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- Tasks: Design and build backend systems for cutting-edge biological AI models.
- Company: Join a pioneering biology AI lab focused on brain health and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in healthcare by working with advanced AI and data systems.
- Qualifications: Experience in backend engineering, cloud infrastructure, and data management.
The predicted salary is between 75000 - 85000 £ per year.
We are a frontier biology AI lab working at the intersection of AI, experimental biology, and clinical research. We generate our own data in-house, build general-purpose biological foundation models, and translate discoveries into real research and clinical impact through studies we run ourselves. Our focus is understanding the brain, protecting it from neurological disease, and ultimately enhancing it in health.
You will work on systems that support large-scale biological datasets, experiment and model lineage tracking, and reproducible research workflows, while ensuring strong performance, reliability, and observability in production.
Key areas include:
- Designing and building APIs for datasets, experiments, and workflows
- Owning data models, schemas, and system boundaries
- Building tenant-aware access control and permissions
- Optimising performance and data integrity in PostgreSQL systems
- Deploying and operating services in AWS or GCP
- Working with Kubernetes, Docker, and Terraform
- Building monitoring, logging, and debugging infrastructure
- Occasionally contributing to React or Next.js frontends
This is a role for engineers who enjoy working across backend systems, cloud infrastructure, and real product surfaces, especially in complex, data-heavy environments.
Data Engineer in City of London employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend systems and cloud infrastructure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with backend systems, cloud infrastructure, and any relevant projects that showcase your skills in handling large-scale datasets.
Showcase Your Skills: In your application, don’t just list your skills—show us how you've used them! Include specific examples of your work with APIs, PostgreSQL, or cloud services like AWS or GCP to demonstrate your expertise.
Be Clear and Concise: When writing your cover letter, keep it clear and concise. We want to see your passion for the role and your understanding of our mission, but we also appreciate brevity. Get to the point while still being engaging!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like PostgreSQL, AWS, GCP, Kubernetes, Docker, and Terraform. Brush up on your knowledge of APIs and data models, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in backend engineering or cloud infrastructure. Think of examples where you optimised performance or ensured data integrity. This will demonstrate your ability to tackle real-world problems, which is crucial for this role.
✨Understand the Company’s Mission
Familiarise yourself with the lab's focus on brain health and neurological diseases. Be ready to explain how your skills can contribute to their mission. Showing genuine interest in their work can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, or the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.