Health Data Engineer (Associate Consultant)
Data engineer in LCP's Health consultancy practice, building analytical databases and production-grade ELT pipelines from clients' raw health and life-sciences data. Core stack is Azure (Data Factory, Databricks, SQL) with Python, Git-based CI/CD, plus governed use of automation/AI tooling.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum 2:1 degree (or equivalent) in Computer Science, Software Engineering, or related discipline
- 3+ years data engineering (or similar) experience in UK healthcare and/or life sciences industry
- Experience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL server/SQL databases
- Experience with version control and CI/CD pipelines (e.g. Azure DevOps, Git)
- Excellent programming skills in SQL and Python
- Hands-on experience building ELT data pipelines
- Solid understanding of data engineering principles
- Familiarity with AI/LLM-based tooling or applications
- Excellent problem-solving skills with a practical approach to complex technical and operational challenges
- Comfortable working in a small, dynamic, multidisciplinary team and leading day-to-day project activities
- Excellent communication skills, able to explain technical concepts to non-technical stakeholders
- Excellent organisational skills
Nice to have
- Programming experience in R
- Experience working with sensitive data or settings requiring traceability, reproducibility and quality assurance
- Familiarity with data quality frameworks and regulatory guidance for real world health data
Full description
Health Data Engineer (Associate Consultant)
Business area Health Location London and Winchester Job ID 325730 Location - London or Winchester Hybrid working - as per departmental requirements
In 2020, LCP launched its Health practice, providing analytical and research services across healthcare and life sciences. Our team brings together clinicians, statisticians, epidemiologists, health economists and health data scientists, alongside LCP's established actuarial, analytics and technology expertise, to develop innovative solutions to some of the most important challenges in health. We have grown rapidly in response to strong demand for our services and are now looking for a Health Data Engineer (Associate Consultant) You will play an important part in strengthening LCP Health's capabilities in delivering analytics projects where there is a requirement to construct analytical databases from clients' raw and unstructured data.
What will you be doing?
As a Heath Data Engineer (Associate Consultant) in LCP's Health team, you will across a diverse range of data engineering projects that support both client delivery and the development of reusable internal capabilities.
- Design and implement robust data analytical, reporting and operational requirements across complex health data
- Develop and maintain analytical databases that integrate structured and unstructured data from multiple sources
- Develop and maintain reliable, production-grade technical infrastructure to support analytical and operational processes
- Automate and improve workflows across data processing, data management, analysis and reporting
- Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications
- Contribute to good engineering practice through documentation, code review, version control and continuous improvement of technical standards
- Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications
- Identify opportunities to improve data management, engineering processes and delivery approaches across the LCP Health team
- Support cloud-based architecture, particularly in Azure, including performance optimisation, resilience and scalability
- Work closely with clinicians, analysts, statisticians, epidemiologists, health economists and other colleagues to turn complex analytical requirements into practical engineering solutions
- Support the secure, reliable and appropriately governed use of automation and AI tools, particularly in contexts involving sensitive or high-assurance health data
What skills, experience and qualities are we looking for?
- A minimum 2:1 degree (or equivalent) in Computer Science, Software Engineering, or a related discipline