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# Azure Data Engineer

- **Company:** Spencer Scott Limited
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, Data Systems, Python (Programming Language), Standard Sql, Azure Data Factory, Git, Data Pipelines, Databricks
- **Published:** October 10, 2026
- **Apply:** http://www.spencerscott.london/jobs/samazuredata

## About the Role

Experience within HealthTech or Life Sciences markets?, * 3+ years' Data Engineering experience

 * Strong SQL & Python skills
 * Azure experience - particularly Azure Data Factory, Databricks & SQL
 * 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.

## Description

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.