Data and DevOps Engineer

gwt· Operations - G&A
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About this role

We want to solve immune dysfunction.

 

Many cancers and other diseases are caused, or resist treatment, because T cells can't recognize or target cells correctly. We're progressing first-in-class antigen modulators through the clinic, developed to treat disease by controlling T cell activation. Our technology modulates antigen presentation, flicking a switch inside cells to alter their appearance to the immune system.

 

This approach marks a fundamental shift in how we treat people living with autoimmune disorders, cancers and infectious diseases.

 

Role Overview:

 

We are recruiting to join our IT team. This role will operate at the intersection of IT and business teams (including Bioinformatics), driving data management, engineering, software development and infrastructure best practices.

 

The role will play a fundamental part in shaping Greywolf’s data strategy, including the design, delivery, and maintenance of data infrastructure to support data integration, analytics, and governance across the organisation.

 

You will help Greywolf evolve, ready for the next phase of growth enabling the production of robust, reproducible and version-controlled bioinformatics workflows.

 

Core Responsibilities:



  • Design, build and maintain cloud architecture, infrastructure and services within AWS, following best practices for security, reliability and scalability.
  • Collaborate closely with bioinformaticians and computational biologists to translate scientific workflows into robust, automated CI/CD pipelines, utilising orchestration frameworks (e.g. Nextflow) where appropriate.
  • Implement containerisation (e.g. Docker) to improve reproducibility traceability of bioinformatics workflows.
  • Support infrastructure-as-code (e.g. CloudFormation) to ensure environments are versioned and auditable.
  • Architect  strategic and scalable data infrastructure, models and ingestion pipelines to support structured and unstructured scientific and business data.
  • Deploy and integrate analytics and reporting platforms such as Microsoft Fabric, Power BI and Spotfire.
  • Improve data provenance, lineage, and auditability to support scientific integrity and regulatory expectations.
  • Act as a technical bridge between engineering and science, ensuring solutions are fit for purpose and user-friendly.
  • Produce clear, precise and accurate technical documentation.
  • Manage and oversee third parties responsible for AWS monitoring, maintenance and delivery where external capacity or expertise is necessary.
  • Operate with a continuous improvement mindset to identified and remediate issues proactively.



Skills, Knowledge, Qualifications and Experience:

 

  • Proven experience as a DevOps Engineer, Platform Engineer, or similar role within a Biotechnology, Life Sciences or Pharma organisation.
  • Demonstrated expertise with AWS, CloudFormation and Docker.
  • Proficiency with hands-on administration of Linux-based systems.
  • Experience building and maintaining CI/CD pipelines.
  • Experience documenting master data schemas and with master data management
  • Experience designing and developing data pipelines and ETL procedures.
  • Ability to work collaboratively with stakeholders, particularly bioinformaticians and scientists.



If you are passionate about data and DevOps and want to work in a fast growing and exciting company, we invite you to apply and contribute to our mission of advancing ground-breaking discoveries.

 

What Sets You Apart:

 

  • Strategic experience in data governance, lineage and reproducibility in regulated or research-driven environments.
  • Exposure to Microsoft Fabric, Azure data services, or modern BI platforms.
  • Experience implementing AI services such as Amazon Bedrock.
  • DevOps information security experience and certifications.
  • Experience integrating systems using API’s.



(Some of..) our Perks and Benefits:



  • 2 holiday office shut-down periods during July and December, in addition to 25 days annual holiday.
  • Flexible, hybrid working (you should be able to attend our office in Milton Park, Oxfordshire 1-2 times per week and travel to partner sites, board and other meetings, as required).

Frequently Asked Questions

Is the salary disclosed for the Data and DevOps Engineer position at gwt?
The salary for this Data and DevOps Engineer role at gwt is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data and DevOps Engineer position at gwt located?
This Data and DevOps Engineer role at gwt is based in Abingdon, Oxfordshire, United Kingdom, Hybrid. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data and DevOps Engineer role at gwt full-time or part-time?
This is listed as a Employee position. It is posted as a Data and DevOps Engineer role in the Operations - G&A department at gwt.
Which team or department does the Data and DevOps Engineer at gwt belong to?
This Data and DevOps Engineer position is part of the Operations - G&A department at gwt. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data and DevOps Engineer position at gwt?
Click the "Apply Now" button on this page. You will be redirected to gwt's official application portal hosted on bamboohr where you can submit your application directly.
When was the Data and DevOps Engineer job at gwt posted?
This Data and DevOps Engineer position at gwt was posted on Apr 2, 2026. Apply as soon as possible — early applications are often reviewed first.
Data and DevOps Engineer
gwt
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