Job Description

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.
Details
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. 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.
Person Specification
Qualifications
Essential

• Suitable undergraduate or postgraduate qualification in a relevant field such as data analysis, data science, or computer science, or equivalent professional experience (3+ years)

Experience
Essential

• Strong knowledge of SQL, data modelling, and the use of Denodo or similar data virtualisation and integration software to support Reproducible Analytical Pipelines and ETL/ELT processes
• Experience in data governance, particularly within the public sector or with health or social care
• Experience with undertaking analysis with R or Python and/or supporting analysts who use R and/or Python to embed software development practices
• Expertise in collecting user needs and translating these into actionable work plans and products

Person Specification
Qualifications
Essential

• Suitable undergraduate or postgraduate qualification in a relevant field such as data analysis, data science, or computer science, or equivalent professional experience (3+ years)

Experience
Essential

• Strong knowledge of SQL, data modelling, and the use of Denodo or similar data virtualisation and integration software to support Reproducible Analytical Pipelines and ETL/ELT processes
• Experience in data governance, particularly within the public sector or with health or social care
• Experience with undertaking analysis with R or Python and/or supporting analysts who use R and/or Python to embed software development practices
• Expertise in collecting user needs and translating these into actionable work plans and products

Skills Required