Senior Data Engineer (Remote, Global)

Opus Recruitment Solutions United Kingdom
Remote
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AI Summary

Data Engineer role focused on building and scaling data pipelines and analysis engines for a deep-tech healthcare business. Responsibilities include data pipeline design, Python-based analysis engine development, and custom data validation rule creation. Requires strong Python, SQL, and data modeling skills, with a focus on complex problem-solving and ownership.

Key Highlights
Build technology that speeds up life-saving treatments.
Work on complex, high-impact systems turning fragmented clinical trial data into AI-ready insights.
Fully remote, globally distributed team with travel opportunities.
Key Responsibilities
Building and scaling the data pipelines and analysis engines
Data pipeline design and optimisation
Building a Python-based data analysis engine
Creating custom data validation rules (DSL)
Deep-diving into bugs and solving complex data issues
Improving performance and scalability across large datasets
Technical Skills Required
Python SQL Docker Kubernetes Argo Workflows GitHub Actions Java ANTLR4
Benefits & Perks
Up to £75,000 base salary
Stock options
Fully remote (globally distributed team)
25 days holiday
Flexible working
Travel to meet the team 3x per year in global locations
Nice to Have
Experience with clinical or regulated data environments

Job Description


Data Engineer –


Remote (Global)


Up to £75,000 + Stock Options, Work Remotely Globally, 25 days holiday, flexible working


Are you a Data Engineer who wants to build something that actually matters?


Not just another pipeline but technology that helps get life-saving treatments to patients faster?


We’re working with a seriously impressive deep-tech business operating at the intersection of AI, data, and healthcare. They’re tackling one of the biggest challenges in medical innovation: how to make clinical trials faster, more accurate, and easier to validate at scale.


This isn’t a standard Data Engineer role. You’ll be working on complex, high-impact systems that turn messy, fragmented clinical trial data into structured, traceable, and AI-ready insights.


🚀 What’s the role really about?


As a Data Engineer, you’ll be building and scaling the data pipelines and analysis engines that sit at the core of the platform. Think less “moving data from A to B” and more “making sense of incredibly complex datasets that drive regulatory decision-making.”


You’ll work across:

  • Data pipeline design and optimisation
  • Building a Python-based data analysis engine
  • Creating custom data validation rules (DSL)
  • Deep-diving into bugs and solving complex data issues
  • Improving performance and scalability across large datasets


This is a role for a Data Engineer who enjoys getting into the detail, understands how data behaves at scale, and likes solving problems others avoid.


🧰 Tech stack

  • Python (core)
  • SQL / data engineering best practices
  • Docker & Kubernetes
  • Argo Workflows
  • GitHub Actions
  • Some Java (ANTLR4) in parts of the stack


✅ What they’re looking for

  • Strong experience as a Data Engineer working with Python
  • Solid SQL and data modelling skills
  • Someone who genuinely enjoys working with data (not just moving it)
  • Experience troubleshooting and fixing complex issues
  • A mindset geared towards ownership, delivery, and continuous improvement


Bonus if you’ve touched clinical or regulated data environments but not essential.


They are interested in people with a strong academic background so if you bring this to the table they will be interested in speaking with you.


💰 What’s on offer

  • £45,000 – £75,000 base salary
  • Stock options
  • Fully remote (globally distributed team)
  • Travel to meet the team 3x per year in global locations
  • High-calibre colleagues and a genuinely mission-driven environment


🌍 Why this role?

You’ll be the kind of Data Engineer who wants their work to mean something. Every piece of infrastructure you build feeds into speeding up safe access to medical treatments.

Not many roles can offer that.


📩 Sound interesting?


If you’re a Data Engineer who wants more than just another job and you’re curious about working on complex, meaningful problems drop me a message for a confidential chat.


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