Senior Data Analytics Engineer (Public Health)

Join to apply for the Senior Data Analytics Engineer (Public Health) role at London Borough of Camden

Salary: £55,581
Grade: Level 5 Zone 1
Location: 5 Pancras Square N1C 4AG
Contract Type: Permanent
Hours: Full Time (36 hours)
Closing Date: Monday 24th November 2025; 23:59

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.

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.>

Join Camden’s Public Health Intelligence team and help transform how we use data to improve lives. We’re on the lookout for a Senior Analytics Engineer who’s passionate about public health, data innovation, and driving real‑world change. 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. Your work will directly influence how Camden supports its communities.

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• Design scalable, secure, and reproducible pipelines that bring together diverse datasets, from clinical records to housing and education.
  
• Align Camden’s health data with corporate models and virtualisation platforms like Denodo, ensuring consistency and interoperability.
  
• Build dimensional models and intuitive tools that unlock insights for analysts, policymakers, and frontline teams.
  
• Develop trusted relationships with stakeholders to lead complex data projects, overcoming governance barriers that may limit sharing of personal data.
  
• Design innovative approaches to link and analyse datasets with limited interoperability.
  
• Guide analysts in software development best practices using R, Python, SQL, and Git.
  

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• 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 virtualisation technologies.
  
• 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 translating complex data needs into clear deliverables whilst negotiating competing stakeholder priorities.
  
• A proactive and collaborative mindset to improving the use of data and information.
  

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

For an informal chat, contact Will Yuill, Head of Health Intelligence. Camden encourages applicants to write their own applications and discourages the use of AI‑generated content.

Camden is committed to making our recruitment practices barrier‑free and as accessible as possible for everyone. If you would like adjustments during the application, interview or assessment process, please contact 020 7974 6655, or post to 5 Pancras Square, London, N1C 4AG.

Camden’s recruitment for this role is anonymised to reduce unconscious bias.