Data Engineer

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

Benefits offered by this job

Generous Bonus Scheme

14% Pension

Flexible hours

Training Fund

Life Assurance

Private Medical Insurance

Volunteering

Electric Car Scheme

Job summary

Spencer Scott Ltd is recruiting for a London-based HealthTech company to hire an Azure Data Engineer. You will design, build, and maintain data infrastructure, collaborating with data science and analytics teams to deliver robust, scalable solutions.

Hybrid role with on-site work two days per week in Central London. The role supports AI, automation and data-driven healthcare projects, emphasising security, data quality and operational efficiency.

Qualifications

• 3+ years of data engineering experience in a healthtech or data-driven domain.
• Strong data modelling across relational and analytical data stores.
• Experience building ELT pipelines and scalable data infrastructure.

Responsibilities

• Design, develop and maintain the data infrastructure to support analytics and AI initiatives.
• Collaborate with data science, analytics and engineering teams to ensure robust, scalable and secure data systems.
• Contribute to automation tools and processes to improve delivery quality and efficiency.

Skills

Data engineering

Data modelling

ELT pipelines

Git

Azure DevOps

CI/CD

Scalable infra

Job description

Azure Data Engineers wanted by a London based HealthTech company at the forefront of revolutionising healthcare through cutting-edge AI / Automation technology and data-driven solutions.

Their mission is to improve patient outcomes and streamline healthcare processes by leveraging the power of data. As an Azure Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. Working closely with data science, analytics and engineering teams to ensure that data systems are robust, scalable and secure.

In this role, you will contribute to a broad portfolio of automation and engineering initiatives that support both client-facing projects and the creation of scalable internal solutions. Working collaboratively with multidisciplinary teams, you will design, build, and enhance automation tools that streamline manual and repetitive tasks.

The position combines practical engineering expertise with a focus on continuous improvement, innovation, and operational efficiency. By developing reliable, user-friendly, and effective solutions, you will help improve delivery quality, increase productivity, and reduce costs across the team.

• 3+ years’ Data Engineering experience


• Strong data modelling experience across relational and analytical data


• Experience building ELT data pipelines


• Git / Azure DevOps and CI/CD experience


• Experience designing scalable infrastructure and automating data processes

Healthcare / Life Sciences experience is highly desirable, particularly experience working with sensitive or real-world health data.

Package:

• Generous Bonus Scheme


• 14% Pension


• Flexible hours


• Training Fund


• Life Assurance


• Private Medical Insurance


• Volunteering


• Electric Car Scheme..

Working on a hybrid model, the team goes on-site 2 days a week in the modern Central London hub. Your colleagues will also be on-site, so there is some meaning, collaboration and meaning. It will be a 2 stage interview process, which has been designed to be as quick and pain free as possible.

Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating inclusive working environments for all our clients.