Senior Data Engineer
Core
Design and build scalable data pipelines transforming complex health records into trusted, research-ready datasets for scientists and researchers tackling global health challenges.
Role type
Senior IC data engineer (healthcare)
Builds
Scalable data pipelines, curated datasets, and reusable data products for health research
Domain
Healthcare data engineering, epidemiology, life sciences
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Azure, Spark, Databricks, Docker, Kubernetes, Git/GitHub, Unix/Linux, data modeling, data governance, OMOP, FHIR, SNOMED CT, ICD-10, Read Codes
Preferred skills
Experience in academia, healthcare, biotech, or health-tech startups
Technologies
Azure, Databricks, Spark, Apache Parquet, Delta Lake
Responsibilities
Designing and building scalable data pipelines ingesting healthcare data; Developing and maintaining data transformation logic in Python; Processing large-scale healthcare datasets and implementing robust data quality, validation and governance controls; Transforming and harmonising healthcare data into common data models such as OMOP and FHIR; Creating reusable, scalable and maintainable data products; Producing clear and comprehensive technical documentation covering data pipelines, transformation logic, architecture and operational processes
Seniority
Senior, hands-on IC