Senior Public Health Analytics Engineer

Salary: £55,581
Grade: Level 5 Zone 1
Location: 5 Pancras Square N1C 4AG
Contract Type: Permanent 
Hours: Full Time (36 hours)
Closing Date: Sunday 28^th September 2025; 23:59
First round interview: This will be conducted via telephone w/c 6^th October

**This advert may close early if we receive a high volume of applications. We encourage you to submit your application as soon as possible to avoid missing out.**
 

About Camden

Camden is changing on the inside to make life better for everyone. Our residents and communities are at the heart of everything we do. We’re home to the most important conversations happening today and we’re making radical social change a reality, so that nobody gets left behind.  Here’s where you can help decide a better future for us all.

How You’ll Be Involved 

Join Camden’s Public Health Intelligence team and help shape a healthier future for our communities.

We’re looking for a Senior Public Health Analytics Engineer to play a pivotal role in transforming health data into actionable intelligence in Camden. This is a unique opportunity to work at the intersection of public health, data engineering, and analytics, enabling evidence-based decisions that improve population health and reduce inequalities. You’ll contribute to ambitious initiatives such as Raise Camden, where we’re building linked, longitudinal records to better understand child wellbeing, and our Estates Mission, which uses integrated data to improve services for those with the greatest need.

What you’ll do

• Develop and maintain robust, scalable datasets and reproducible analytical pipelines bringing together datasets spanning all areas of public health.
• Collaborate across Camden’s data functions to align with corporate data models and standards, which include data virtualisation.
• Engage and manage stakeholders throughout complex projects involving data collection, linkage, and analysis and process automation.
• Navigating and resolving technical and governance challenges to enable more effective and secure data sharing.
• Build dimensional data models and tools that empower analysts and decision-makers.
• Support analysts with software development practices using R, Python, SQL, and Git.
• Lead on data integration, quality assurance, and governance, especially in health and care contexts.
• Shape our tech stack and contribute to innovative data solutions.

All About You

To find out more about what it is like to work at Camden, meet some of our People by visiting 'www.camdenjobs.co.uk/our-stories'.

• A relevant qualification or 3+ years’ professional experience in data analysis, science, or engineering.
• Strong skills in SQL, data modelling, and tools like Denodo or similar.
• Experience with R or Python and supporting reproducible analytical pipelines.
• Knowledge of public health, NHS data, clinical coding (ICD-10, SNOMED-CT), and public sector data governance.
• Experience to translate complex data needs into clear deliverables whilst negotiating competing stakeholder priorities.
• A proactive and collaborative mindset to improving the use of data and information.

For more information see the Job Profile and accompanying FAQ document.

How To Apply

To apply for this job please follow the "Apply" link. In the ‘Why you?’ section of the application you will be required to demonstrate how you meet the role criteria noted in the Job Profile under the “About You” section. 

To view the Job Profile, please CLICK HERE or copy and paste the below URL into your browser: http://camdocs.camden.gov.uk/HPRMWebDrawer/Record/11180454/file/document?inline

To view the FAQ document, please CLICK HERE

Shortlisted candidates will be invited to a technical test and panel interview.

For an informal chat, contact Will Yuill, Head of Health Intelligence: will.yuill@camden.gov.uk

This advert may close early if we receive a high volume of applications. We encourage you to submit your application as soon as possible to avoid missing out. We may also review applications as they come through, so you may receive a notification about your application before the closing date.

We strongly encourage applicants to write their applications themselves. While we understand the growing use of AI tools, we believe that personal reflection and authenticity are key to a strong application. Please avoid using AI-generated content when applying.

What We Offer

At Camden, you’ll receive a host of benefits. From flexible working to 27 days annual leave (+ bank holidays!). We also know that a work life balance is extremely important so we also offer family leave, loan schemes and access to our incredible staff networks. We also have an incredible pensions scheme. 

Visit 'www.camdenjobs.co.uk/staff-benefits' for more details.

Inclusion and Diversity

We want Camden Council to be a great place to work and to ensure that our communities are represented across our workforce. A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects, including diversity of thinking. We particularly welcome applications from Black, Asian and those of Other Ethnicities, LGBT+, disabled and neurodiverse communities to make a real difference to our residents so that equalities and justice remains at the heart of everything we do.

To discover more about Camden and our commitment towards diversity, equality and safeguarding, please visit https://www.camdenjobs.co.uk/inclusion-and-diversity

Asking for Adjustments

Camden is committed to making our recruitment practices barrier-free and as accessible as possible for everyone. This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on 020 7974 6655, at resourcing@camden.gov.uk or post to 5 Pancras Square, London, N1C 4AG

Anonymised Application – in keeping with Camden’s commitment to inclusion the recruitment to this role is anonymised and supports the objective of reducing the impact of unconscious bias.