experience of building infrastructure with ARM templates or equivalent
• Experience of full life-cycle software development, to include AGILE, git, CI/CD
• Experience operating and supporting complex software products
• Experience developing software, ideally in Python
• Data analytics skills and experience with SQL, R, and Python
• Knowledge, exposure and experience with Numpy, Pandas, Dask, Modin, Ray, Tidyverse, d(b)plyr
• Solid understanding of *NIX OS, it’s concepts and microservices
• Experience building self-service tooling and workflows for Machine Learning and Analytics users
• Knowledge, experience and strong leadership opinions of specific tooling (Hadoop, Kafka, Spark) to support technical architecture choices

Desirable:

• Familiarity and experience with Medical data
• 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 Azure Knowledge, Critical Thinking, Interpersonal Skills, Technological Analysis, Data Analytics, Big Data, Computational Skills, Excellent Written, Oral and Presentation Communication Skills

• Company share option scheme
• 5% employer matched salary sacrifice Pension scheme
• Life Assurance & Income protection
• A range of health, wealth and lifestyle benefit plans including BUPA, Gym and holiday trade options
• Electric Vehicles & Cycle to work schemes
• Proactive career development planning