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- Tasks: Lead data strategy and architecture for a life-saving diagnostic platform.
- Company: Join a cutting-edge biotech start-up revolutionising diagnostics with AI and genomics.
- Benefits: Enjoy flexible remote work, travel to a high-impact lab, and a generous wellbeing budget.
- Why this job: Make a real impact in modern medicine while enjoying autonomy and collaboration.
- Qualifications: Master’s or PhD in relevant fields with 4+ years in data engineering.
- Other info: Monthly lab visits in Bristol; salary up to £70,000 with flexible hours.
The predicted salary is between 42000 - 84000 £ per year.
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ADLIB Recruitment | B Corp provided pay range
This range is provided by ADLIB Recruitment | B Corp. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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Direct message the job poster from ADLIB Recruitment | B Corp
Lead Senior Data Recruiter at ADLIB – B Corp Certified – Ambassador at MotherBoard
- 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) or significant work within this sector/environment
- 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:
- 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.
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Seniority level
Mid-Senior level
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Employment type
Full-time
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Analyst and Information Technology
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Industries
Health and Human Services and Technology, Information and Media
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Senior Data Engineer employer: ADLIB Recruitment | B Corp™
Contact Detail:
ADLIB Recruitment | B Corp™ 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 and genomics. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge about the field, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the biotech and data engineering sectors. Attend relevant meetups or webinars to connect with people who work in similar roles. This can provide you with insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your experience with cloud platforms and data pipelines. Be ready to discuss specific projects where you've implemented scalable solutions, as this will highlight your hands-on expertise and problem-solving skills.
✨Tip Number 4
Brush up on your communication skills. Since the role involves collaborating with engineers and scientists, being able to clearly explain complex data concepts will be crucial. Practice articulating your thoughts in a way that is accessible to non-technical team members.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with cloud platforms and data pipelines. Emphasise any work you've done in life sciences or genomics, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the biotech field and your understanding of how data can impact diagnostics. Mention specific projects or experiences that align with the company's mission and the job requirements.
Highlight Technical Skills: Clearly list your technical skills, especially in Python, SQL, and any experience with big data tools or DevOps practices. Use examples to demonstrate how you've applied these skills in previous roles.
Showcase Communication Abilities: Since the role involves collaboration with engineers and scientists, include examples of how you've effectively communicated complex data concepts to non-technical teams. This will show your ability to bridge gaps between different functions.
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipelines, cloud platforms, and programming languages like Python and SQL. Bring examples of past projects where you successfully built or maintained data systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarise yourself with the biotech start-up's goals and how they are using AI and genomics to tackle medical challenges. Showing that you understand their mission will help you connect your skills to their needs and demonstrate your genuine interest in the role.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with engineers and scientists, think of examples where you've successfully collaborated with diverse teams. Be ready to explain how you can bridge the gap between complex data concepts and actionable insights for non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, the technologies they use, and their future plans. This not only shows your enthusiasm but also helps you gauge if the company culture and objectives align with your career aspirations.
