DescriptionOur Future Healthis an ambitious collaboration between the public charity and private sectors designed tohelp people live healthier lives for longer through better prevention earlierdetectionand improved treatment of diseases. We will speed up the discovery of new methods of early disease detection and the evaluation of new diagnostic tools to helpidentifyand treat diseases earlywhen outcomes are usually better. With over 2.5M volunteers across the UKwerenow the worlds biggest health researchprogrammeof its kind and our volunteer group is also more diverse than other similar health researchprogrammes.
Technology and data are central to our systems power web sites clinics across the UKsecureanalyticsand researchsystemspipelines thatprocesshighly sensitivehealthand geneticdata and we are continuing to grow our engineering capability to support this ambition.
Werenow growing ouranalytics engineering capabilityrecognisingit as critical to unlocking the value of our data. This is a chance to join early shape the function and work on genuinely unique health data challenges.
Youlljoin ourAnalytics Platform team a cross-functional group building the data foundations thatenable ouranalysts data scientists and researchers across theorganisationto unlock data to drive strategic and operational decision making. Your focus will be turning raw data into reliable well-modelled datasets that others can trust and reuse.
Why join
- Work withlarge-scale real-world health data
- Buildtrusted reusable data productsused across science and business
- Help developdata quality testing and observabilityfrom the ground up
- Enableself-serve and AI-powered analyticsfor non-technical users
- Join at an early stage of team growth withreal influence even at mid-levelyoulllead initiatives and work directly with stakeholders
- Mission-led: your work contributes to improving health outcomes at scale
You will:
Build high-quality data models
- Design andmaintainscalabledbtmodels in Snowflake (data marts metrics reusable datasets)
- Apply and evolve consistent modelling standards
- Ensure data models are well documented andappropriate metadataandobservability is in place
Partner with business and science teams to enable great analytics
- Coach analysts data scientists and researchers on best practices (modelling testing documentation data quality)
- Support teams to own and safely contribute to shared data models
- Turn exploratory analysis into reliable production-ready datasets
- Improve data quality documentation and reproducibility in workflows
Improve data quality and reliability
- Implement automated testing and monitoring
- Work with platform engineers to resolve issues andoptimiseperformance
- Proactivelyoptimiseand improve query performance andpipelines
Support self-serve analytics
- Build andmaintainsemantic layers in Snowflake and Omni
- Provide clear documentation and guidance for governed self-serve use
Collaborate across the analytics platform
- Support ingestion workflows data contracts and quality standards
- Contribute to performance orchestration and CI/CD improvements
Were London-based (Holborn) and work on a flexible hybrid basis (typically weekly with a team day every 2 weeks). Wed like to prioritise candidates who can reasonably commute and benefit from in-person collaboration.
RequirementsWe welcome applications from all who may not feel they match the full criteria so if you have most of the belowwedlike to hear from you:
Essential:
- Strongexperience in analytics engineering or a closely related field.
- Excellentbusiness acumen; able to translate problems into clear metrics and data models.
- Very experiencedin SQL and analytics data modelling.
- Experience withPython for data ingestion and automation.
- Familiarity with Snowflake or similar data warehouses.
- Hands-on experience withdbtin production environments.
- Understanding of metrics KPIs and analytical design patterns.
- Experience partnering with analystsanddata scientists.
- Ability to coach and support others raising analytics capability across the organisation.
- Clear collaborative communication skills.
Bonus / Desirable
- Experience enabling domain teams to own andmaintaintheir analytics models.
- Exposure to product analytics tools ().
- Interest inplatform leveltopics such as performance orchestration or CI/CD.
Benefits- Competitive base salary from 65000
- Generous Pension Scheme We invest in your future with employer contributions of up to 12%
- 30 Days Holiday pro rata Bank Holidays Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
- Enhanced Parental Leave Supporting you during lifes biggest moments
- Cycle to Work Scheme Save 25-39% on a new bike and accessories through salary sacrifice
- Home & Tech Savings Get up to 8% off on IKEA and Currys products spreading the cost over 12 months through salary sacrifice
- EV Scheme Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice
- 1000 Employee Referral Bonus Know someone amazing Get rewarded for bringing them on board!
- Wellbeing Support Access to Mental Health First Aiders plus 24/7 online GP services and an Employee AssistanceProgrammefor you and your family
- A Great Place to Work We have a lovely Central London office in Holborn and offer flexible and remote working arrangements
Join us -letsprevent disease together.
We recommend you apply as soon as possible as occasionally due to high volumes ofapplicationswe need to close our postings early.
At Our Future Health werecognisethe importance of having a diverse workforce and ensuring that all candidates regardless of their background haveequitableaccess to our application process. We proactively encourage applicants who identify as havinga disability neurodiversity or long-term health conditions to let us know if theyrequireany reasonable adjustments as part of their application process.
If you dorequireany reasonable adjustments please email us at
Required Experience:
IC
DescriptionOur Future Healthis an ambitious collaboration between the public charity and private sectors designed tohelp people live healthier lives for longer through better prevention earlierdetectionand improved treatment of diseases. We will speed up the discovery of new methods of early disease...
