Job Description
Data Engineer
Hybrid: Birmingham
Salary: £45000 to £50000.
This is an exciting opportunity to step into a hands on Data Engineer role within an analytics team that is growing in both scope and influence. You will play a key part in stabilising and evolving a broad data environment while supporting a business that is increasing its digital footprint and analytical maturity.
The Company
They are an established manufacturer in the healthcare space with a strong reputation for product quality, research, and customer care. The organisation is scaling quickly, expanding internationally, and investing in data as a core enabler for decision making. The culture is collaborative and people focused, with a close knit feel, modern office space, and regular exposure to senior leadership. Their analytics function partners with sales, marketing, operations, and quality teams to provide insight across the business.
The Role
• Maintain and enhance core data pipelines across Azure.
• Manage nightly data ingestion from legacy operational systems into Azure SQL.
• Build and maintain integrations for CRM, NHS datasets, Google Analytics, and distributor reporting.
• Conduct web scraping using Python to support customer and market insight.
• Improve data architecture, addressing duplicated, inconsistent, or ad hoc datasets.
• Support analysts by ensuring reliable access to clean, accurate data.
• Work closely with IT on infrastructure and large data assets.
• Produce reporting inputs for sales, marketing, production planning, and quality teams.
• Build dashboards and support insight generation for stakeholders across the business.
Your Skills and Experience
• Strong commercial experience with Azure, Python and SQL.
• Confident managing and maintaining data pipelines in a production environment.
• Comfortable working with APIs and integrating third party data sources.
• Able to work hands on from day one and adapt within a mixed modern and legacy environment.
• Experience with any of the following is beneficial: Tableau, web scraping, CRM integrations, digital analytics, or working with large healthcare datasets.
How to Apply
If this sounds like the right next step for you, please apply with your CV and we will be in touch.