Our Future Health UK
Data engineer in health research
Data Engineer building secure, high-quality data pipelines on an Azure-based platform for large-scale health research, curating NHS and healthcare datasets into research-ready assets. Core work is ETL and transformations in Python and PySpark, code reviews, and documentation, with possible use of Databricks, Dagster, and Kubernetes.
- Compensation
- £62K / yr
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proven experience building production-grade data pipelines and ETL processes
- Excellent Python skills with experience developing scalable data solutions
- Experience with PySpark or distributed data processing frameworks
- Experience using GitHub and modern software engineering practices
- Understanding of cloud-based data platforms, ideally Azure
- Experience working with sensitive or regulated data and knowledge of secure data handling principles
- Ability to review technical designs and architecture documents and translate them into practical implementations
- Excellent problem-solving skills and ability to challenge requirements constructively
- Experience conducting code reviews and maintaining engineering standards
- Excellent stakeholder management and communication skills
Nice to have
- Experience working with NHS or healthcare datasets
- Knowledge of healthcare coding systems and standards such as SNOMED CT, ICD, or READ codes
- Experience with Databricks
- Experience with Kubernetes
- Experience using Dagster or other workflow orchestration platforms
- SQL and data modelling experience
- Understanding of metadata management and data governance frameworks
Full description
Описание
We're creating a data platform that enables cutting‑edge health research at unprecedented scale. As a Data Engineer, you'll play a critical role in designing and building the secure, high‑quality data pipelines that power research used by scientists and healthcare innovators around the world.
Задачи
- Building and maintaining data pipelines across our Azure-based platform
- Translating technical specifications, architecture designs, and Jira tickets into secure, scalable implementations
- Developing data transformation and ETL processes using Python and PySpark
- Working with healthcare and NHS datasets to curate trusted, research‑ready data assets
- Reviewing and approving code through pull requests, ensuring consistency, quality, security, and adherence to engineering standards
- Collaborating with researchers, engineers, and stakeholders to understand requirements and deliver solutions
- Identifying risks, challenging assumptions, and asking the right questions to improve designs before implementation
- Producing documentation, source‑to‑target mappings, and supporting technical standards across the platform
- Contributing to best practices in data engineering, security, governance, and cloud architecture
Требования
- Proven experience building production‑grade data pipelines and ETL processes
- Excellent Python skills with experience developing scalable data solutions
- Experience working with PySpark or distributed data processing frameworks
- Experience using GitHub and modern software engineering practices
- Understanding of cloud‑based data platforms, ideally Azure
- Experience working with sensitive or regulated data and knowledge of secure data handling principles
- Ability to review technical designs and architecture documents and translate them into practical implementations
- Excellent problem‑solving skills and an ability to challenge requirements constructively when needed
- Experience conducting code reviews and maintaining engineering standardsExcellent stakeholder management and communication skills
- Будет плюсом: Experience working with NHS or healthcare datasets; Knowledge of healthcare coding systems and standards such as SNOMED CT, ICD, or READ codes; Experience with Databricks; Experience with Kubernetes; Experience using Dagster or other workflow orchestration platforms; SQL and data modelling experience; Understanding of metadata management and data governance frameworks
Условия
Salary from £62,000 per annum. We are interested in applications from people with a range of experience for this role
- Generous Pension Scheme - We invest in your future with employer contributions of up to 12%