Data Engineer

Data Engineer – NHS Band 7, London

IMPORTANT: Skilled Worker Sponsorship NOT Normally Available

Certificate of Sponsorship (CoS): Not available for this vacancy under the current Skilled Worker rules, except for applicants who qualify under the stated transitional/temporary exemption provisions.

If you do not meet the applicable transitional provisions and do not already have the right to work in the UK, the employer states that they will be unable to consider your application.

Applicants who believe they are eligible for sponsorship or who already have valid UK work permission should provide full details of their immigration status in the Pre-Screening Immigration section of the application.

 Overview

Job Title: Data Engineer
Employer: Central and North West London NHS Foundation Trust (CNWL)
Location: CNWL HQ, 350 Euston Road, London, NW1 3AX
NHS Band: Band 7
Salary: £58,133 – £65,261 per year, including HCAS
Contract: Fixed term
Duration: 12 months
Working Pattern: Full-time, flexible working, home or remote working
Posted: 12 August 2026
Closing Date: 19 August 2026
Reference: 333-C-HQ-2110-A

About the Data Engineer Role

Central and North West London NHS Foundation Trust is recruiting a Data Engineer to join its Central Business Intelligence Data Engineering Team.

The successful candidate will help design, develop, implement and optimise data pipelines and data warehouse solutions supporting the Trust’s data, analytics, reporting and business intelligence requirements.

This is a 12-month development secondment providing an opportunity to work with both an established SQL Server data warehouse and a modern cloud-based Snowflake platform as part of the Trust’s Data Platform Modernisation Programme.

Key Highlights

• NHS Band 7 position
• Salary of £58,133 – £65,261
• 12-month fixed-term contract
• Full-time position
• Flexible working available
• Home or remote working available
• Based in London
• Data engineering and business intelligence focus
• SQL Server and Snowflake environment
• Exposure to Python and dbt
• ETL/ELT development
• Power BI and Tableau
• Data warehouse development
• Data quality and governance
• NHS national reporting
• Data Platform Modernisation Programme

Main Purpose of the Job

The Data Engineer will assist with the design, implementation and optimisation of data pipelines used to load and maintain data warehouses supporting the Trust’s data and analytics requirements.

The role will involve working with data originating from multiple sources, including:

• Clinical systems
• Electronic Patient Record systems
• Electronic Staff Records
• Finance systems
• Internal data sources
• External data sources

Key Responsibilities

The successful applicant will:

• Develop, test and implement solutions within SQL Server environments.
• Develop and maintain data pipelines.
• Design scalable data ingestion, transformation and loading processes.
• Work with SQL Server databases and data warehouse environments.
• Support data integration from multiple internal and external sources.
• Develop high-quality data models for reporting and dashboards.
• Support migration of existing pipelines and reporting objects to Snowflake.
• Contribute to the Trust’s Data Platform Modernisation Programme.
• Support Data Quality Improvement Project deliverables.

SQL, ETL and BI Technologies

The role involves developing technical expertise in:

• T-SQL
• SQL Server
• SSIS
• Python
• dbt
• ETL/ELT
• Snowflake
• Power BI
• Tableau
• Azure-based BI technologies
• Data modelling
• Data warehouse development

Data Quality and Governance

Responsibilities include:

• Ensuring data quality across the data platform.
• Providing data quality assurance.
• Resolving data quality issues.
• Supporting data quality improvement initiatives.
• Managing metadata repositories.
• Supporting data governance processes.
• Ensuring data warehouse security.
• Protecting sensitive and patient-identifiable information.
• Maintaining appropriate access permissions.

NHS Information Management

The successful candidate will support mandatory NHS national returns and information requirements, including:

• CSDS
• CDS
• IAPT
• MHSDS

The post holder will also monitor national reporting developments, support dataset change procedures and help ensure Trust reporting reflects updated NHS requirements.

Data Platform Modernisation

A major element of this role is supporting the Data Platform Modernisation (DPM) Programme.

The successful candidate will contribute to migration of:

• Data pipelines
• Data models
• Reporting objects
• SQL Server-based solutions

towards the Trust’s Snowflake platform.

Business Intelligence and Reporting

The Data Engineer will work closely with analytical teams and business users to develop effective reporting and dashboarding solutions.

Responsibilities include:

• Supporting intelligent information reporting.
• Integrating information from multiple sources.
• Developing reporting solutions.
• Supporting Power BI and Tableau requirements.
• Helping non-technical users understand complex information.
• Providing technical support to BI managers.
• Supporting data release schedules.
• Maintaining accurate documentation.

Training and Knowledge Sharing

The successful applicant will:

• Provide training on BI systems.
• Demonstrate data engineering tools.
• Help users build and run information reports.
• Explain complex analytical information to non-specialists.
• Share technical knowledge with colleagues.
• Identify development opportunities.
• Support technical BI capability development.

