Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

St George's University Hospitals NHS Foundation Trust
City of London
3 days ago
Create job alert
Job summary

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.

Main duties of the job

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.

About us

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.

Job descriptionJob responsibilities

As a member of the Trusts 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 trusts 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.

Job description

Job responsibilities

As a member of the Trusts 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 trusts 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.

Person Specification

Experience & Knowledge

Essential

  • Over 2 years' experience in developing dashboards using Tableau desktop, creating data sources using Tableau desktop.
  • 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
  • Tableau server administration experience

Desirable

  • Knowledge of Data Protection Act
  • Experience in using other business intelligence tools like Qlickview, SSRS, Power BI and Business Objects.

Education & Qualification

Essential

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

Desirable

  • Management qualification or equivalent experience

Skills & Ablities

Essential

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

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

St George's University Hospitals NHS Foundation Trust

Address

St George's Hospitals NHS Trust

Blackshaw Road

London

SW17 0QT

Employer's website


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.