Azure Data Engineer - Hybrid London HealthTech AI Automation

Spencer Scott - Technology Recruitment; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Bonus scheme (generous)

Pension 14%

Flexible hours

Training fund

Life Assurance

Private Medical Insurance

Volunteering

Electric Car Scheme

Job summary

Spencer Scott Ltd is recruiting an Azure Data Engineer for a London-based HealthTech company advancing healthcare with AI and data-driven solutions. You will design, build, and maintain data infrastructure, working with data science, analytics and engineering teams to ensure robust, scalable data systems and secure data handling.

You will contribute to automation initiatives, building tools to streamline manual tasks, and collaborate across multidisciplinary teams to improve delivery quality,

Qualifications

• 3+ years Data Engineering experience.
• Strong data modelling across relational and analytical data.
• Experience building ELT data pipelines.
• Experience designing scalable infrastructure and automating data processes.
• Healthcare/Life Sciences data experience is highly desirable.

Responsibilities

• Design, develop, and maintain data infrastructure for healthcare AI/automation initiatives.
• Collaborate with data science, analytics, and engineering teams to ensure robust, scalable data systems.
• Develop automation tools to streamline manual and repetitive tasks.
• Improve delivery quality, productivity, and cost efficiency across the team.

Skills

Data Engineering

Data Modelling

ELT Pipelines

Git/Azure DevOps

CI/CD

Tools

Azure DevOps

Job description

Spencer Scott Ltd is recruiting an Azure Data Engineer for a London-based HealthTech company advancing healthcare with AI and data-driven solutions. You will design, build, and maintain data infrastructure, working with data science, analytics and engineering teams to ensure robust, scalable data systems and secure data handling.

You will contribute to automation initiatives, building tools to streamline manual tasks, and collaborate across multidisciplinary teams to improve delivery quality,