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- Tasks: Lead data strategy and architecture for a life-saving biotech platform.
- Company: Join a cutting-edge diagnostics start-up revolutionising modern medicine with AI and genomics.
- Benefits: Enjoy flexible remote work, a wellbeing budget, and generous parental leave.
- Why this job: Make a real impact in healthcare while working with innovative technology and a passionate team.
- Qualifications: Master’s or PhD in relevant fields with 4+ years of data engineering experience required.
- Other info: Role involves collaboration with scientists and engineers, bridging experiments and actionable data.
The predicted salary is between 42000 - 98000 £ per year.
Job Description
- 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:
- 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/weekly trips to their Bristol lab, depending on location. 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.
Senior Data Engineer employer: ADLIB
Contact Detail:
ADLIB 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 data engineering, especially in the context of AI and genomics. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the biotech and data engineering sectors. Attend relevant meetups or webinars where you can connect with industry experts and potentially get insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your experience with cloud platforms and data pipeline design. Be ready to discuss specific projects where you've successfully implemented scalable solutions, as this will highlight your hands-on expertise.
✨Tip Number 4
Brush up on your communication skills, particularly how to explain complex data concepts to non-technical teams. This is crucial for the role, so practice articulating your thoughts clearly and concisely.
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 cloud platforms you’ve worked with. If you have experience with big data tools or DevOps practices, make sure to include those as well.
Showcase Communication Skills: Since the role involves collaboration with engineers and scientists, provide examples of how you've effectively communicated complex data concepts to non-technical teams in your previous roles.
How to prepare for a job interview at ADLIB
✨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
Research the biotech start-up's goals and how they are using AI and genomics to tackle medical challenges. Showing that you understand their mission and how your role as a Data Engineer fits into it can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle data integration challenges or improve data lineage tracking, and be ready to explain your thought process clearly.
✨Communicate Clearly and Collaboratively
Since the role involves working closely with engineers and scientists, practice explaining complex data concepts in simple terms. Highlight your communication skills and ability to bridge gaps between technical and non-technical teams during the interview.
