Azure Data Engineer

Spencer Scott Ltd — United Kingdom · Posted ~5 hours ago

Mid Full-time

Skills

Azure data engineering data infrastructure data pipelines data systems automation scalable systems secure systems Python AI

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Summary ✨ AI‑Generated

A healthcare-focused technology organization is seeking an Azure Data Engineer to design, develop, and maintain robust data infrastructure. You will support automation and engineering initiatives, build scalable internal and client-facing solutions, and collaborate with data science, analytics, and engineering teams to improve healthcare processes and outcomes.

Highlights

Opportunity to work at the intersection of healthcare, AI, automation, and data, designing scalable and secure infrastructure and collaborating closely with multidisciplinary data science, analytics, and engineering teams.

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. We’re looking for: 3+ years’ Data Engineering experienceStrong SQL & Python skillsAzure experience – particularly Azure Data Factory, Databricks & SQLStrong data modelling experience across relational and analytical dataExperience building ELT data pipelinesGit / Azure DevOps and CI/CD experienceExperience 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. If you are interested in applying for this opportunity and would like to find out more information, please click the apply button and a Spencer Scott Associate will be in touch. 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.