At a Glance
- Tasks: Shape the future of our analytics platform and lead impactful projects.
- 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.
- Why this job: Make a real difference in health while advancing your tech career.
- Qualifications: Experience in data platforms, Python, and strong technical leadership skills.
The predicted salary is between 95000 - 95000 £ per year.
In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high‑quality insight across Our Future Health. As a Staff Analytics Platform Engineer, you'll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You'll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data.
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:
- Co‑owning the analytics platform architecture, designing end‑to‑end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments.
- Defining and driving the long‑term technical vision for the analytics platform, ensuring it is scalable, cost‑efficient, secure, and easy for data consumers to use.
- Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem.
- Leading high‑impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity.
- Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code.
- Acting as the technical escalation point for complex, cross‑cutting platform issues and guiding teams toward robust, scalable solutions.
- Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns.
- Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale.
- Collaborating with data product and engineering teams to enable safe, scalable ingestion and well‑defined data contracts.
- Influencing how teams design and interact with data systems, raising engineering standards across the organisation.
- Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function.
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:
- Deep experience building and running modern data platforms in complex, multi‑team environments.
- Excellent Python engineering skills and the ability to design scalable, reliable platform components.
- Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability.
- Hands‑on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources.
- Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement.
- Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments.
- Ability to diagnose complex, cross‑cutting issues across data, infrastructure, and analytical workloads.
- A track record of improving developer experience and reducing friction in data development.
- Clear, influential communication skills with the ability to align teams around platform strategy.
- Experience mentoring engineers and raising capability across data and platform teams.
- Hands‑on dbt and analytics CI/CD experience.
- Experience with Kubernetes and cloud‑native environments.
- Familiarity with semantic layers and BI tooling (e.g. Omni).
- Experience supporting secure notebook environments (Coder, Jupyter, RStudio).
- Comfort working in regulated environments with strong governance and audit needs.
- Knowledge of Terraform, data governance models, and data observability tooling.
Benefits:
- Salary from £95,000 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. If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.
Staff Analytics Platform Engineer employer: Our Future Health UK
At Our Future Health UK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Remote Product Manager, you'll have the opportunity to make a meaningful impact in health tech while enjoying flexible working arrangements, professional development opportunities, and a supportive team environment that values your contributions. Join us in shaping the future of health research and be part of a mission-driven organisation dedicated to improving lives through data.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Analytics Platform Engineer
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We think you need these skills to ace Staff Analytics Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Our Future Health UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Our Future Health UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Our Future Health UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Our Future Health UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.