About The Role

Join our pioneering team as a Senior Data Engineer, where you'll leverage your deep expertise in healthcare data to build scalable data pipelines and create high-quality, research-ready datasets. You'll work at the intersection of engineering, data science, and epidemiology, collaborating with various teams to deliver impactful data solutions. This role offers a competitive salary, generous benefits, and the opportunity to work in a flexible and remote environment.

Design and build scalable data pipelines that transform complex health records into trusted, research-ready datasets.
Develop and maintain data transformation logic in Python to create high-quality, curated and research-ready datasets.
Collaborate with data scientists, epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions.
Experience working with cloud platforms, ideally Microsoft Azure
Experience working within Agile delivery teams
Proficiency in Python and software engineering best practices
Proven Data Engineering experience within complex, large-scale data environments
Experience working with healthcare data across academia, healthcare, life sciences, health technology or related sectors
Good command-line and Unix/Linux skills
Experience with containerisation and orchestration technologies, including Docker and Kubernetes
Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes
Knowledge of healthcare data standards and common data models, including OMOP and/or FHIR
Experience using Git/GitHub and working within collaborative development environments
Experience designing, building and maintaining scalable, reliable data pipelines that process large volumes of data from multiple sources
Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake
Experience transforming and remodelling data between different Common Data Models (CDMs)
Experience contributing to shared codebases and developing reusable, maintainable data solutions
Experience using technologies such as Spark, Databricks and data lake architectures

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