Data Engineer

HeliosX
City of London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.


About the role:

The Data Engineer will be essential in the continuous development and operation of the data platform, focusing on building reliable data pipelines and ensuring data quality for both internal teams and external customer‑facing products. You will execute on the data strategy and take responsibility for the implementation and maintenance of data solutions.


What you'll be doing:

  • Develop and Maintain Data Pipelines: Build and maintain core data processing workflows using dbt for transformations. This includes developing scalable SQL logic, creating reusable data models, and implementing incremental processing strategies following software engineering best practices (version control, testing, modular design).
  • Manage Cloud Data Platform (Snowflake): Configure and manage the Snowflake cloud data warehouse, focusing on optimizing query performance, controlling costs, and configuring compute resources. Ensure the platform scales effectively by implementing proper data clustering and partitioning strategies.
  • Ensure Data Quality and Testing: Implement comprehensive dbt testing frameworks (schema, data, and custom tests) and set up automated data quality monitoring, alerting, and issue resolution processes.
  • Establish Data Governance: Establish and enforce data governance policies, manage data access controls, and ensure security and privacy compliance.
  • Drive Cross‑Functional Data Strategy: Collaborate with Engineering teams to design robust event schemas and instrumentation for consistent data collection at the source.

What you'll bring:

  • 2+ years of specific, proven experience delivering end‑to‑end data solutions using modern data stack tools.
  • 2+ years of expert SQL experience, with a focus on real‑time or near‑real‑time data processing.
  • 1+ years of hands‑on dbt experience building models, including those designed to feed customer‑facing features and operational analytics.
  • Proven experience building data pipelines that feed directly into application databases or APIs, and a clear understanding of low‑latency data requirements.
  • Experience building data products that surface in customer‑facing UIs (e.g., dashboards, personalization). You understand API design and how analytics data integrates with the application layer.
  • Experience leading technical initiatives or mentoring junior team members.

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!


Benefits

  • 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)

#LI-Associate


#LI-Hybrid


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.