The ad says“Experience working within Agile delivery teams”
The ad says“Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake”
The ad says“Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions”
The ad says“Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions”
The ad says“Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions”
The ad says“Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake”
The ad says“Experience with containerisation and orchestration technologies, including Docker and Kubernetes”
The ad says“Whether your experience comes from academia, healthcare, biotech, or a fast-growing health-tech startup, you’ll bring a strong understanding of healthcare data standards such as OMOP or FHIR, alongside the technical leadership required to be a Senior Engineer”
The ad says“Experience using Git/GitHub and working within collaborative development environments”
The ad says“Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes”
The ad says“Experience with containerisation and orchestration technologies, including Docker and Kubernetes”
The ad says“Whether your experience comes from academia, healthcare, biotech, or a fast-growing health-tech startup, you’ll bring a strong understanding of healthcare data standards such as OMOP or FHIR, alongside the technical leadership required to be a Senior Engineer”
The ad says“Developing and maintaining data transformation logic in Python to create high-quality, curated and research-ready datasets”
The ad says“Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes”
The ad says“Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes”
The ad says“Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions”
The ad says“Good command-line and Unix/Linux skills”
We’re looking for a Senior Data Engineer with deep expertise in healthcare data to join a pioneering team building data products that enable world-leading research.
Whether your experience comes from academia, healthcare, biotech, or a fast-growing health-tech startup, you’ll bring a strong understanding of healthcare data standards such as OMOP or FHIR, alongside the technical leadership required to be a Senior Engineer
In this role, you’ll design and build scalable data pipelines that transform complex health records into trusted, research-ready datasets used by scientists and researchers tackling challenges with global significance.
You’ll work at the intersection of engineering, data science and epidemiology, helping to establish best practices, shape technical direction and create reusable, high-quality data products that can operate at industrial scale
Designing and building scalable data pipelines that ingest healthcare data from multiple providers into trusted research environments and data platforms
Developing and maintaining data transformation logic in Python to create high-quality, curated and research-ready datasets
Contributing to complex, shared codebases while following engineering best practices including code reviews, testing and clean coding standards
Collaborating with data scientists, epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions
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 to support research and analytical use cases
Creating reusable, scalable and maintainable data products that enable efficient consumption by multiple stakeholders
Communicating effectively with technical and non-technical stakeholders to translate complex requirements into practical engineering solutions
Producing clear and comprehensive technical documentation covering data pipelines, transformation logic, architecture and operational processes
Supporting the design, scoping and implementation of data flows across the wider healthcare data ecosystem
Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions
Adopting and promoting data engineering best practices, healthcare data standards and continuous improvement across the team
Keeping abreast of emerging trends, technologies and standards within healthcare, research and data engineering to drive innovation and excellence
Benefits
30 days annual leave plus bank holidays.
Generous company pension package with employer contributions of up to 12%
We have a lovely new office in Holborn, Central London and we offer flexible and remote working arrangements.
We offer all employees a life assurance policy.
Training support to help you achieve your potential.
All employees are covered by a group income protection scheme to support them in the event of long term sickness.
Preferred experience
Experience designing, building and maintaining scalable, reliable data pipelines that process large volumes of data from multiple sources
Knowledge of healthcare data standards and common data models, including OMOP and/or FHIR
Experience working with cloud platforms, ideally Microsoft Azure
Good command-line and Unix/Linux skills
Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake
Experience working within Agile delivery teams
Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes
Experience transforming and remodelling data between different Common Data Models (CDMs)
Experience using Git/GitHub and working within collaborative development environments
Experience working with healthcare data across academia, healthcare, life sciences, health technology or related sectors
Experience with containerisation and orchestration technologies, including Docker and Kubernetes
Experience contributing to shared codebases and developing reusable, maintainable data solutions
Experience using technologies such as Spark, Databricks and data lake architectures
Proficiency in Python and software engineering best practices
Proven Data Engineering experience within complex, large-scale data environments
