Senior Data Platform Engineer β€” Cloud, APIs & Biotech AI

Senior Data Platform Engineer β€” Cloud, APIs & Biotech AI

Full-Time 60000 - 80000 € / year (est.) No home office possible
Hlx Life Sciences

At a Glance

  • Tasks: Design and implement APIs, optimise data integrity, and deploy services on cloud platforms.
  • Company: Hlx Life Sciences, a leader in biotech AI research.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team passionate about frontier biology and complex datasets.
  • Why this job: Make a real impact in neurological health research with cutting-edge technology.
  • Qualifications: Experience in backend development and cloud systems, strong problem-solving skills.

The predicted salary is between 60000 - 80000 € per year.

Hlx Life Sciences in Greater London is seeking a Senior Software Engineer to help build backend and cloud systems for their frontier biology AI lab. You will design and implement APIs, optimize PostgreSQL data integrity, and deploy services on AWS or GCP. This role suits engineers passionate about working in complex environments that leverage large-scale datasets and require strong performance and reliability. Join us to make an impact in neurological health research.

Senior Data Platform Engineer β€” Cloud, APIs & Biotech AI employer: Hlx Life Sciences

Hlx Life Sciences is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide opportunities for professional development and the chance to work on groundbreaking projects in biotech AI, making a meaningful impact in neurological health research. Our commitment to a supportive environment ensures that every team member can thrive while contributing to transformative advancements in science and technology.

Hlx Life Sciences

Contact Detail:

Hlx Life Sciences Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Platform Engineer β€” Cloud, APIs & Biotech AI

✨Tip Number 1

Network like a pro! Reach out to folks in the biotech and cloud engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving APIs and cloud services. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for technical interviews by brushing up on your PostgreSQL and cloud deployment knowledge. Practice coding challenges and system design questions to impress the interviewers.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior Data Platform Engineer β€” Cloud, APIs & Biotech AI

API Design and Implementation
PostgreSQL Data Integrity
AWS
GCP
Cloud Systems Development
Backend Development
Large-Scale Data Management

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your experience with backend systems, cloud services, and APIs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about biotech AI and how your background makes you a perfect fit for our team. Keep it engaging and personal.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex challenges in previous roles. We love engineers who can think outside the box and come up with innovative solutions!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

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, especially PostgreSQL, AWS, and GCP. Brush up on your knowledge of APIs and how they function within cloud environments, as this will likely come up during technical discussions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles, particularly those involving large-scale datasets or complex systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.

✨Understand the Company’s Mission

Familiarise yourself with Hlx Life Sciences and their focus on neurological health research. Be ready to articulate how your skills and experiences align with their goals, and express your enthusiasm for contributing to impactful projects in the biotech AI space.

✨Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or future challenges they anticipate in building their data platform. This not only demonstrates your engagement but also helps you assess if the company is the right fit for you.