Data Engineer

<p><strong>Data Engineer</strong></p><br>Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.<br><p>Hybrid: Birmingham</p><p>Salary: £45000 to £50000.</p><p>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.</p><p><strong>The Company</strong></p><p>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.</p><p><strong>The Role</strong></p><p>• Maintain and enhance core data pipelines across Azure.</p><p>• Manage nightly data ingestion from legacy operational systems into Azure SQL.</p><p>• Build and maintain integrations for CRM, NHS datasets, Google Analytics, and distributor reporting.</p><p>• Conduct web scraping using Python to support customer and market insight.</p><p>• Improve data architecture, addressing duplicated, inconsistent, or ad hoc datasets.</p><p>• Support analysts by ensuring reliable access to clean, accurate data.</p><p>• Work closely with IT on infrastructure and large data assets.</p><p>• Produce reporting inputs for sales, marketing, production planning, and quality teams.</p><p>• Build dashboards and support insight generation for stakeholders across the business.</p><p><strong>Your Skills and Experience</strong></p><p>• Strong commercial experience with Azure, Python and SQL.</p><p>• Confident managing and maintaining data pipelines in a production environment.</p><p>• Comfortable working with APIs and integrating third party data sources.</p><p>• Able to work hands on from day one and adapt within a mixed modern and legacy environment.</p><p>• Experience with any of the following is beneficial: Tableau, web scraping, CRM integrations, digital analytics, or working with large healthcare datasets. xwzovoh </p><p><br></p><p><strong>How to Apply</strong></p><p>If this sounds like the right next step for you, please apply with your CV and we will be in touch.</p>