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Senior Data Engineer

Build scalable data pipelines to support real-time healthcare analytics and ML models
London
Senior
2 days ago
HeliosX

HeliosX

A healthtech firm specializing in accessible healthcare services and products, including online pharmacy and diagnostics platforms.

Senior Data Engineer

Ready to revolutionize healthcare, making it faster and more accessible than ever before?

How We Started:

Back in 2013, our founder Dwayne D'Souza saw an opportunity to give people faster and more convenient access to medications using technology. We've grown rapidly since our inception, without any external funding whatsoever – achieving profitability through innovation and a highly disciplined approach to growth.

Where We Are Now:

We've earned the trust of millions of people worldwide through our top-selling products and well-known brands: MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A lot of our success is down to having our own pharmacies, manufacturers and products – spearheaded by leading in-house medical teams, researchers and pharmacists. Between 2023 and 2024 our global revenue tripled; £60m to £180m (300% year-on-year growth). We're looking to do the same in 2025; move into new territories, and further accelerate our growth journey. There's never been a more exciting time to join HeliosX.

Where We're Going:

Over the next five years, you'll support our goal to become a world-leading healthcare partner, deepening our customer relationships, expanding into new countries, and diversifying our product portfolio to treat more conditions. You'll be part of helping more people access prescription treatments and, most importantly, making personalised care better, quicker and easier for everyone.

Come be a part of making our dream of easier and faster healthcare a reality!

About the Role: The Senior Data Engineer will be instrumental in scaling our data capabilities as the company grows. You will focus on building robust data infrastructure that supports data quality, accelerates product engineering initiatives, and enables the development of new data products for external customers. This role requires you to take ownership, drive technical strategy, and mentor junior/mid level Data Engineers.

What You'll Be Doing:

  • Design and Build Enterprise-Scale Pipelines: Lead the design and implementation of complex, end-to-end batch and streaming data pipelines, including advanced transformation logic and multi-source data integration.
  • Implement MLOps and Feature Stores: Build infrastructure for end-to-end ML pipelines, including feature engineering, model deployment, monitoring, and designing feature stores for both batch and real-time ML workflows.
  • Establish DataOps Practices: Set up CI/CD, automated testing, deployment, and monitoring frameworks for data pipelines, managing infrastructure as code, and ensuring comprehensive pipeline observability.
  • Technical Leadership: Influence engineering architecture across multiple product squads, establish data engineering practices, and mentor junior/mid-level data engineers within the organization.
  • Ensure Data Governance and Quality: Establish data governance frameworks, build automated data quality systems, and maintain reliability and compliance across distributed systems.
  • Optimize Performance and Resources: Continuously optimize compute and storage resources and deliver improvements in pipeline performance and cost efficiency.

Who You Are:

  • 5+ years of specific experience with modern data stack tools, with a proven track record of delivering end-to-end data solutions.
  • Expert proficiency in key technologies: Snowflake, SQL, Python, dbt and familiarity with MLflow.
  • Demonstrated understanding of end-to-end data product architecture.
  • Ability to deliver working solutions from a greenfield level.
  • Data Platform Skills: Experience architecting data platforms handling high event volumes (100M+ events/day), with expertise in designing for high availability and fault tolerance.
  • Product Team Integration: 3+ years of experience embedded within product engineering teams as a data platform expert, designing architecture that scales with rapid product development.
  • Mindset: Proactively learning and adopting new tools, including AI adoption.

Why Work With Us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions!

Aside from working with our all-star team, here are the other benefits of coming on board:

  • Generous equity allocations with significant upside potential
  • 25 Days Holiday (+ all the usual Bank Holidays)
  • Private health insurance, along with extra dental and eye care cover
  • Pension scheme
  • Enhanced parental leave
  • Cycle-to-work Scheme
  • Electric Car Scheme
  • Free Dermatica and MedExpress products every month, as well as family discounts
  • Home office allowance
  • Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription)
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Senior Data Engineer
London
Engineering
About HeliosX
A healthtech firm specializing in accessible healthcare services and products, including online pharmacy and diagnostics platforms.