Data Engineer

Go back Cambridgeshire Community Services NHS Trust

The closing date is 15 March 2026

Are you motivated by building robust data solutions and shaping how data flows through a modern NHS cloud platform? We are recruiting two Data Engineers on 12 month fixed term contracts to support the continued development of our Modern Data Platform.

These roles are suited to individuals who enjoy designing and maintaining scalable data pipelines, working with complex datasets and improving how data is structured and prepared for analytics and operational use. You will contribute to the development of secure, reusable data engineering solutions using Azure-based technologies, helping to provide consistent and trusted data foundations across clinical, operational and strategic services.

This is a hands‑on technical role focused on data ingestion, transformation and optimisation within a structured cloud environment. You will work closely with BI developers and operational stakeholders to ensure data is accurate, well governed and aligned to organisational and system requirements.

The role is primarily remote, with occasional in‑person meetings and team activities expected throughout the year. Applicants should be based within reasonable travelling distance of Trust sites to enable attendance when required.

As a Data Engineer, you will help design, build and maintain data pipelines that support reliable, high‑quality data across the Trust's cloud data platform. You will contribute to the development of datasets and data structures that align with wider system requirements, including the NHS Federated Data Platform.

You will work with structured datasets to apply transformation and validation logic, helping ensure data is accurate, consistent and ready for analytical and operational use. This includes developing curated datasets, refining existing processes and supporting the transition from manual tasks to more efficient, automated data services.

The role involves working across development, test and production environments, supporting reliable delivery through monitoring, quality controls and defined change processes. You will work closely with colleagues across data, analytics and operational teams to understand requirements and turn them into practical technical solutions, while contributing to good practice in data standards, documentation and governance.

Strong experience working with cloud‑based data platforms and data transformation technologies is essential, along with the ability to manage your own workload within a structured delivery approach and communicate technical concepts clearly to a range of audiences.

As a Data Engineer, you will:

• Build, test and maintain scalable data pipelines using Azure Synapse Pipelines and Data Lake Storage
• Develop and maintain solutions to support the NHS Federated Data Platform
• Contribute to the design and automation of data flows that replace manual processes and improve efficiency
• Apply Dev Ops practices including source control, CI/CD and sprint‑based delivery using Azure Dev Ops and Jira
• Collaborate with BI Developers to ensure data products meet operational, analytical and service needs
• Contribute to technical documentation, metadata and data cataloguing using Microsoft Purview
• Support the development and implementation of Purview design and data management standards
• Participate in QA, peer review and continuous improvement of shared data assets and pipelines
• Ensure data engineering solutions comply with information governance, security and data protection requirements within NHS and organisational policy
• Where applicable, contribute to data engineering processes that support statutory national datasets such as CSDS and MHSDS

Proactively engage with team members and stakeholders to gather data and technical requirements and support the development of effective working relationships, verbally and in writing.

Attend relevant internal and external meetings on behalf of the team where appropriate.

Communicate developments within the data platform and pipeline architecture to colleagues and stakeholders to support…