Senior Data Engineer – Genomic Data

ADLIB; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A biotech start-up in the UK seeks a Senior Data Engineer to lead data architecture and pipeline design. The role emphasizes exposure to life sciences and genomic data, offering a flexible remote-first culture and competitive salary. Ideal candidates possess strong experience with Python, SQL, and data privacy principles. Monthly travel to the Bristol lab is required.

Benefits

Competitive salary

Wellbeing budget

Generous parental leave

Flexible hours

Qualifications

• 4+ years in a data engineering or similar role, building and maintaining data pipelines.
• Exposure to life sciences, genomics, or regulated medical environments.
• Experience working with data lakes, warehouses, and large-scale datasets.

Responsibilities

• Shape the architecture, strategy, and pipeline design for the data system.
• Design and implement scalable, secure data pipelines.
• Collaborate with engineers and scientists to bridge the data gap.

Skills

Data pipelines

Python

SQL

Data privacy and security principles

Genomic data formats

Communication skills

Education

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

Tools

GCP

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:
Coming in as the Senior 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. 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:

• 4+ years in a data engineering or similar role, building and maintaining data pipelines
• Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) or significant work within this sector/environment
• Exposure to genomic data formats and tools
• Exposure to GCP
• Strong experience with Python and SQL
• Experience working with data lakes, warehouses, and large-scale datasets
• Understanding of data privacy and security principles
• Comfortable working across both on-premise and cloud-based data systems
• Clear communicator, able to translate complex data concepts to cross-functional teams
• A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience

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).

A competitive salary 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.