• 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
• This is an opportunity to work with some of the UK’s most valuable health datasets, transforming complex requirements into robust, secure, and scalable data solutions
• While technical excellence is important, success in this role is defined by your ability to build pipelines that are reliable, compliant, and secure when handling sensitive health data
• You’ll work closely with Engineering Managers, Lead Data Engineers, researchers, and domain experts to deliver data products that make a real-world impact
• We’re far more interested in engineers who understand good data engineering principles, can design secure pipelines, and can translate technical requirements into reliable solutions
• At Our Future Health, our mission is to transform the prevention, detection and treatment of conditions such as dementia, cancer, diabetes, heart disease and stroke
• 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
• Many Data Engineering roles focus primarily on building pipelines. This role is different. Here, the greatest challenge is ensuring that every pipeline is secure, governed, auditable, and trustworthy. You’ll be working with sensitive health data that has the potential to transform research outcomes, making security, quality, and engineering judgement just as important as technical delivery

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.

• We’re looking for a Data Engineer who can take a design or architecture document, understand the intent behind it, and confidently build a secure, scalable solution
• You don’t need experience with every tool in our stack
• Experience using Dagster or other workflow orchestration platforms
• Knowledge of healthcare coding systems and standards such as SNOMED CT, ICD, or READ codes
• Ability to review technical designs and architecture documents and translate them into practical implementations
• Understanding of metadata management and data governance frameworks
• Understanding of cloud-based data platforms, ideally Azure
• Proven experience building production-grade data pipelines and ETL processes
• Excellent stakeholder management and communication skills
• SQL and data modelling experience
• Excellent Python skills with experience developing scalable data solutions
• Experience using GitHub and modern software engineering practices
• Experience conducting code reviews and maintaining engineering standards
• Experience with Databricks
• Experience with Kubernetes
• Excellent problem-solving skills and an ability to challenge requirements constructively when needed
• Experience working with NHS or healthcare datasets
• Experience working with sensitive or regulated data and knowledge of secure data handling principles
• Experience working with PySpark or distributed data processing frameworks
• If you’re an engineer who enjoys solving complex data problems, questioning assumptions, and building secure systems that make a meaningful difference, we’d love to hear from you