Data Engineer

We do not disclose the pay range publicly; your actual pay will be based on your skills and experience. Talk with our recruiter to learn more.

We are a leading gastrointestinal health company delivering minimally invasive diagnostics to transform access to esophageal care. Our EndoSign test combines a simple, swallowable device with cutting‑edge laboratory biomarkers and analytics to detect esophageal cancer and its precursor, Barrett’s esophagus. Operating across the US and UK life‑science hub, with hybrid, remote and onsite teams, we are expanding our pipeline to address new high‑impact targets across gastroenterology and related fields. You’ll join a close‑knit team of experts who collaborate daily to translate breakthrough ideas into real‑world solutions. We champion diverse backgrounds and perspectives, fostering an inclusive culture where everyone can thrive and innovate.

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• Initial Conversation – an online meeting with our People team or hiring manager to learn about your skills & experiences.
  
• Team Interview & Assessment – meet the wider team, sometimes accompanied by an assessment such as a short presentation.
  
• Final Interview – an online meeting with our CEO.
  

The role is a full‑time position (37.5 h/week) based at Cyted’s Head Office, Ground Floor Building 3 Old Swiss, 149 Cherry Hinton Road, Cambridge, United Kingdom, CB1 7BX. Some flexible working may be required.

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• Design, build, maintain, and optimise scalable data pipelines using workflow engines such as Nextflow.
  
• Translate scientific prototypes into production‑ready, reproducible, automated workflows.
  
• Create modular, testable components with clear versioning.
  
• Design and maintain data models, storage solutions, metadata catalogues, and governance practices.
  
• Implement observability, monitoring, alerting, and automated recovery for high reliability.
  
• Embed security‑by‑design, ensuring encryption, authentication, secrets management, and compliance with ISO, CAP, GDPR, etc.
  
• Partner with computational biologists, product engineers, and cross‑functional teams.
  
• Guide and mentor team members on data engineering best practices.
  
• Identify and remove bottlenecks, optimise cost and scalability across AWS, GCP, and Azure.
  
• Identify and adopt new technologies, DevOps & MLOps practices.
  

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• Degree in Computer Science, Bioinformatics, Computational Biology, or equivalent.
  
• 2–3 years in a regulated data environment (biotech, healthtech, diagnostics).
  
• Experience designing and maintaining data pipelines on AWS, GCP, or Azure.
  
• Strong proficiency in Python, Linux/Bash fundamentals.
  
• Experience with at least one workflow engine (Nextflow, Snakemake).
  
• Version control (Git/GitHub) and CI/CD practices.
  
• Knowledge of regulated frameworks (CLIA, CAP, IVD, ISO27001, ISO13485) and audit readiness.
  
• Understanding of NGS data, QC practices.
  
• Experience with data cataloging, governance, lineage tracking.
  
• Infrastructure‑as‑Code (Terraform), IAM, cloud cost optimisation.
  
• Exposure to R and common genomics pipelines.
  
• Strong focus on testing, monitoring, observability.
  
• Clear communication and collaborative approach.
  

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• 25 days holiday + public holidays
  
• Pension scheme
  
• Annual learning and development budget
  
• Medical insurance (includes dental & optical)
  
• Life/critical illness cover
  
• Social events (Christmas & Summer parties)
  
• Cycle to work scheme
  
• Electric Vehicle Scheme
  
• Sabbatical after 4 years of service
  

Mid‑Senior level

Full‑time

Hospital and Health Care

Location: Cambridge, United Kingdom. Apply now to join Cyted Health.