Location
5 Pancras Square, London, N1C 4AG

Hours
Full Time - 36 hours per week

Salary
£55,581 per annum

About the Role
Join Camden’s Public Health Intelligence team and help transform how we use data to improve lives. We are seeking a Senior Data Analytics Engineer passionate about public health, data innovation, and driving real-world change. This role offers 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 will contribute to ambitious initiatives such as Raise Camden, building linked, longitudinal records to better understand child wellbeing, and the 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.

Key Responsibilities
- Design scalable, secure, and reproducible data pipelines integrating diverse datasets, including clinical records, housing, and education.
- Align Camden’s health data with corporate models and virtualisation platforms like Denodo to ensure 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 related to personal data sharing.
- Design innovative approaches to link and analyse datasets with limited interoperability.
- Guide analysts in software development best practices using R, Python, SQL, and Git.

Experience
- A relevant qualification or a minimum of 3 years’ professional experience in data analysis, data science, or data engineering.
- Strong skills in SQL, data modelling, and experience with Denodo or similar virtualisation technologies.
- Proficiency in R or Python and experience supporting reproducible analytical pipelines.
- Knowledge of public health, NHS data, clinical coding systems such as ICD-10 and 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.
- Strong communication skills to build trusted relationships and lead complex projects.
- Commitment to public health and social equity through data-driven insights.

Qualifications
- Relevant qualification in data analysis, data science, data engineering, public health, or a related field is required or equivalent professional experience.