Data Engineer

I’m working with an AI-driven healthcare company who use AI-powered tools and proactive clinical coaching to improve health outcomes, reduce health inequalities, and create a more personalised care experience.

We’re looking for a Data Engineer to support the development and maintenance of healthcare data pipelines and platforms, with a strong emphasis on building robust ETL processes and scalable data architectures.

Key responsibilities:

• Design and implement ETL pipelines for healthcare data using Python, SQL,

and cloud-based tools

• Develop and maintain data infrastructure on Azure including data lakes,

warehouses, and processing frameworks

• Create robust data transformation processes ensuring data quality,

consistency, and security

• Implement orchestration to automate manual workflows such that they are

reliable, repeatable, secure and robust

• Collaborate with Data Science and Clinical teams to understand data

requirements and deliver actionable insights

• Apply security-first practices in all data processing solutions to protect

sensitive patient information

• Contribute to team knowledge through documentation and sharing of data

engineering best practices

• Help maintain compliance with ISO27001 and ISO13485 requirements for

healthcare data management

• Participate in architectural planning to improve overall data infrastructure

and capabilities