At a Glance
- 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, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on groundbreaking research.
- 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.
The role is roughly:
- 70% backend engineering
- 25% cloud and infrastructure
- 5% frontend
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 employer: LinkedIn
As a pioneering AI lab at the forefront of biology and clinical research, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is reflected in our supportive culture, where you will have the opportunity to work on impactful projects that enhance brain health while utilising cutting-edge technologies. Located in a vibrant area, we provide competitive salaries and a dynamic atmosphere that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend engineering and cloud systems. We love seeing real-world applications of your work, so make sure to highlight any relevant experience you have.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. We recommend practicing common data engineering problems and understanding how to optimise performance in PostgreSQL systems. The more prepared you are, the more confident you'll feel!
✨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’re always looking for passionate individuals who want to make an impact in the field of AI and biology.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for Data Engineering:When writing your application, let us see your enthusiasm for data engineering! Share specific projects or experiences that highlight your skills in backend systems and cloud infrastructure. We love to see candidates who are genuinely excited about the work we do.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight relevant experience with APIs, PostgreSQL, and cloud services like AWS or GCP. This shows us that you understand what we're looking for and how you can contribute to our mission.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and what we do.
How to prepare for a job interview at LinkedIn
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like PostgreSQL, AWS, GCP, Kubernetes, Docker, and Terraform. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in backend engineering or cloud infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you approached complex data problems.
✨Understand the Company’s Mission
Research the company’s focus on brain health and neurological diseases. Be prepared to discuss how your skills can contribute to their mission and why you’re passionate about working at the intersection of AI and biology.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or how they measure success in their engineering teams. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