Essential Qualifications

Applicants should have:

• A master’s-level qualification in a relevant subject, or an equivalent qualification/level of experience.
• Significant experience working at a similar specialist level may be considered where applicable.

Essential Experience and Knowledge

Candidates should demonstrate:

• Significant experience using SQL-based query tools.
• Proven data engineering experience.
• Experience designing, building and maintaining data pipelines.
• Experience with data warehouses and/or data lakes.
• Experience using ETL/ELT technologies.
• Experience with SSIS or an equivalent ETL/ELT tool.
• Knowledge of data modelling.
• Knowledge of database design.
• Understanding of data integration patterns.
• Familiarity with DevOps practices.
• Experience with collaborative development, testing and deployment.

Desirable Experience

The following would strengthen an application:

• Data governance experience.
• Data quality experience.
• Data security knowledge.
• Python programming experience.
• Tableau experience.
• NHS experience.
• Social care experience.
• Experience in mental health services.
• Experience in substance misuse services.
• Experience working in regulated or public-sector environments.
• Experience with data quality improvement initiatives.

Communication Skills

Candidates should have:

• Excellent written communication skills.
• Strong report-writing ability.
• Strong presentation skills.
• Ability to communicate complex technical concepts clearly.
• Ability to communicate with technical and non-technical audiences.

Analytical Skills

The successful applicant should demonstrate:

• Excellent analytical ability.
• Strong critical reasoning skills.
• Strong numerical skills.
• Ability to interpret complex information.
• Ability to analyse data from multiple sources.
• Ability to identify and evaluate issues.
• Ability to recommend appropriate courses of action.
• Ability to communicate findings using tables, graphs and written explanations.

Planning and Organisation

Candidates should have experience of:

• Implementing and maintaining data warehouse solutions.
• Establishing internal processes and procedures.
• Planning and coordinating workloads.
• Meeting tight and competing deadlines.
• Supporting junior colleagues.
• Setting and communicating standards.
• Supporting staff development.
• Planning projects and identifying dependencies.

Working Arrangements

Working Pattern: Full-time
Flexible Working: Yes
Home/Remote Working: Available
Location: London

CNWL HQ
350 Euston Road
London
NW1 3AX
United Kingdom

Sponsorship and Right-to-Work Information

Does this job offer Skilled Worker visa sponsorship?

Generally, NO.

The vacancy specifically states that it does not meet the criteria for Skilled Worker sponsorship, unless an applicant qualifies under the relevant temporary/transitional exemption provisions associated with changes to UK immigration rules introduced on 22 July 2025.

Separate provisions apply to workers who have been continuously sponsored and held a Skilled Worker visa since before 4 April 2024.

If you do not qualify under the applicable transitional provisions and cannot demonstrate an existing right to work in the UK, the employer states that your application cannot be considered.

Therefore, overseas applicants should not assume that this Band 7 position provides a new Certificate of Sponsorship.

Who Is This Role Suitable For?

This vacancy may be particularly suitable for candidates with experience in:

• Data engineering
• SQL Server
• T-SQL
• Data warehousing
• Data pipelines
• ETL/ELT
• SSIS
• Python
• dbt
• Snowflake
• Azure Data Factory
• Power BI
• Tableau
• Data modelling
• Data governance
• Data quality
• NHS information management
• Business intelligence

Application Deadline

Closing date: 19 August 2026

Applicants should review the eligibility and immigration requirements carefully before applying.

How to Apply

Applications should be submitted through the official NHS Jobs vacancy.

Job Reference: 333-C-HQ-2110-A
NHS Jobs Reference: C9333-26-1054

Official application:
https://www.jobs.nhs.uk/candidate/jobadvert/C9333-26-1054/ats-direct-apply

Employer

Central and North West London NHS Foundation Trust (CNWL)

Contact for Further Information

Contact: Mr Massanda Mamboleo
Position: Lead Data Engineer
Telephone: 020 3214 5974
Email: massanda.mamboleo@nhs.net

Quick Vacancy Summary

Final Applicant Check

• [ ] Meet the required qualifications or equivalent experience.
• [ ] Have significant SQL experience.
• [ ] Have professional data engineering experience.
• [ ] Have experience developing data pipelines.
• [ ] Understand data warehouse/data lake environments.
• [ ] Have experience with ETL/ELT tools.
• [ ] Understand data modelling and database design.
• [ ] Have relevant cloud BI/data platform experience.
• [ ] Can demonstrate strong analytical and communication skills.
• [ ] Check your UK right-to-work status.
• [ ] Carefully review the sponsorship restrictions.
• [ ] Submit your application before 19 August 2026.