Data Engineer Connected Care

NHS Thames Valley Integrated Care Board

Oxford

On-site

GBP 40,000 - 55,000

Full time

5 hours ago
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Job summary

Thames Valley Integrated Care Board is seeking a Data Engineer (Band 7) to build modern data foundations for integrated, intelligence-led care across the system. You will support data engineering across commissioning, Connected Care, population health and planning & performance, working on a cloud-based enterprise data platform for 2.5 million people in Buckinghamshire, Oxfordshire and Berkshire.

The role focuses on scalable data pipelines, Azure-based ETL/ELT, data integration and governance.

Qualifications

  • Degree or equivalent in a relevant subject and significant data engineering experience.
  • Experience with ETL/ELT development and cloud data platforms.
  • Knowledge of information governance and secure data processing principles.
  • Experience in NHS, healthcare, or public sector data environments desirable.

Responsibilities

  • Engineering scalable, resilient data pipelines underpinning system-wide analytics and decision-making.
  • Designing and implementing robust ETL/ELT solutions using Microsoft Azure or equivalent cloud technologies.
  • Integrating complex clinical, operational and corporate datasets across commissioning, Connected Care, population health and planning & performance.
  • Improving data quality, automation and platform performance across a large multi-organisational environment.
  • Applying modern engineering and DevOps practices to ensure secure, cost-effective, and future-ready solutions.
  • Collaborating with architects, analysts, digital teams and clinical leaders to translate transformation priorities into technical delivery.
  • Producing and maintaining clear technical documentation.

Skills

Data engineering
ETL/ELT development
Cloud data platforms
Data modelling
Information governance

Education

Degree in a relevant subject
Post-graduate degree in Management Studies or equivalent

Tools

Microsoft Azure
Microsoft Fabric

Job description

Thames Valley Integrated Care Board is looking for a Data Engineer to help build the modern data foundations that enable integrated, intelligence-led care across our system.

This is a broad, cross-cutting role, supporting data engineering across the full breadth of the ICB's analytics function — commissioning, Connected Care, population health, and planning and performance. You'll play a key role in developing our secure, cloud-based enterprise data platform, ensuring that high-quality, trusted data flows seamlessly across organisational boundaries to support population health management, operational performance, system integration and emerging AI-enabled services.

You'll be part of the ICB's data engineering capability, supporting analytics and decision-making across every part of the organisation — from commissioning and planning & performance through to population health and Connected Care — for 2.5 million people across Buckinghamshire, Oxfordshire and Berkshire.

Location: One of Thames Valley ICB's offices

Function: Population Health, Analytics and Planning

Main duties of the job

Engineering scalable, resilient data pipelines that underpin system-wide analytics and decision-making.

Designing and implementing robust ETL/ELT solutions using Microsoft Azure or equivalent cloud technologies.

Integrating complex clinical, operational and corporate datasets across commissioning, Connected Care, population health and planning & performance.

Improving data quality, automation and platform performance across a large, multi-organisational environment

Applying modern engineering and DevOps practices to ensure secure, cost-effective and future-ready solutions.

Collaborating with architects, analysts, digital teams and clinical leaders to translate transformation priorities into technical delivery.

Producing and maintaining clear technical documentation.

Working for our organisation

We value and promote diversity and are committed to equality of opportunity for all. We believe that the best employers are those that reflect the communities they serve. We want to increase the diversity of our NHS leadership and particularly encourage applications from women, people from Black, Asian and Minority Ethnic communities, LGBT communities, younger candidates and from people with lived experience of disability, who we know are all under-represented in these important roles. We are committed to delivering a trustworthy, flexible and responsible staff culture.

At our Organisation, our selection process ensures we recruit candidates with the right skills and values. We monitor AI use in applications and remain alert to misuse that misrepresents abilities. You must declare any AI use when submitting your application.

Detailed job description and main responsibilities

As a Data Engineer – Connected Care (Band 7) you will be at the heart of Thames Valley ICB’s digital transformation journey, helping to build the modern data foundations that enable integrated, intelligence-led care across the system.

You will play a key role in developing our secure, cloud-based enterprise data platform, ensuring that high-quality, trusted data flows seamlessly across organisational boundaries to support population health management, operational performance, system integration and emerging AI-enabled services.

The postholder will work closely with the Head of Department and their team to effectively plan, manage, and deliver programme workstreams.

You'll be an experienced data engineer, comfortable working across a wide range of stakeholders and use cases spanning commissioning, population health and direct care. You'll have:

A degree in a relevant subject or equivalent significant experience working in data engineering, ETL/ELT development or cloud data platform roles.

Practical experience developing data pipelines within Microsoft Azure or equivalent cloud environments.

Experience with Microsoft Fabric is desirable.

Working knowledge of data modelling, database structures and data lifecycle management.

An understanding of information governance, data protection and secure data processing principles.

Experience working within NHS, healthcare or public sector data environments is desirable.

Person specification
Qualifications
  • Educated to degree level in relevant subject or equivalent level qualification or significant experience of working at a similar level in specialist area.
  • Post-graduate degree in Management Studies or equivalent.
Knowledge, Experience
  • Significant experience of successfully operating in a politically sensitive environment
  • Practical experience developing data pipelines within Microsoft Azure or equivalent cloud environments.
  • Working knowledge of data modelling, database structures and data lifecycle management.
  • Understanding of information governance, data protection and secure data processing principles.
  • Evidence of ongoing professional development.
  • Experience working within NHS, healthcare or public sector data environments.
  • Awareness of interoperability standards (e.g. FHIR).
  • Relevant cloud or data engineering certifications.
  • Comprehensive knowledge of project principles, techniques and tools, such as Prince 2 Foundation, Agile and Microsoft Project.
Skills, Capabilities, Attributes
  • Ability to prepare and produce concise yet insightful communications for dissemination to senior stakeholders and a broad range of stakeholders as required.
  • Numerate and able to understand complex financial issues combined with deep analytical skills.
  • Knowledge of financial systems e.g. monitoring budget management, processing invoices and procurement.
  • Ability to act upon incomplete information, using experience to make inferences and decision making.
  • Ability to analyse very complex issues where material is conflicting and drawn from multiple sources.
  • Demonstrated capability to plan over short, medium and long-term timeframes and adjust plans and resource requirements accordingly.
  • Demonstrated capabilities to manage own workload and make informed decisions in the absence of required information, working to tight and often changing timescales.
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