Data Engineer

Employer St George's University Hospitals NHS Foundation Trust Employer type NHS Site St George’s Hospitals NHS Trust Town London Salary £56,276 - £63,176 pa inc HCAS (inner) Salary period Yearly Closing 09/10/2025 23:59

Data Engineering Team supports decision-making within the Trust through the provision of a comprehensive information and analysis service by managing and optimizing the flow, storage, and accessibility of data from clinical on-clinical systems within the Trust. The post holder plays a pivotal role in ensuring that data flows smoothly, remains consistent, and is available for decision-making, insights and analytics.

The post holder will contribute to the smooth transition of the onsite data warehouse solutions into a more efficient, scalable and secure cloud infrastructure while supporting the current data platform and infrastructure. The post holder plays a pivotal role in ensuring that data flows smoothly, remains consistent, and is available for decision-making, insights and analytics. The post holder will also be responsible for maintaining the current data warehouse solutions by ensuring operational efficiency, routine maintenance, issue resolution, monitoring and reporting

St George's University Hospitals NHS Foundation Trust is one of the country\'s principal teaching hospitals and our main site is shared with St George's, University of London, which trains medical students and carries out advanced medical research. We have over 9,000 dedicated staff serving a population of 1.3 million across south-west London.

We deliver a large number of services, such as cardiothoracic medicine and surgery, neurosciences and renal transplantation. We also cover significant populations from Surrey and Sussex, totalling around 3.5 million people. As well as acute hospital services, we provide a wide variety of specialist care and a range of community services to patients.

As a member of the Trust’s Data Engineering team, this role serves as a strategic and architectural expert in the development and maintenance of the data warehouse and its associated systems and solutions.

Deliver the trust’s future data landscape by designing scalable and reliable data platforms on cloud infrastructure, ensuring data integrity and supporting continuous delivery of data solutions.

Design, development, and implement scalable and efficient data pipelines and workflows using Azure Data Factory and other ETL tools.

Build and manage data lakes, warehouse and databases on Azure including Synapse Analytics, Azure Data Lake and Azure SQL Database and develop our future data processing solutions in Microsoft Fabric.

Take full ownership of assigned responsibilities across advisory, implementation, and review phases, engaging effectively with both technical teams and senior leadership.

Act as an internal technical leader and innovator, contributing to the development of advanced and tailored technical solutions for the trust while championing engineering excellence.

Collaborate with wider IDT team including analysts, back office and other stakeholders to understand requirements and translate them into effective solutions.

Provide technical support for the existing database applications.

Design, develop, and implement new data feeds, ETL processes, and data marts to support evolving analytical and reporting needs.

Proactively review new and emerging technologies and their potential benefit to the Trust, fostering a culture of innovation and continuous improvement.

Develop solutions and provide management for the implementation of NHS Information Standards, mapping data standards and implementation of common data models.

Maintain robust data modelling practices, collaborate with other team members for best practices.

Ensure compliance with NHS Information Standard Notices (ISNs) and data standards.

Develop algorithms to transform data into usable models and ensure data quality and integrity

Maintain and support the current data warehousing infrastructure to support the reporting needs of the Trust by managing various extraction, transformation, and load (ETL) processes.

Provide advanced technical knowledge and skills to support the information needs of the Trust.

Ensure accuracy and timeliness of data and adhere to security and Information Governance policies and procedures.

Act as a team leader and provide deputising support to the Data Engineering Manager as required.

To diagnose complex problems, situations and/or information and make informed judgements to formulate solutions and recommend/decide on best course of action.

Ensure all technical processes, current and future are documented.

Where necessary, advise and guide colleagues on technical and best practice matters.

• • 5 years data handling experience, of which at least 2 years should have been within a Tableau role.
• • Advanced knowledge of SQL Server 2008 R2 and at least 4 years’ experience in using it
• • Knowledge of Data Protection Act
• • Experience in using other business intelligence tools like Qlickview, SSRS, Power BI and Business Objects.

• • Degree level or equivalent experience (relevant to role)
• • Postgraduate qualification in relevant area or equivalent experience

• • Administrative and organisational skills
• • Good analytical skills for spotting or anticipating weaknesses in processes
• • Ability to manage own workload and work to tight deadline

We expect all our staff to share the values that are important to the trust – being excellent, kind, responsible and respectful – and behave in a way that reflects these. More information on the vision and values of St. George’s University Hospitals NHS Foundation Trust is attached below.

Please note that this vacancy may close before the advertised closing date if sufficient applicants are received. Please check your email regularly as all candidates shortlisted for interview will be contacted and informed by email.

If you are appointed to the post, as part of your pre-employment check we will be required to verify your identity. The document/s you present for this purpose will be checked for their authenticity by scanning all known security features. These features will include:

- The machine readable zone
- An ultra violet image
- An infra red image

As part of your pre-employment checks, we will also be required to obtain satisfactory, written references. Please ensure that the referee details which you provide on your application form are correct. We require at least one written reference from your current or most recent line manager. We are only able to accept references from a professional work email address.

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