Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the data strategy and architecture for innovative diagnostics solutions.
- Company: Join a pioneering biotech start-up focused on revolutionising healthcare.
- Benefits: Enjoy flexible, remote-first work with occasional lab visits and cutting-edge projects.
- Why this job: Be part of a mission to save lives using AI and genomics in healthcare.
- Qualifications: Experience in data engineering and a passion for biotech is essential.
- Other info: Work in a dynamic environment tackling significant medical challenges.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
- Next-gen diagnostics start-up
- Take ownership of data strategy and architecture from the ground up.
- Flexible, remote-first working with visits to a high-impact biotech lab.
- Cutting-edge work combining AI, genomics, and diagnostics to save lives.
Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic…
ZIPC1_UKTJ
Senior Data Engineer employer: ADLIB Recruitment
Contact Detail:
ADLIB Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI, genomics, and diagnostics. Being well-versed in these areas will not only help you understand the company's mission but also allow you to speak confidently about how your skills can contribute to their goals.
✨Tip Number 2
Network with professionals in the biotech and data engineering fields. Attend relevant webinars or industry events to connect with people who might have insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss your previous experiences in data strategy and architecture. Be ready to share specific examples of how you've successfully implemented data solutions in past roles, especially in fast-paced environments.
✨Tip Number 4
Show your enthusiasm for remote work and flexibility. Highlight any previous experience you have working in remote teams and how you effectively manage your time and communication in such settings.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities, required skills, and how your experience aligns with their needs.
Highlight Relevant Experience: In your CV and cover letter, focus on your previous experience in data strategy and architecture. Provide specific examples of projects where you have successfully implemented data solutions, especially in AI or genomics.
Showcase Your Skills: Make sure to highlight technical skills relevant to the role, such as proficiency in programming languages (like Python or SQL), data modelling, and familiarity with cloud platforms. Tailor your application to reflect these skills.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the biotech field and how you can contribute to their mission of tackling modern medicine's challenges.
How to prepare for a job interview at ADLIB Recruitment
✨Understand the Company’s Mission
Before your interview, make sure you know what the biotech start-up is all about. Familiarise yourself with their mission to tackle modern medicine's challenges, especially in diagnostics. This will help you align your answers with their goals and show genuine interest.
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your expertise in data strategy and architecture. Be prepared to discuss specific projects where you've successfully implemented data solutions, particularly those involving AI and genomics. Highlight your problem-solving skills and how they can benefit the company.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to handle real-world challenges. Think of examples from your past experience where you had to make critical decisions regarding data management or architecture. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions. Inquire about the company's future projects, their approach to integrating AI with diagnostics, or how they envision the role of a Senior Data Engineer evolving. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
