Data Engineer - HealthTech

£80,000 - £95,000 + Benefits + Bonus | Remote


An exciting opportunity to join one of Europe’s fastest growing health tech startups as an Application/ Solution Architect. The firm’s vision is to empower people to live their best lives, in their own home, through the use of technology, professional care and support. Joining the HealthTech, you are contributing to making this vision a reality. The work you do promotes the dignity, respect, independence and choice of service users, enabling you to make a real difference.

The firm are changing the way people receive care by empowering our professional carers with insight and improved decision making. They believe technology can enable carers to do what they do best, care.


Data has a critical role to play in two distinct areas. First, data about operations, covering everything from hiring carers to the delivery of care, helps to observe and understand how the firm is performing, what is working and what they could do to better deliver care. Second, data about service users health, covering everything from their conditions to the health outcomes resulting from those conditions, helps us to observe and understand their experience but more importantly, it helps to predict and prevent health deteriorations for those in the firms care.


As a Senior Data Engineer in the Data Platform Team, You’ll contribute to the firms mission by ensuring that if there exists data that helps improve the delivery of care or the health of their service users, that they can create or acquire it and make it easy to consume by people or as product features as needed to realise it’s value. This role has the opportunity to progress into a Lead Data Engineering role on the establishing of processes and practices within the team.

You’ll work with software engineers and system owners to understand and document where and how data is created, influencing upstream to ensure quality and integrity at source where possible. You’ll engineer pipelines to collect and protect data from multiple sources (e.g. Relational and non-relational data stores, APIs, Google Drive, event delivery pipelines), into a single persistent storage solution that enables everything from simple reporting to ML-backed products


      • Mastery of SQL with 5+ years experience developing data pipelines in a cloud based database environment (e.g.BigQuery), including scheduling your own queries (e.g. using Airflow or Stitch)
      • 3+ years experience delivering data products in a modern BI technology (ideally Looker) or open source data frameworks (e.g. streamlit)
      • Experience using programming languages (e.g. Python, Scala) to build effective data architecture, streamline data processing, and improve data efficiency via automation.
      • Experience working collaboratively with data analysts, data scientists, business managers and product managers to establish their needs and convert to structured data needs