Data Engineer

Spencer Scott - Technology Recruitment; Greater London; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Bonus scheme

14% Pension

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 HealthTech company pushing AI and automation in healthcare data. You will design, build and maintain data pipelines and infrastructure, collaborating with data science and analytics teams to ensure secure, scalable data solutions.

The role emphasizes automation, efficiency, and delivering reliable data platforms to support both client projects and internal initiatives. Hybrid model with on-site two days per week.

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain data infrastructure and automation tools.
• Collaborate with data science, analytics and engineering teams to ensure robust, scalable and secure data systems.
• Contribute to a portfolio of automation and engineering initiatives supporting client projects and internal solutions.

Skills

Data engineering

Data modelling

ELT pipelines

Git & CI/CD

Scalable data infra

Tools

Azure DevOps

Job description

Experience within HealthTech or Life Sciences markets?

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.