At a Glance
- Tasks: Own the data strategy and architecture for a life-saving diagnostic platform.
- Company: Join a next-gen diagnostics start-up tackling modern medicine's biggest challenges.
- Benefits: Remote-first culture, competitive salary, wellbeing budget, and flexible hours.
- Other info: Collaborate with engineers and scientists in a dynamic, purpose-driven environment.
- Why this job: Make a real impact in biotech by shaping data handling across the company.
- Qualifications: Master’s or PhD in relevant fields with 4+ years in data engineering.
The predicted salary is between 70000 - 70000 £ per year.
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.
We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software.
What you’ll be doing:
- Following a successful product launch and securing Series A funding, they’re scaling fast and now looking for their very first Data Engineer.
- You’ll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform.
- You’ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with.
- This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, you’ll be the go-to person.
- You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data.
- That might mean streaming data off DNA sequencers, integrating with LIMS systems, or improving how they trace results back to original experiments.
- This is a great opportunity for someone looking to step up into a role with real autonomy, and to shape how data is handled across the company.
What experience you’ll need to apply:
- A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience.
- 4+ years in a data engineering or similar role, building and maintaining data pipelines.
- Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure.
- Strong experience with Python and SQL.
- Experience working with data lakes, warehouses, and large-scale datasets.
- Understanding of data privacy and security principles.
- Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485).
- Comfortable working across both on-premise and cloud-based data systems.
- Clear communicator, able to translate complex data concepts to cross-functional teams.
Bonus points for experience with:
- DevOps tools like Docker, Kubernetes, CI/CD.
- Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams.
- Genomic data formats and tools.
- Cold and hot storage management, ZFS/RAID systems, or tape storage.
- AI/LLM tools to accelerate data workflows.
What you’ll get in return:
- You’ll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy to make a big impact.
- The role is mostly remote, with monthly trips to their Bristol lab (travel costs covered).
- Salary is up to £70,000 plus a wellbeing budget, generous maternal/parental leave, and flexible hours around a core schedule.
What’s next?
Apply with your updated CV, and we’ll review your application as soon as possible to set up a call and discuss the role further!
For any questions, feel free to ping Tegan an email!
Please note, this role is exclusive to ADLIB and any speculative CVs from other recruiters will be forwarded to us.
Data Engineer employer: ADLIB Recruitment | B Corp™
Join a pioneering biotech start-up that is at the forefront of next-generation diagnostics, where you will have the opportunity to shape data strategy and architecture in a flexible, remote-first environment. With a strong focus on meaningful work that saves lives, you'll enjoy autonomy in your role, generous benefits including a wellbeing budget and flexible hours, and the chance to collaborate with leading engineers and scientists in a high-impact lab setting in Bristol.
Contact Details:
ADLIB Recruitment | B Corp™ Recruitment Team
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 biotech and data engineering fields on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to AI, genomics, or any relevant tech. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Tailor your approach! When you find a role that excites you, customise your pitch to highlight how your experience aligns with their needs. Mention specific projects or technologies that relate to their work, especially in data pipelines and cloud platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with opportunities, so make sure you submit your application there. It’s the best way to ensure your CV gets seen by the right people!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant projects in genomics or AI to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission. Share specific examples of your work that demonstrate your expertise and enthusiasm for the field.
Showcase Your Communication Skills:Since you'll be collaborating with engineers and scientists, it's crucial to show us that you can communicate complex data concepts clearly. Use your application to demonstrate how you've successfully bridged gaps between technical and non-technical teams in the past.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, we can ensure your application gets the attention it deserves, and you can easily keep track of your application status!
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your experience with cloud platforms like AWS, GCP, and Azure, and be ready to discuss how you've built and maintained data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Whether it’s integrating genomic data or improving data lineage tracking, having concrete stories will demonstrate your ability to bridge the gap between science and software.
✨Communicate Clearly and Confidently
Since you'll be collaborating with engineers and scientists, practice explaining complex data concepts in simple terms. This will show that you can effectively communicate across cross-functional teams, which is crucial for this role.
✨Be Ready to Discuss Future Trends
Stay updated on the latest trends in AI, machine learning, and genomics. Being able to discuss how these technologies can impact data strategy and architecture will impress your interviewers and show your passion for the field.
