Azure Data Engineer - HealthTech (Hybrid London)

Azure Data Engineer - HealthTech (Hybrid London)

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Spencer Scott - Technology Recruitment

At a Glance

  • Tasks: Design and build scalable data pipelines for HealthTech projects.
  • Company: Spencer Scott Ltd, a forward-thinking company in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment focused on continuous improvement and operational efficiency.
  • Why this job: Join a dynamic team to make a real impact in the HealthTech sector.
  • Qualifications: Experience with Azure Data Factory and data engineering skills.

The predicted salary is between 50000 - 70000 Β£ per year.

Spencer Scott Ltd in London is seeking an Azure Data Engineer to design, build, and maintain scalable data pipelines and data platforms for HealthTech initiatives. You will work closely with data science and analytics teams to deploy robust, secure data solutions that drive informed decision-making.

The role emphasizes collaboration, continuous improvement, and operational efficiency, with a focus on Azure Data Factory, Databricks, and related technologies to deliver high-quality data products.

Azure Data Engineer - HealthTech (Hybrid London) employer: Spencer Scott - Technology Recruitment

At Spencer Scott Ltd, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer hybrid working options, competitive benefits, and ample opportunities for professional growth within the HealthTech sector, making it a rewarding environment for those passionate about data engineering and impactful healthcare solutions.

Spencer Scott - Technology Recruitment

Contact Details:

Spencer Scott - Technology Recruitment Recruitment Team

We think you need these skills to ace Azure Data Engineer - HealthTech (Hybrid London)

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Data Engineering
Data Pipeline Development