As a Data Engineer, you will play a critical role at the intersection of healthcare, data, and innovation — transforming raw information into powerful insights that drive clinical excellence and operational efficiency.
You will be instrumental in ensuring the stability, security, and performance of our Federated Data Platform (FDP), enabling seamless, real-time decision-making across the organisation. Your work will directly support safer patient care, smarter resource planning, and system-wide improvements in population health outcomes.
Working collaboratively with fellow data engineers, analysts, clinicians, and operational leaders, you will design and deliver robust, scalable, and reusable data solutions. You’ll help shape the future of our analytics environment, bridging the technical and business worlds to ensure the right data reaches the right people — at the right time.
Location: London, United Kingdom
Salary: £64,156 to £71,148 a year per annum
Job type: Full-time
Roles & Responsibilities
1. Data Pipeline Development & Integration
- Design, build, and maintain robust, scalable, and secure data pipelines from multiple clinical and operational sources into the FDP
2.Data Modelling & Ontology Management
- Develop and maintain semantic data models (e.g., ontologies in Palantir Foundry) that map complex healthcare concepts (patients, episodes, care settings) into usable analytics objects.
3. Federated Data Platform (FDP) Stewardship
- Monitor platform performance, data integrity, and lineage across Trusts or systems using FDP tools.
4.BI Strategy & Reporting Enablement
– Support and co-develop dashboards, reports, and self-service FDP tools in the platform (e.g., Contour).
5.Collaboration & Stakeholder Engagement
- Partner with clinical, operational, and executive stakeholders to gather requirements and translate them into data products and decision-support tools.
6. Data Quality & Continuous Improvement
- Proactively identify data quality issues, implement validation checks, and contribute to data quality frameworks.
- Provide support for data access, pipeline failures, or performance issues in collaboration with IT and platform teams.
7.Knowledge Sharing & Capacity Building
- Mentor junior engineers and analysts in using the FDP tools and maintaining a high standard of data engineering practice.
- Keep abreast of emerging data technologies (e.g., FHIR APIs, LLMs. Pyspark for structured-unstructured blending, synthetic data).
Eligibility Requirements
Trust Values
Essential
- Putting patients first
- Responsive to patients and staff
- Open and honest
- Unfailingly kind
- Determined to develop
Education and Qualifications
Essential
- Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Technology, or a related field
Desirable
- Certifications in data engineering or related areas (e.g., Microsoft Certified: Azure Data Engineer, Google Cloud Professional Data Engineer)
- Advanced degrees (Master’s or Ph.D.) in Data Science, Computer Science, or related field.
Note
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Application Process
For more information and Application, CLICK HERE
