At a Glance
- Tasks: Own data engineering and develop core data pipelines in a rapidly scaling business.
- Company: Established healthcare manufacturer with a supportive, family-friendly culture.
- Benefits: Competitive salary, hybrid working, and opportunities for personal development.
- Other info: Join a dynamic team focused on collaboration and innovation.
- Why this job: Make a real impact on data capabilities while building lasting relationships.
- Qualifications: Experience with Azure, Python, SQL, and data pipeline management.
The predicted salary is between 40000 - 50000 £ per year.
An opportunity to join a growing data function and take ownership of data engineering in a business that is scaling rapidly. You will work in a supportive, family-friendly culture where your work has a direct impact on every team, and where stability, collaboration, and autonomy are genuinely valued.
THE COMPANY
They are a long-established manufacturer within the healthcare sector, supplying specialist products used across the NHS and international markets. The organisation is growing quickly, expanding its digital presence, and increasing its analytics maturity. With a strong reputation, modern office space, and a culture that prioritises trust and development, they offer the chance to build long-lasting relationships across the business while influencing key data capabilities.
THE ROLE
As a Data Engineer, you can expect to be involved in the following:
- Maintain and develop core data pipelines across Azure.
- Manage nightly data transfers from a legacy system into Azure SQL.
- Build and support integrations for CRM data, NHS datasets, Google Analytics, and international reporting feeds.
- Carry out web scraping using Python and Selenium to support product and patient insight work.
- Improve data architecture and help remove duplicated datasets.
- Create and maintain APIs and new pipelines as the business scales.
SKILLS AND EXPERIENCE
The successful Data Engineer will have the following skills and experience:
- Strong commercial experience with Azure, Python, and SQL.
- Proven ability to build and maintain data pipelines.
- Experience working with APIs and integrating multiple data sources.
- Confidence working with legacy systems and non‑modernised environments.
- Knowledge of web scraping techniques.
- Experience with Tableau, Apache, or digital analytics tools is beneficial but not essential.
BENEFITS
The successful Data Engineer will receive the following benefits:
- Salary between £40,000 - £50,000 - depending on experience.
- Hybrid working - 3 days a week in office.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Data Engineer employer: Harnham Search & Selection
Join a dynamic and supportive team within a well-established healthcare manufacturer, where your role as a Data Engineer will directly influence the company's growth and digital transformation. Enjoy a family-friendly culture that values collaboration, autonomy, and professional development, all while working in a modern office environment that fosters strong relationships across teams. With competitive salary packages and hybrid working options, this is an excellent opportunity for those seeking meaningful and rewarding employment in a rapidly scaling business.
Contact Details:
Harnham Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
