SW Secure Data Environment Senior Data Engineer
First seen by Alion on Sep 30, 2026.
Essential
Educated to master's level or equivalent senior-level experience within a specialist data, analytics, digital or technical environment.
Significant experience designing, developing and supporting complex data pipelines, transformations and data integration solutions.
Strong hands-on experience using SQL, Python and relevant modern data engineering tools and technologies.
Experience working with large-scale health, research, public sector or similarly complex datasets.
Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques.
Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches.
Experience planning and delivering complex data engineering or integration activity within agreed timescales and resources.
Ability to manage multiple projects, technical priorities and deliverables simultaneously.
Experience providing technical leadership, peer review, mentoring and guidance to engineers or technical colleagues.
Excellent communication skills, with the ability to translate complex requirements and explain technical concepts to technical and non-technical audiences.
Strong problem-solving skills and the ability to resolve complex data quality, integration and interoperability issues.
Understanding of information governance, cyber security, data protection and relevant compliance requirements.
Ability to work collaboratively with data providers, researchers, suppliers and partner organisations across organisational boundaries.
Commitment to technical quality, inclusive working, knowledge sharing, innovation and continuous improvement.
Desirable
Experience working with NHS data, health research infrastructure, Secure Data Environments or Trusted Research Environments.
Knowledge of NHS datasets, coding systems, data standards and healthcare information flows.
Experience of cloud-based data engineering using Azure, AWS or an equivalent platform.
Experience of DevOps, automation, infrastructure-as-code or platform engineering approaches.
Knowledge of interoperability standards or common data models such as OMOP, FHIR or openEHR.
Knowledge of SATRE, the Data Security and Protection Toolkit, ISO 27001 or other relevant security and assurance frameworks.
Job description Job responsibilitiesEssential
Educated to master's level or equivalent senior-level experience within a specialist data, analytics, digital or technical environment.
Significant experience designing, developing and supporting complex data pipelines, transformations and data integration solutions.
Strong hands-on experience using SQL, Python and relevant modern data engineering tools and technologies.
Experience working with large-scale health, research, public sector or similarly complex datasets.
Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques.
Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches.
Experience planning and delivering complex data engineering or integration activity within agreed timescales and resources.
Ability to manage multiple projects, technical priorities and deliverables simultaneously.
Experience providing technical leadership, peer review, mentoring and guidance to engineers or technical colleagues.
Excellent communication skills, with the ability to translate complex requirements and explain technical concepts to technical and non-technical audiences.
Strong problem-solving skills and the ability to resolve complex data quality, integration and interoperability issues.
Understanding of information governance, cyber security, data protection and relevant compliance requirements.
Ability to work collaboratively with data providers, researchers, suppliers and partner organisations across organisational boundaries.
Commitment to technical quality, inclusive working, knowledge sharing, innovation and continuous improvement.
Desirable
Experience working with NHS data, health research infrastructure, Secure Data Environments or Trusted Research Environments.
Knowledge of NHS datasets, coding systems, data standards and healthcare information flows.
Experience of cloud-based data engineering using Azure, AWS or an equivalent platform.
Experience of DevOps, automation, infrastructure-as-code or platform engineering approaches.
Knowledge of interoperability standards or common data models such as OMOP, FHIR or openEHR.
Knowledge of SATRE, the Data Security and Protection Toolkit, ISO 27001 or other relevant security and assurance frameworks.
Person Specification
Knowledge, Training and Experience Essential- Educated to masters level or equivalent experience working at a senior level within a specialist data, analytics, digital or technical environment.
- Extensive specialist knowledge gained through postgraduate study, professional qualification or significant experience in data engineering, data integration, health informatics, analytics, data architecture or digital services.
- Significant experience designing, developing and supporting complex data pipelines, data transformations and data integration solutions.
- Significant experience working with large-scale health and care datasets within NHS, research or public sector environments.
- Experience of designing, developing and maintaining data engineering solutions using SQL, Python and relevant modern data engineering tools and technologies.
