Senior Data Engineer

ADLIB; West of England; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A biotech start-up, focused on innovative diagnostic devices, is seeking a Data Engineer to lead data pipeline architecture and strategy. This remote-friendly role offers the chance to work closely with scientists, ensuring data integrity and accessibility for advanced analytics. With a competitive salary and benefits, it’s an excellent opportunity to make a significant impact in life sciences.

Benefits

Wellbeing budget

Generous parental leave

Flexible working hours

Qualifications

• 4+ years in a data engineering or similar role
• Experience with AWS, GCP, and Azure
• Working with data lakes, warehouses, and large-scale datasets

Responsibilities

• Design and implement scalable, secure data pipelines
• Collaborate with engineers and scientists on data tasks
• Bridge data gaps from experiments to actionable outcomes

Skills

Python

SQL

Data privacy and security

Clear communication

Education

Master’s or PhD in Computer Science, Data Science, Bioinformatics

Tools

DevOps tools (Docker, Kubernetes, CI/CD)

Big data tools (Spark, Hadoop)

Genomic data formats and tools

Job description

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.