Senior Digital, Data & Infrastructure Engineer

Overview

In this role you will provide specialist digital, data and infrastructure engineering to support business intelligence, reporting, analytics and insight for the Cancer Alliance. You will design and maintain secure, scalable data solutions and pipelines that enable cancer information delivery across partners. You will translate requirements into technical specifications and integrate data from multiple sources for reporting and decision-making. You will work across NHS and partner organisations to advance modern data and analytics capabilities and contribute to service improvement initiatives. This is a hands-on, collaborative role that shapes data infrastructure to drive actionable insights.

Pay / Benefits

• excellent benefits
• professional development support
• policies to support work-life balance

Responsibilities

• Design, build and operate data platforms and pipelines to support analytics and reporting
• Integrate data from multiple sources and ensure governance and security of data assets
• Translate business requirements into technical specifications and deliver scalable solutions
• Collaborate with cross-organisational stakeholders to support strategic data initiatives
• Adhere to organisational strategies, governance, and NHS information standards
• Lead technical workstreams or platform components
• Provide expert judgement to resolve complex technical issues
• Support continuous improvement of data engineering practices and infrastructure

Key requirements

• Degree (or equivalent experience) in a technical, digital, data engineering or computing discipline
• Strong cloud-based data platform understanding for large-scale analytics
• Significant NHS or public sector digital/data platform experience
• Experience designing, building and operating data platforms or data engineering solutions
• Experience with data integration, modelling, validation and performance optimisation
• Experience working with senior stakeholders to deliver technical solutions

• Professional, credible and resilient under pressure
• Collaborative and inclusive leadership style
• Strong communication and documentation skills
• Data engineering skills including T-SQL and Spark SQL
• Fabric or Data Factory pipelines; Fabric notebooks; data flows and data modelling
• Cloud data architectures and infrastructure concepts

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