Principal Data Engineer (Genomics)

Location: Hybrid role based in the United Kingdom, with office attendance expected at least twice per month. Offices are located in London, Cambridge and Leeds.

Salary: £103,500 per year

Company

hirify.global enables genomic medicine and research through national-scale genomic healthcare services, research platforms and complex healthcare software systems.

What you will do

• Provide principal-level technical leadership across data engineering strategy, roadmaps, standards and technology choices.
• Design and deliver secure, scalable and resilient data platforms, pipelines and data products across cloud and hybrid environments.
• Provide architectural guidance for lakehouse, distributed and event-driven systems.
• Promote interoperability, open standards, data modelling, metadata and provenance across clinical and research platforms.
• Embed privacy, security and regulatory requirements into systems handling sensitive genomic and health data.
• Mentor engineers, share knowledge and strengthen DataOps, DevOps, CI/CD, automation, infrastructure as code, observability and security practices.

Requirements

• Substantial principal-level data engineering experience and a track record of shaping technical direction across multiple teams.
• Experience designing and delivering enterprise-scale data platforms from initial design through production.
• Deep knowledge of modern data engineering, cloud infrastructure, scalable storage and processing, and hands-on programming.
• Strong knowledge of data modelling, metadata, provenance, governance and interoperability.
• Experience building secure and resilient systems for sensitive or highly governed data, preferably in healthcare, genomics, research or another regulated environment.
• Master’s degree or equivalent experience with a specialism in data or infrastructure.

Nice to have

• Experience with genomic, bioinformatics or clinical data platforms and VCF, BAM or FASTQ formats.
• Knowledge of GA4GH, OMOP or FHIR standards.
• Experience with Airflow, Prefect or AWS Glue.
• Experience with lakehouse, data mesh, batch, streaming, distributed or event-driven architectures.
• Additional programming experience with Scala, Java or Shell/Bash.

Culture & Benefits

• Blended working model with flexible team-designed working patterns.
• 30 days of annual leave plus bank holidays and additional long-service leave.
• Option to apply for up to 30 days of remote working abroad annually, subject to approval.
• Enhanced family leave, pension contributions with double matching up to 10%, life assurance and financial wellbeing schemes.
• Learning budgets, training and certification support, professional subscription reimbursement, wellbeing services and employee assistance.

Hiring process

• Successful candidates undergo a Standard Disclosure and Barring Service check.
• Reasonable adjustments are available for the interview and recruitment process.