At a Glance
- Tasks: Design and maintain analytics-ready data models to power scalable insights.
- Company: Join Our Future Health, a mission-driven organisation transforming healthcare.
- Benefits: Competitive salary, generous holiday, pension scheme, and wellbeing support.
- Other info: Flexible working arrangements and a supportive, diverse workplace culture.
- Why this job: Make a real impact on health analytics and help future generations live healthier lives.
- Qualifications: Experience in analytics engineering, Python, and dbt; strong communication and coaching skills.
The predicted salary is between 80000 - 80000 € per year.
We're looking for a Senior Analytics Platform Engineer. In this role you will help shape the future of data at Our Future Health by building the foundations that power trusted, scalable analytics across the organisation.
As a Senior Analytics Platform Engineer, you'll design and maintain analytics‑ready data products that enable consistent, reliable insight at scale. You'll work across the analytics platform, data product teams, and scientific users to improve how data is modelled, documented, and adopted, while also coaching others to build high‑quality analytical assets with confidence. This is a role where your impact multiplies, success means everyone can build better analytics, not just you.
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. We're looking for people to join us on our journey. If you're looking for a new challenge where you can contribute to helping future generations live in good health for longer, then we're keen to speak with you.
What you'll be doing:
- Designing and maintaining analytics‑ready data models in Snowflake using dbt, including data marts, metrics, and reusable analytical datasets
- Applying scalable modelling patterns and contributing to organisation‑wide standards and conventions
- Coaching analysts, data scientists, and science teams in analytics engineering best practice, modelling, testing, documentation, and data quality
- Enabling domain teams to own and maintain their data marts safely and confidently, with guidance and review to ensure alignment with platform standards
- Partnering with internal researchers to translate exploratory analysis into repeatable, well‑modelled datasets with clear definitions and reproducible insights
- Shaping analytical products around real use cases, ensuring data marts are intuitive, discoverable, and fit for purpose
- Owning data quality at the analytics layer, using dbt tests, monitoring, and close collaboration with platform engineers to resolve issues
- Building and maintaining the semantic layer in Snowflake and Omni to support consistent, self‑serve analytics
- Supporting adoption of Omni through documentation, examples, and hands‑on guidance
- Collaborating with data product teams on ingestion, data contracts, and quality expectations
- Working closely with Analytics Platform Engineers on dbt execution patterns, performance optimisation, and CI/CD improvements
- Mentoring mid‑level analytics engineers and contributing to a culture of high‑quality, scalable analytics
What you won't be doing:
- Working in a siloed environment with no freedom to make decisions.
- Working in a place where you can't see the impact your expertise makes.
Requirements:
To succeed in this role you will be able to demonstrate some of the following skills and experience:
- Proven analytics engineering experience with a track record of building analytics‑ready datasets
- Python engineering ability to produce clean, maintainable, production‑grade code
- Hands‑on dbt expertise including modelling, testing, documentation, and data quality
- Understanding of metrics and KPIs and how to translate them into well‑structured data models
- Experience working with analysts and data scientists to support and enable analytical work
- Clear, empathetic communication to explain modelling decisions to non‑engineers
- A coaching mindset that helps domain teams take ownership of their models
- Strong analytical problem‑solving with a focus on clarity, simplicity, and maintainability
- Comfort navigating complex data ecosystems and shaping standards across teams
- Interest in platform‑level concerns such as performance, orchestration, CI/CD, and reliability
- Experience with cloud‑native tooling including Kubernetes and containers
- Familiarity with semantic layers such as Snowflake, Omni, or Looker
- Experience in regulated or scientific environments where governance and reproducibility matter
Benefits:
- Salary from £80,000 per annum
- Generous Pension Scheme - We invest in your future with employer contributions of up to 12%
- 30 Days Holiday + 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
- £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.
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.
Senior Analytics Platform Engineer in London employer: Our Future Health UK
At Our Future Health, we pride ourselves on being an exceptional employer dedicated to transforming healthcare through data innovation. Our collaborative work culture fosters professional growth, with ample opportunities for mentorship and skill development in a supportive environment. Located in the heart of Central London, we offer competitive benefits, including a generous pension scheme, flexible working arrangements, and a commitment to employee wellbeing, making it an ideal place for those looking to make a meaningful impact in health analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Our Future Health on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your analytics engineering skills. Be ready to discuss your experience with dbt, Python, and data modelling. Show us how you can make an impact!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! If you have a portfolio of projects or case studies, bring them along to showcase your work and how it aligns with what we do at Our Future Health.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission to transform health for future generations.
We think you need these skills to ace Senior Analytics Platform Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with analytics engineering, dbt, and Python. We want to see how your skills align with the role of Senior Analytics Platform Engineer!
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. We love to see how you've contributed to building analytics-ready datasets and improved data quality.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your modelling decisions and experiences, as we appreciate clarity and simplicity in communication.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Our Future Health UK
✨Know Your Data Models
Before the interview, brush up on your knowledge of analytics-ready data models, especially in Snowflake and dbt. Be prepared to discuss how you've designed and maintained these models in past roles, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coaching Skills
Since this role involves mentoring others, think of specific examples where you've coached analysts or data scientists. Highlight how you helped them improve their skills in analytics engineering best practices, and be ready to explain your coaching mindset.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might need to describe your modelling decisions to non-engineers, so focus on clarity and empathy in your communication style. Consider doing mock interviews with friends to refine this skill.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss your analytical problem-solving approach. Think of examples where you navigated complex data ecosystems or shaped standards across teams. Be ready to explain how you prioritise clarity, simplicity, and maintainability in your solutions.
