Senior Data Engineer (Analytics Platform) (ID: vR2IUnFw)

Senior Data Engineer to join our Platform Analytics team and help build the foundations of one of the most ambitious health data platforms in the world.

In this role, you’ll be responsible for designing, developing, and maintaining the data pipelines, warehouses, and automation that power our analytics ecosystem. You’ll work in a cross-functional squad alongside software engineers, analysts, and data scientists—making sure they have seamless access to clean, reliable, and well-structured data to accelerate research and discovery.

By enabling scalable and secure data infrastructure, you’ll play a direct role in helping Our Future Health uncover insights into human health, disease prevention, and treatment—work that will improve lives for generations to come.

What You’ll Do as Senior Data Engineer 

• Design & Implement Pipelines: Build robust, scalable ETL/ELT pipelines to ingest and process participant, NHS, and genomic datasets.
• Data Modelling & Warehousing: Develop efficient, production-ready data models and architectures using Snowflake (or similar cloud data warehouses).
• Enable Analytics: Empower analysts and scientists with well-structured, high-quality data that supports self-service analytics and experimentation.
• Automation & CI/CD: Streamline development workflows with CI/CD pipelines (GitHub Actions preferred) and automation for deployment and testing.
• Cross-Functional Collaboration: Partner with analysts, engineers, and product teams to deliver value iteratively and effectively.
• Governance & Security: Ensure all data handling aligns with best practices for governance, compliance, and privacy—especially when dealing with sensitive healthcare data.
• Innovation & Leadership: Contribute to building a modern data platform from the ground up in a greenfield environment, shaping our tools, standards, and culture.

How We Work Together

• We’re a remote-first team that values both flexibility and connection.
• Twice a month, we meet in person to collaborate, problem-solve, and share lunch.
• Every quarter, we run a strategy day to focus on the bigger picture and plan ahead.
• We also host regular team demos and even a book club—because continuous learning and celebrating progress matter to us.
• These rhythms help us stay connected, build trust, and feel part of something meaningful.

About Us

We are set to be the UK’s largest health research programme. Supported by the UK Government, charities, and industry—and working closely with the NHS, we are building a volunteer community of 5 million people from across the country.

By securely combining health, genomic, and lifestyle data, we will create one of the most detailed pictures of population health ever assembled. Researchers will use this to discover new ways to detect, prevent, and treat diseases earlier—so future generations can live healthier, longer lives.

About You (We don’t expect you to tick every box, but you’ll bring many of the following)

Core Skills & Experience:

• Proven experience building production-grade ETLs, complex pipelines, and data models.
• Deep expertise with SQL and a strong understanding of Snowflake (or BigQuery as an alternative).
• Strong Python programming skills for data engineering tasks.
• Experience with data orchestration tools such as Airflow, Dagster, or similar.
• Proficiency with DBT for data modelling, testing, and quality assurance.
• Hands-on experience enabling self-service analytics for analysts and scientists.
• Strong understanding of CI/CD automation (GitHub Actions preferred).
• Knowledge of data governance, privacy, and security principles—ideally in regulated environments.

Nice to Have:

• Exposure to Kubernetes and cloud infrastructure (Azure preferred).
• Familiarity with infrastructure as code, BI platforms (e.g., Omni, Looker), or product analytics tools (e.g., Mixpanel).

Attributes:

• Collaborative mindset—you enjoy working closely with engineers, analysts, and scientists.
• Pragmatic and iterative—you focus on delivering value quickly while keeping long-term scalability in mind.
• Detail-oriented with a strong sense of responsibility, especially when working with sensitive health data.
• Curious, adaptable, and excited to help shape a platform from the ground up.

Benefits:

• Competitive salary from £74,000
• Generous Pension Scheme – employer contributions up to 12%
• 30 Days Holiday + Bank Holidays – with flexibility on when to take them
• Enhanced Parental Leave – supporting you through life’s milestones
• Career Growth & Learning – £500 annual Learnerbly allowance + regular appraisals
• Cycle to Work Scheme – save up to 39% on bikes & accessories
• Tech & Home Savings – discounts at IKEA and Currys with cost-spreading options
• £1,000 Referral Bonus – for recommending great talent
• Wellbeing Support – mental health first aiders, 24/7 online GP, employee assistance programme
• Flexible Working – remote-first with access to our Central London office in Holborn

Join Us

This is a rare opportunity to join us as a Senior Data Engineer and help build the data platform that will power the future of health research in the UK. If you’re passionate about data engineering and want your work to have a lasting societal impact, we’d love to hear from you.

Position: Data Engineer (Analytics Platform)  -  Job Type: Full-Time  -  Salary: from £74,000 per year

Location: Remote-first (with bi-monthly in-person collaboration days in London)