- Company Name
- Oxford University Hospitals NHS Foundation Trust
- Job Title
- Senior Software and Data Engineer
- Job Description
-
Job Title: Senior Software and Data Engineer
Role Summary: Design, develop, and maintain a secure, scalable platform for health data research and delivery. Collaborate with data scientists, clinicians, and researchers to build robust software solutions for automatic data management and support clinical and translational research.
Expectations: Demonstrated expertise in data engineering and machine learning, proficiency in Python, SQL, and JavaScript, experience with CI/CD pipelines and agile methodology, strong problem‑solving and leadership abilities, and ability to communicate effectively with interdisciplinary teams.
Key Responsibilities:
• Design, implement, and maintain software components in Python, SQL, and JavaScript.
• Build and optimize data pipelines and services for automated data management.
• Develop data models and APIs that support high‑value clinical and translational research.
• Apply continuous integration/continuous delivery practices to ensure rapid, reliable releases.
• Resolve complex technical challenges and provide guidance to junior team members.
• Collaborate with data scientists, clinicians, and NHS clinical teams to improve data quality and availability.
Required Skills:
• Advanced programming in Python, SQL, and JavaScript.
• Data engineering: data ingestion, transformation, storage, and workflow orchestration.
• Machine learning fundamentals and experience applying ML techniques to health data.
• CI/CD tooling (e.g., GitLab CI, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
• Agile development practices and experience in iterative delivery.
• Strong analytical, debugging, and troubleshooting capabilities.
• Leadership and mentoring skills; effective cross‑functional communication.
Required Education & Certifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Biomedical Informatics, or a related discipline, or equivalent professional experience.
• Professional certifications in data engineering, cloud platforms (AWS/GCP/Azure), or machine learning are advantageous.