Clinical Data Engineer

The Clinical Data Engineer will be instrumental in driving the Health Data Institute's mission to leverage data for improved healthcare outcomes. Collaborating with the Principal Data Scientist, Head of Data Science & Advanced Analytics, multidisciplinary teams and Industry Partners, the Clinical Data Engineer will design, build, and operationalise robust data engineering and AI solutions that power advanced analytics and AI initiatives across the Trust and beyond.

This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics, combined with a sound understanding of clinical and operational environments. The Clinical Data Engineer will be responsible for developing high quality health datasets, enhancing data infrastructure, and advising internal teams on best practices in data engineering and analytics.

As a technical lead and trusted advisor, the Clinical Data Engineer will help curate bespoke datasets for Advanced Analytics, design and develop AI solutions, shape AI policy, support service innovation, and ensure all solutions align with the Trust's Digital Strategy. The ultimate goal is to turn complex data into actionable insights and tools that strengthen patient care, improve operational efficiency, and inform strategic decisions.

Main duties of the job The Clinical Data Engineer will design, develop, and operationalise data engineering and AI solutions to support research, clinical care, and operational performance across the Trust. They will lead the adoption of best practices, develop automated data pipelines, and implement secure, scalable solutions using SQL, Python, R, and cloud technologies. The role includes building predictive and prescriptive models, deploying and monitoring machine learning applications, and applying advanced analytics to improve patient outcomes, service efficiency, and workforce wellbeing.

The post-holder will collaborate with internal teams and external partners, contributing to the Trust's Secure Data Environment and Federated Data Platform, and ensuring all work complies with ethical, legal, and governance standards. They will manage data research projects, guide stakeholders, and promote adoption of analytics insights to support service transformation.

Acting as a trusted advisor, they will translate complex technical concepts into actionable recommendations, facilitate workshops and training, and support strategic decision making across clinical, operational, and executive teams, embedding data driven innovation and best practice throughout the organisation.

About us Diversity makes us interesting Inclusion is what will make us outstanding.

Inequality exists and the journey to eliminate it is not easy. Every step we take will be a purposeful step forward to deliver a truly inclusive culture where all our people are enabled to deliver outstanding care, where background is no barrier, and where everyone can be their authentic self and we truly represent our patient community.

We are committed to equal opportunities and welcome applications from all sections of the community, regardless of any protected characteristics. Reasonable adjustments will be made for disabled applicants where possible. All applicants who have a disability and meet the minimum criteria for the post can opt for a guaranteed interview.

If you need additional help with your application please get in touch by calling the recruitment team on or .

Our primary method of communication will be via email. However, if you would prefer to be contacted through a different method, please inform the recruitment team.

Job responsibilities NHS Job Description

Job Title: Clinical Data Engineer Band: 8a Department: Health Data Institute (HDI), Royal Berkshire Hospital Foundation Trust Responsible to: Principal Analyst Accountable to: Head of Data Science & Advanced Analytics Base: Princes House, RG15UZ; with requirement to work across sites and partner organisations.

Job Purpose

To design, implement, and maintain data engineering and advanced analytics solutions that support research, service delivery, and AI within the Health Data & Informatics function. The post-holder will act as a subject matter expert, ensuring the Trust harnesses data as a strategic asset while maintaining compliance with NHS information governance, security, and ethical standards.

Key Duties & Responsibilities:

Data Engineering & Pipeline Development

• Design, build, and maintain automated, scalable, and secure data pipelines for ingestion, cleaning, transformation, and integration of diverse health datasets.
• Optimise infrastructure to support analytics, machine learning, and clinical decision support.
• Implement open-source, cost-effective, and cloud-based solutions where appropriate.
• Contribute to the Trusts Secure Data Environment and Federated Data Platform for population health and research.

Advanced Analytics & AI Enablement

• Develop and operationalise models to address clinical, operational, and research priorities.
• Apply modern approaches, including machine learning, NLP, and deep learning, to extract insights.
• Support deployment into Trust systems, ensuring safe integration with clinical workflows.
• Monitor models post-deployment, updating for accuracy, fairness, and compliance.

Governance, Ethics & Security

• Ensure all work complies with NHS standards for data protection, confidentiality, and security.
• Promote ethical AI, transparency, and avoidance of algorithmic bias.
• Apply DPIA, DTAC, and other frameworks consistently across projects.

Collaboration & Stakeholder Engagement

• Work with clinicians, IT, BI, research, and operational colleagues to translate healthcare needs into data solutions.
• Partner with external organisations including NHS hubs, academic institutions, and industry collaborators.
• Communicate technical findings to diverse audiences, tailoring language to non-specialists.
• Manage expectations where findings may be sensitive or contentious.

Innovation & Continuous Improvement

• Identify and implement opportunities to improve services, patient outcomes, and workforce wellbeing through data.
• Keep abreast of emerging data, AI, and cloud technologies to inform Trust strategy.
• Champion reproducibility, version control, and best practice across the analytics community.

Leadership, Training & Supervision

• Act as SME for data engineering and AI within the HDI.
• Mentor analysts, scientists, and placement students in reproducible and code-based approaches.
• Provide professional leadership across informatics and analytics functions.
• Support change initiatives that embed advanced analytics across the Trust.

Project & Resource Management

• Plan, manage, and deliver projects from scoping to delivery, applying Agile principles where appropriate.
• Balance multiple workstreams, ensuring high-quality and timely outputs.
• Manage relationships with external suppliers and contractors to ensure value and service quality.

Communication & Working Relationships

• Engage regularly with internal and external stakeholders, including Arcturis, Thames Valley AI Hub, Informatics Research Centre, and University of Reading.
• Present complex information to multi-disciplinary groups of varying sizes.
• Negotiate and influence stakeholders where evidence challenges assumptions.
• Build collaborative relationships with academic, industry, and NHS partners to support innovation.

Planning & Organisation

• Support development and delivery of HDI strategy, aligning with national and regional priorities.
• Contribute to policy and service development that strengthens analytics and data engineering capability.
• Identify opportunities for efficiency and performance optimisation within the team.
• Ensure robust project management, risk management, and progress reporting.

Knowledge, Skills & Experience

Essential

• Degree in Computer Science, Data Science, Statistics, Engineering, or equivalent.
• Proficiency in Python, SQL, ETL, APIs, and cloud platforms (AWS/Azure/GCP).
• Knowledge of ML algorithms, operationalisation, and model monitoring.
• Strong understanding of governance, security, and ethical frameworks in health data.
• Excellent communication, influencing, and negotiation skills.
• Experience delivering complex projects and mentoring others.
• Postgraduate qualification (MSc/PhD) in data science, ML, or related subject.
• Experience with health data standards (HL7, FHIR, SNOMED).
• Familiarity with NHS datasets and national initiatives.
• Experience with BI tools such as Power BI, Tableau, or Looker.
• Research track record with academic or industry partners.

Desirable

• Postgraduate qualification (MSc/PhD) in data science, ML, or related subject.
• Experience with health data standards (HL7, FHIR, SNOMED).
• Familiarity with NHS datasets and national initiatives.
• Experience with BI tools such as Power BI, Tableau, or Looker.
• Research track record with academic or industry partners.

Analytical & Judgement Skills

• Applies advanced methods to large and complex datasets.
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