Associate Data Engineer

In this role you will support the Data Centre within the Data & Analytics team to maintain and extend our data repositories. You will manage Azure SQL databases, build and monitor data pipelines, and apply NHS-aligned security practices to ensure reliable, secure data delivery. You will work with cross-functional teams to produce insight through curated data assets and BI outputs. This is a hands-on engineering position at scale in a public health context, offering meaningful impact on population health.

• hybrid working
• full-time permanent role
• Band 5 salary 32,073 to 39,043
• flexible working
• NHS pension options
• Disability Confident Employer

• Maintain Azure SQL and Azure SQL Managed Instance databases
• Build, monitor and maintain Azure Data Factory pipelines
• Utilise Microsoft Fabric and other Azure services (Storage, Events, Alerts, Power BI, Analysis Services)
• Apply security and compliance measures per NHS policies
• Document data sources and logic for Data Centre structures
• Communicate analytical concepts clearly to stakeholders
• Maintain high availability of Data Centre for end users and analysts
• Collaborate with external organisations and ICB contacts
• Write ETL scripts and support data streaming and automated reports
• Develop reusable BI reports and accessible data for analysis
• Cloud and on-premise database and data pipeline management

• Degree level qualification in IT or numerate subject or equivalent qualification/experience
• Experience presenting technical details in plain English to diverse audiences
• Experience discussing specifications with stakeholders
• Experience in database configuration, performance tuning and administration
• Desirable: NHS information flows, hospital systems, ETL and data warehouse schemas, cloud-based data platforms
• Experience working in cloud-based data platform solutions

• Good written and oral communication
• Ability to interpret data quality and propose solutions
• Ability to curate data assets to meet business needs
• MS SQL
• Python
• Oracle