Data Engineer

• 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.

Technologies:

• Azure
• CRM
• Support
• Python
• SQL
• Selenium
• Tableau
• Web
• Cloud

More:

We are a long-established manufacturer in the healthcare sector, supplying specialist products used across the NHS and international markets. Our organization is rapidly growing, expanding our digital presence and increasing our analytics maturity. With a strong reputation, modern office space, and a culture that prioritizes trust and development, we offer the chance to build long-lasting relationships across the business while influencing key data capabilities. We embrace a supportive, family-friendly culture where your work directly impacts every team.

• 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.