Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and manage Azure data pipelines for healthcare analytics and reporting.
- Company: Join a leading healthcare client in London, focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and additional perks.
- Why this job: Make a real impact in healthcare while collaborating with talented professionals.
- Qualifications: Experience as a Data Engineer with skills in Azure Data Factory, SQL, and Python required.
- Other info: Permanent position with a flexible work environment.
The predicted salary is between 48000 - 84000 £ per year.
Location: London, UK (Hybrid - 2-3 days in office)
Job Type: Permanent
Salary: £60k + Benefits
We are hiring a Data Engineer to join our healthcare client in London. This is a permanent role with a hybrid working pattern (2-3 days in-office). You will build and manage Azure-based data pipelines that support analytics, reporting, and operational systems across clinical and business functions.
- Develop and maintain Azure data pipelines (Data Factory, Synapse, Databricks)
- Integrate, transform, and manage healthcare data (structured/unstructured)
- Ensure data quality, security, and compliance (GDPR, healthcare regulations)
- Support data lake/warehouse solutions and real-time data needs
- Collaborate with analysts, engineers and stakeholders on data solutions
Experience as a Data Engineer
Strong skills in Azure Data Factory, Synapse, Databricks, SQL, Python
Azure Data Engineer SQL - Hybrid Working employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer SQL - Hybrid Working
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory, Synapse, and Databricks. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the healthcare data engineering field. Attend industry meetups or webinars focused on Azure and healthcare data solutions. This can help you gain insights into the role and potentially connect you with someone who can refer you to our openings.
✨Tip Number 3
Stay updated on the latest trends and regulations in healthcare data management, especially GDPR compliance. Being knowledgeable about these topics will not only prepare you for interviews but also demonstrate your commitment to the role.
✨Tip Number 4
Prepare for technical interviews by practising SQL queries and Python coding challenges. You can find resources online that focus specifically on data engineering problems, which will help you feel more confident during the interview process.
We think you need these skills to ace Azure Data Engineer SQL - Hybrid Working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly with Azure Data Factory, Synapse, and Databricks. Use specific examples of projects where you've built and managed data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for healthcare data solutions. Mention how your skills in SQL and Python can contribute to the company's goals, and demonstrate your understanding of GDPR and healthcare regulations.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work on data quality and compliance.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Synapse, and Databricks. Bring examples of projects where you've built data pipelines or managed healthcare data, as this will demonstrate your hands-on expertise.
✨Understand Healthcare Regulations
Familiarise yourself with GDPR and other healthcare regulations relevant to data management. Being able to articulate how you ensure data quality, security, and compliance will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data integration and transformation.
✨Emphasise Collaboration Skills
Since the role involves working with analysts, engineers, and stakeholders, be ready to discuss your teamwork experiences. Highlight instances where you successfully collaborated on data solutions and how you communicated complex ideas effectively.