- Experience of data modelling, data quality assurance, metadata management and data validation techniques.
- Experience working with complex NHS datasets, data standards, coding systems and healthcare information flows.
- Understanding of information governance, cyber security, data protection and NHS or public sector compliance frameworks.
- Understanding of the NHS, wider health and care system landscape and national digital and data priorities.
- Demonstrates strong digital literacy and effective use of modern digital, data and collaboration tools.
- Experience working within NHS, health research, analytics or Secure Data Environment (SDE/TRE) programmes.
- Knowledge of SATRE, DSPT, ISO27001 or other relevant standards and assurance frameworks.
- Experience of cloud-based data engineering using Azure, AWS or equivalent platforms.
- Experience of infrastructure-as code, automation, DevOps or platform engineering approaches.
- Experience of interoperability standards and common data models such as OMOP, FHIR or openEHR.
- Excellent communication skills with the ability to explain complex technical and data engineering concepts to technical and non-technical audiences.
- Ability to communicate effectively with NHS providers, researchers, suppliers and partner organisations.
- Strong presentation, facilitation and stakeholder engagement skills.
- Ability to build collaborative relationships across organisational and professional boundaries.
- Ability to translate operational, research or business requirements into practical technical approaches and engineering solutions.
- Experience presenting technical findings, data quality assessments or engineering solutions to governance groups and technical forums.
- Ability to analyse highly complex datasets, data structures, mappings and technical requirements and determine appropriate engineering approaches.
- Ability to investigate and resolve complex data quality, integration and interoperability issues where there may be multiple potential solutions.
- Ability to balance technical, operational, information governance and delivery considerations when making recommendations.
- Experience identifying, assessing and resolving technical risks associated with data engineering, onboarding and data processing activities.
- Strong problem-solving skills and ability to work effectively in complex, ambiguous and rapidly changing environments.
- Experience analysing platform performance, pipeline performance, data quality metrics or cloud based engineering workloads.
- Experience applying analytical techniques to support data validation, optimisation and continuous improvement.
- Experience planning and delivering complex data engineering, integration and onboarding activity within agreed timescales and available resources.
- Ability to manage multiple competing priorities, projects and technical deliverables simultaneously.
- Experience developing implementation plans, technical specifications and engineering work packages.
- Experience coordinating technical activity across multiple contributors, organisations or datasets.
- Experience of agile delivery, DevOps or modern technical delivery methodologies.
- Experience providing technical leadership, mentoring and guidance to engineers, analysts or technical colleagues.
- Experience coordinating technical activity across multiple projects, datasets and engineering priorities.
- Experience undertaking technical peer review, quality assurance and promotion of engineering standards and best practice.
- Experience supporting knowledge transfer, technical development and capability building within engineering teams.
- Experience working collaboratively with suppliers, provider organisations and delivery partners to support engineering delivery.
- Experience of line management, supervision or coaching responsibilities.
- Experience contributing to recruitment and technical assessment processes.
- Experience developing engineering capability within multidisciplinary teams.
- Educated to masters level or equivalent experience working at a senior level within a specialist data, analytics, digital or technical environment.
- Extensive specialist knowledge gained through postgraduate study, professional qualification or significant experience in data engineering, data integration, health informatics, analytics, data architecture or digital services.
- Significant experience designing, developing and supporting complex data pipelines, data transformations and data integration solutions.
- Significant experience working with large-scale health and care datasets within NHS, research or public sector environments.
- Experience of designing, developing and maintaining data engineering solutions using SQL, Python and relevant modern data engineering tools and technologies.
- Experience of data modelling, data quality assurance, metadata management and data validation techniques.
- Experience working with complex NHS datasets, data standards, coding systems and healthcare information flows.
- Understanding of information governance, cyber security, data protection and NHS or public sector compliance frameworks.
- Understanding of the NHS, wider health and care system landscape and national digital and data priorities.
- Demonstrates strong digital literacy and effective use of modern digital, data and collaboration tools.
- Experience working within NHS, health research, analytics or Secure Data Environment (SDE/TRE) programmes.
