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- Tasks: Transform raw health data into reliable datasets and support analytics across teams.
- Company: Join a mission-driven organisation focused on improving health outcomes through innovative data solutions.
- Benefits: Competitive salary, generous holiday allowance, pension scheme, and wellbeing support.
- Why this job: Make a real impact on health research while developing your analytics engineering skills.
- Qualifications: Experience in analytics engineering, SQL, and data modelling; strong communication skills.
- Other info: Flexible hybrid working in a supportive and diverse environment.
The predicted salary is between 65000 - 65000 £ per year.
Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and 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 help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we’re now the world’s biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission.
Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. We’re now growing our analytics engineering capability, recognising it 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. You’ll join our Analytics Platform team, a cross-functional group building the data foundations that enable our analysts, data scientists, and researchers across the organisation to 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 with large-scale, real-world health data
- Build trusted, reusable data products used across science and business
- Help develop data quality, testing, and observability from the ground up
- Enable self-serve and AI-powered analytics for non-technical users
- Join at an early stage of team growth with real influence; even at mid-level, you’ll lead 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 and maintain scalable dbt models in Snowflake (data marts, metrics, reusable datasets)
- Apply and evolve consistent modelling standards
- Ensure data models are well documented and appropriate metadata and observability 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
- Implement automated testing and monitoring
- Work with platform engineers to resolve issues and optimise performance
- Proactively optimise and improve query performance and pipelines
- Build and maintain semantic layers in Snowflake and Omni
- Provide clear documentation and guidance for governed self-serve use
- Support ingestion workflows, data contracts, and quality standards
- Contribute to performance, orchestration, and CI/CD improvements
We’re London-based (Holborn) and work on a flexible hybrid basis (typically weekly with a team day every 2 weeks). We’d like to prioritise candidates who can reasonably commute and benefit from in-person collaboration. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we’d like to hear from you:
Essential:
- Strong experience in analytics engineering or a closely related field.
- Excellent business acumen; able to translate problems into clear metrics and data models.
- Very experienced in SQL and analytics data modelling.
- Experience with Python for data ingestion and automation.
- Familiarity with Snowflake or similar data warehouses.
- Hands-on experience with dbt in production environments.
- Understanding of metrics, KPIs, and analytical design patterns.
- Experience partnering with analysts and data 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 and maintain their analytics models.
- Exposure to product analytics tools (e.g., Mixpanel).
- Interest in platform level topics such as performance, orchestration, or CI/CD.
Competitive base salary from £65,000. 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 life’s 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. £1,000 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 Assistance Programme for 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 - let’s prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.
Analytics Engineer employer: Our Future Health
Contact Detail:
Our Future Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-world examples from your experience to demonstrate how you can tackle the unique challenges in analytics engineering. Remember, confidence is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. At StudySmarter, we believe in the power of technology and data to improve lives, so look for roles that resonate with that mission.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight why you’re the perfect fit.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in analytics engineering. Use keywords from the job description to show us you understand what we're looking for!
Showcase Your Skills: Don’t just list your skills; give us examples of how you've used them in real-world scenarios. Whether it's SQL, Python, or data modelling, we want to see how you’ve made an impact in previous roles.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to read and free of jargon. This will help us understand your qualifications quickly!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly, and it helps us keep track of all applicants efficiently!
How to prepare for a job interview at Our Future Health
✨Know Your Data Models
Make sure you’re well-versed in data modelling concepts, especially in SQL and dbt. Be ready to discuss how you've built high-quality data models in the past and how you can apply those skills to create reliable datasets for the team.
✨Showcase Your Collaboration Skills
This role involves working closely with analysts and data scientists. Prepare examples of how you've partnered with cross-functional teams in previous roles, and be ready to explain how you can coach others on best practices in analytics.
✨Demonstrate Your Problem-Solving Ability
Think about specific challenges you've faced in analytics engineering and how you overcame them. Be prepared to discuss how you translate complex problems into clear metrics and data models, as this will be crucial for the role.
✨Prepare Questions About Their Mission
Since the company is mission-led, show your enthusiasm by preparing thoughtful questions about their goals in health research. This not only demonstrates your interest but also helps you understand how you can contribute to their mission of improving health outcomes.