London Borough of Camden

Senior Public Health Analytics Engineer

The closing date is 28 September 2025

Job summary

Join Camdens Public Health Intelligence team and help shape a healthier future for our communities.

Were 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. Youll contribute to ambitious initiatives such asRaise Camden, where were building linked, longitudinal records to better understand child wellbeing, and ourEstates Mission, which uses integrated data to improve services for those with the greatest need.

Main duties of the job

Develop and maintain robust, scalable datasets and reproducible analytical pipelines bringing together datasets spanning all areas of public health.

Collaborate across Camdens 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.

About us

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

Date posted

15 September 2025

Pay scheme

Other

Salary

£55,581 to £63,438 a year

Contract

Permanent

Working pattern

Full-time, Flexible working

Reference number

F0039-3739

Job locations

5 Pancras Square

London

N1C 4AG

Job description

Job responsibilities

The post holder will join Camdens growing Public Health Intelligence team. The remit of the team is to turn health data and information into intelligence that underpin policy decisions that improve population health and reduce inequalities. The Senior Public Health Analytics Engineer is a key enabling role that ensures our data is robust, and analytics scalable, and code of high quality. This will entail developing and maintaining our datasets, ensuring reproducible pipelines feed our analytical outputs, and supporting with the development of data analysis tools. The post ensures the efficient and effective use of data for evidence-based decisions that underpin work to improve the health and wellbeing of Camden through projects such as establishing person-level, longitudinal records for research and undertaking data linkage of disparate datasets.

The post-holder will report to the Head of Health Intelligence but work in collaboration with the Councils wider data functions including Data Architecture, Data Engineering, and Data Governance to ensure alignment across the Council. We recognise that Analytics Engineering is a relatively new profession and welcome applications from those coming from a data analytics, data science, or engineering skillset.

Your work will involve:

Gathering requirements and translating these into clear deliverables, including proactively developing relationships to break down data barriers on behalf of the team

Working with data analysts, engineers, architects, and other data professionals to prioritise, plan and deliver work against organisational standards such as our corporate data model. Specifically, you will lead on work to create Enterprise, Integration, and Presentation data layers for use by Data Analysts from Base and Enterprise layers provided by other Data Professionals, linking across datasets while tackling data quality gaps

Proactive and responsive development and maintenance of flexible, quality-assured, dimensional models for use by analysts, ensuring dimensions are conformed wherever possible

Developing tools to collect, store and present data, metadata, and documentation that enable people to gather and apply insights from data effectively

Drawing attention to data quality and data governance issues, including issues affecting equity of services, and support with efforts to improve problems in these areas where they arise

Helping data users to automate their work, supporting them with approach such as Reproducible Analytical Pipelines and data normalisation as well as technologies such as Denodo and Microsoft Purview

Supporting data analysts write robust, reuseable, and assured analytical code though functionisation, modularisation, version control, unit testing, and package development

Working with data analysts to develop business intelligence tools and process automation to routinely monitor service data and support end users with the use of these tools

In this post you will work with teams using a variety of software including R, Python, SQL, VQL, Denodo, and Git, with the opportunity to help shape our tech stack.