- Knowledge of SATRE, DSPT, ISO27001 or other relevant standards and assurance frameworks.
- Experience of cloud-based data engineering using Azure, AWS or equivalent platforms.
- Experience of infrastructure-as code, automation, DevOps or platform engineering approaches.
- Experience of interoperability standards and common data models such as OMOP, FHIR or openEHR.
- Excellent communication skills with the ability to explain complex technical and data engineering concepts to technical and non-technical audiences.
- Ability to communicate effectively with NHS providers, researchers, suppliers and partner organisations.
- Strong presentation, facilitation and stakeholder engagement skills.
- Ability to build collaborative relationships across organisational and professional boundaries.
- Ability to translate operational, research or business requirements into practical technical approaches and engineering solutions.
- Experience presenting technical findings, data quality assessments or engineering solutions to governance groups and technical forums.
- Ability to analyse highly complex datasets, data structures, mappings and technical requirements and determine appropriate engineering approaches.
- Ability to investigate and resolve complex data quality, integration and interoperability issues where there may be multiple potential solutions.
- Ability to balance technical, operational, information governance and delivery considerations when making recommendations.
- Experience identifying, assessing and resolving technical risks associated with data engineering, onboarding and data processing activities.
- Strong problem-solving skills and ability to work effectively in complex, ambiguous and rapidly changing environments.
- Experience analysing platform performance, pipeline performance, data quality metrics or cloud based engineering workloads.
- Experience applying analytical techniques to support data validation, optimisation and continuous improvement.
- Experience planning and delivering complex data engineering, integration and onboarding activity within agreed timescales and available resources.
- Ability to manage multiple competing priorities, projects and technical deliverables simultaneously.
- Experience developing implementation plans, technical specifications and engineering work packages.
- Experience coordinating technical activity across multiple contributors, organisations or datasets.
- Experience of agile delivery, DevOps or modern technical delivery methodologies.
- Experience providing technical leadership, mentoring and guidance to engineers, analysts or technical colleagues.
- Experience coordinating technical activity across multiple projects, datasets and engineering priorities.
- Experience undertaking technical peer review, quality assurance and promotion of engineering standards and best practice.
- Experience supporting knowledge transfer, technical development and capability building within engineering teams.
- Experience working collaboratively with suppliers, provider organisations and delivery partners to support engineering delivery.
- Experience of line management, supervision or coaching responsibilities.
- Experience contributing to recruitment and technical assessment processes.
- Experience developing engineering capability within multidisciplinary teams.
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 nameNHS Bristol, North Somerset and South Gloucestershire Integrated Care Board
AddressBristol, Gloucester and hybrid working
Floor 2, North Wing, 100 Temple Street
Bristol Gloucester
BS16AG
United Kingdom
Employer's website
https://bnssg.icb.nhs.uk/ (Opens in a new tab)
Employer details
Employer nameNHS Bristol, North Somerset and South Gloucestershire Integrated Care Board
AddressBristol, Gloucester and hybrid working
Floor 2, North Wing, 100 Temple Street
Bristol Gloucester
BS16AG
United Kingdom
Employer's website
https://bnssg.icb.nhs.uk/ (Opens in a new tab)
Employer contact details
For questions about the job, contact:Head of Operations SW Secure Data Environment
Kane O'Beirne
Details
Date posted30 September 2026
Pay schemeAgenda for change
BandBand 8a
Salary£57,528 to £64,750 a year per annum
ContractPermanent
Working patternFull-time
Reference number461-ICB-6234TG-A
Job locationsBristol, Gloucester and hybrid working
Floor 2, North Wing, 100 Temple Street
Bristol Gloucester
BS16AG
United Kingdom
Job overview
We are seeking an experienced Senior Data Engineer to provide technical leadership and hands-on expertise within the Southwest Secure Data Environment (SWSDE). SWSDE enables secure use of health and care data for research, innovation, service improvement and transformation. Working with NHS organisations, universities and research partners, it supports better outcomes and data-driven decisions.