DescriptionOur Future Healthis an ambitious collaboration between the public charity and private sectors designed tohelp people live healthier lives for longer through better prevention earlierdetectionand improved treatment of diseases. We will speed up the discovery of new methods of early disease detection and the evaluation of new diagnostic tools to helpidentifyand treat diseases earlywhen outcomes are usually better. With over 2.5M volunteers across the UKwerenow the worlds biggest health researchprogrammeof its kind and our volunteer group is also more diverse than other similar health researchprogrammes.
Technology and data are central to our systems power web sites clinics across the UKsecureanalyticsand researchsystemspipelines thatprocesshighly sensitivehealthand geneticdata and we are continuing to grow our engineering capability to support this ambition.
Werenow growing ouranalytics engineering capabilityrecognisingit as critical to unlocking the value of our data. This is a chance to join early shape the function and work on genuinely unique health data challenges.
Youlljoin ourAnalytics Platform team a cross-functional group building the data foundations thatenable ouranalysts data scientists and researchers across theorganisationto unlock data to drive strategic and operational decision making. Your focus will be turning raw data into reliable well-modelled datasets that others can trust and reuse.
Why join
- Work withlarge-scale real-world health data
- Buildtrusted reusable data productsused across science and business
- Help developdata quality testing and observabilityfrom the ground up
- Enableself-serve and AI-powered analyticsfor non-technical users
- Join at an early stage of team growth withreal influence even at mid-levelyoulllead initiatives and work directly with stakeholders
- Mission-led: your work contributes to improving health outcomes at scale
You will:
Build high-quality data models
- Design andmaintainscalabledbtmodels in Snowflake (data marts metrics reusable datasets)
- Apply and evolve consistent modelling standards
- Ensure data models are well documented andappropriate metadataandobservability is in place
Partner with business and science teams to enable great analytics
- Coach analysts data scientists and researchers on best practices (modelling testing documentation data quality)
- Support teams to own and safely contribute to shared data models
- Turn exploratory analysis into reliable production-ready datasets
- Improve data quality documentation and reproducibility in workflows
Improve data quality and reliability
- Implement automated testing and monitoring
- Work with platform engineers to resolve issues andoptimiseperformance
- Proactivelyoptimiseand improve query performance andpipelines
Support self-serve analytics
- Build andmaintainsemantic layers in Snowflake and Omni
- Provide clear documentation and guidance for governed self-serve use
Collaborate across the analytics platform
- Support ingestion workflows data contracts and quality standards
- Contribute to performance orchestration and CI/CD improvements
Were London-based (Holborn) and work on a flexible hybrid basis (typically weekly with a team day every 2 weeks). Wed like to prioritise candidates who can reasonably commute and benefit from in-person collaboration.
RequirementsWe welcome applications from all who may not feel they match the full criteria so if you have most of the belowwedlike to hear from you:
Essential:
- Strongexperience in analytics engineering or a closely related field.
- Excellentbusiness acumen; able to translate problems into clear metrics and data models.
- Very experiencedin SQL and analytics data modelling.
- Experience withPython for data ingestion and automation.
- Familiarity with Snowflake or similar data warehouses.
- Hands-on experience withdbtin production environments.
- Understanding of metrics KPIs and analytical design patterns.
- Experience partnering with analystsanddata scientists.
- Ability to coach and support others raising analytics capability across the organisation.
- Clear collaborative communication skills.
Bonus / Desirable
- Experience enabling domain teams to own andmaintaintheir analytics models.
- Exposure to product analytics tools ().
- Interest inplatform leveltopics such as performance orchestration or CI/CD.
Benefits- Competitive base salary from 65000
- Generous Pension Scheme We invest in your future with employer contributions of up to 12%
- 30 Days Holiday pro rata Bank Holidays Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
- Enhanced Parental Leave Supporting you during lifes biggest moments
- Cycle to Work Scheme Save 25-39% on a new bike and accessories through salary sacrifice
- Home & Tech Savings Get up to 8% off on IKEA and Currys products spreading the cost over 12 months through salary sacrifice
- EV Scheme Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice
- 1000 Employee Referral Bonus Know someone amazing Get rewarded for bringing them on board!
- Wellbeing Support Access to Mental Health First Aiders plus 24/7 online GP services and an Employee AssistanceProgrammefor you and your family
- A Great Place to Work We have a lovely Central London office in Holborn and offer flexible and remote working arrangements
Join us -letsprevent disease together.
We recommend you apply as soon as possible as occasionally due to high volumes ofapplicationswe need to close our postings early.
At Our Future Health werecognisethe importance of having a diverse workforce and ensuring that all candidates regardless of their background haveequitableaccess to our application process. We proactively encourage applicants who identify as havinga disability neurodiversity or long-term health conditions to let us know if theyrequireany reasonable adjustments as part of their application process.
If you dorequireany reasonable adjustments please email us at
Required Experience:
IC
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