Location
5 Pancras Square, London, N1C 4AG

Hours
Full Time - 36 hours per week

Salary
£55,581 per annum

About the Role
Join Camden Council’s Public Health Intelligence team and play a key role in transforming how data is used to improve public health outcomes. As a Senior Data Analytics Engineer, you will work at the intersection of public health, data engineering, and analytics to enable evidence-based decisions that enhance population health and reduce inequalities. You will contribute to innovative initiatives such as Raise Camden, which builds linked, longitudinal records to better understand child wellbeing, and the Estates Mission, which integrates data to improve services for those with the greatest need. Your work will directly influence how Camden supports its communities by designing scalable, secure, and reproducible data pipelines that integrate diverse datasets from clinical records to housing and education. You will align health data with corporate models and virtualisation platforms like Denodo, build dimensional models and intuitive tools for analysts and policymakers, and lead complex data projects while navigating governance challenges. Additionally, you will guide analysts in best practices for software development using R, Python, SQL, and Git, helping to foster a culture of data innovation and collaboration.

Experience
- A relevant qualification or at least 3 years’ professional experience in data analysis, data science, or data engineering.
- Strong skills in SQL, data modelling, and experience with virtualisation technologies such as Denodo or similar.
- Proficiency in R or Python and experience supporting reproducible analytical pipelines.
- Knowledge of public health, NHS data, clinical coding systems (ICD-10, SNOMED-CT), and public sector data governance.
- Proven ability to translate complex data needs into clear deliverables while managing competing stakeholder priorities.

About You
- A proactive and collaborative mindset focused on improving the use of data and information.
- Passionate about public health and data innovation with a commitment to driving real-world impact.
- Skilled at building trusted relationships with stakeholders and overcoming governance barriers to data sharing.

Qualifications
- Relevant academic or professional qualifications in data analysis, data science, engineering, or a related field are required or equivalent professional experience.