At a Glance
- Tasks: Own the data strategy and architecture for a life-saving biotech platform.
- Company: Next-gen diagnostics start-up focused on AI and genomics.
- Benefits: Up to £70,000 salary, wellbeing budget, flexible hours, and remote work.
- Other info: Join a purpose-driven team with excellent career growth opportunities.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology.
- Qualifications: Master’s or PhD in relevant fields and 4+ years in data engineering.
The predicted salary is between 70000 - 70000 € per year.
Next-gen diagnostics start-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!
Data Engineer in Bristol 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 employee autonomy and meaningful work, you'll collaborate with talented engineers and scientists while enjoying competitive benefits such as a wellbeing budget, generous parental leave, and the chance to make a significant impact in the life sciences sector.
Contact Detail:
ADLIB Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the biotech and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about data pipelines, cloud platforms, and any tools mentioned in the job description. Practice common interview questions and have examples ready to showcase your experience.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach by researching the company’s mission and values. When you apply through our website, mention how your skills align with their goals in your cover letter or during interviews to stand out from the crowd.
✨Tip Number 4
Follow up after your interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. It’s also a great opportunity to reiterate why you’re the perfect fit for their data engineering needs.
We think you need these skills to ace Data Engineer in Bristol
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 to the point. Avoid jargon unless it’s necessary, and make sure we can easily see how your background aligns with what we’re looking for. We appreciate straightforward communication!
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 love seeing applications come directly from interested candidates!
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. Think about times when you had to bridge the gap between experimental data and actionable insights, especially in a life sciences context.
✨Communicate Clearly
Since this role involves collaborating with engineers and scientists, practice explaining complex data concepts in simple terms. You want to demonstrate that you can effectively communicate across different teams and disciplines.
✨Be Ready for Technical Questions
Expect technical questions related to Python, SQL, and data management strategies. Brush up on your knowledge of data lakes, warehouses, and security principles, as these will likely come up during the interview.
