At a Glance
- Tasks: Own the data strategy and architecture for a life-saving diagnostic platform.
- Company: Next-gen diagnostics start-up tackling modern medicine's biggest challenges.
- Benefits: Up to £70,000 salary, wellbeing budget, flexible hours, and remote-first culture.
- 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 and supporting innovative projects.
- 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!
Data Engineer in Newport 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 passionate 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 in Newport
✨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 will give potential employers a taste of what you can do and how you can contribute to their mission.
✨Tip Number 3
Tailor your approach! When reaching out to companies, mention specific projects or values that resonate with you. This shows you’ve done your homework and are genuinely interested in their work, especially in a field as impactful as diagnostics.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with opportunities, so make sure your application stands out. Keep it concise, highlight your relevant experience, and let your passion for data and life sciences shine through!
We think you need these skills to ace Data Engineer in Newport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant projects that showcase your skills in AI and genomics. We want to see how you can contribute to our mission!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you've built or maintained data systems. This helps us understand your hands-on experience and how you can take ownership of our data strategy.
Be Clear and Concise:When writing your application, keep it clear and concise. Avoid jargon unless necessary, and make sure to explain complex concepts simply. We value clear communication, especially since you'll be collaborating with engineers and scientists.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we’re excited to see your application come through!
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in data engineering concepts, especially those relevant to the biotech and genomics fields. 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. Think about times when you had to bridge the gap between experimental data and actionable insights, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly and Confidently
Since you'll be collaborating with engineers and scientists, practice explaining complex data concepts in simple terms. This will demonstrate your ability to communicate effectively across cross-functional teams, which is crucial for this role.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s mission and data strategy. Inquire about their current data challenges or how they envision the role evolving as they scale. This shows you're not just interested in the job, but also in contributing to their success.
