Data Engineer (Genomics)

Location: Hybrid, London, United Kingdom; office locations also include Cambridge and Leeds. Most employees are expected to attend an office at least twice per month, with the exact pattern agreed with the team leader.

Salary from: £75,500 per year

Company

hirify.global enables genomic medicine and research through national genomic healthcare services, research data libraries and complex healthcare software systems.

What you will do

• Design, build and optimize scalable data pipelines and processing systems from acquisition and transformation through delivery.
• Work with large clinical, genomic, multi-omic and bespoke healthcare datasets, including data lineage, metadata capture, de-identification and reference-data integration.
• Build AWS-based data solutions using storage, compute and orchestration technologies.
• Develop data models, storage solutions and data products optimized for performance, scalability, security, cost and reliable delivery.
• Improve data quality, testing, automation and observability across pipelines and services.
• Collaborate with engineering, QA, architecture, product and specialist teams while supporting machine learning, data visualisation and data engineering practices.

Requirements

• Hands-on experience designing, building and optimizing data pipelines and large-scale processing systems, including ETL and ELT.
• Strong practical AWS and cloud-based data engineering experience, including storage, compute and orchestration technologies.
• Strong Python coding skills with experience in testing, CI/CD and infrastructure as code.
• Experience developing data models and reliable data products, with an understanding of data engineering patterns and practices.
• Understanding of data quality, data lineage, metadata management and data governance.
• Experience handling sensitive data in regulated environments, including security, performance, scalability and compliance considerations.
• Experience with genomic, bioinformatics, clinical or other complex healthcare datasets.
• Familiarity with data orchestration, visualisation, data management and secure data transfer tools.
• Ability to collaborate across technical and non-technical teams and communicate complex concepts clearly. A master’s degree or equivalent practical experience in data engineering, data science, biostatistics, informatics or a related field is preferred.

Nice to have

• Knowledge of healthcare data models, standards and terminology such as FHIR, HL7, OMOP or SNOMED CT.
• Familiarity with NHS and wider healthcare data ecosystems.
• Understanding of healthcare data linkage, pseudonymisation, information governance and clinical or research data quality challenges.
• Experience with Trusted Research Environments or other secure, privacy-preserving data platforms.
• Experience enabling the secondary use of health data for research, analytics or scientific use cases.
• Experience supporting machine learning or data visualisation through reliable data pipelines and products.

Culture & Benefits

• Blended working model with flexible working patterns and no general expectation of full-time office attendance.
• 30 days’ holiday plus bank holidays, long-service leave and the option to request up to 30 days of remote working abroad annually, subject to approval.
• Family-friendly policies, enhanced parental leave, a defined-contribution pension with employer double matching up to 10%, life assurance and financial schemes.
• Learning budgets, training and certification support, and reimbursement for one annual professional subscription, subject to approval.
• Health and wellbeing support including subsidised gym membership, Headspace, an Employee Assistance Programme, eye tests and flu jabs.
• Successful candidates must complete a Standard DBS check; some unspent convictions may prevent progression. Visa sponsorship is not available.

Hiring process

• Applications close on Sunday 15 November at 23:00 UK time.
• Successful candidates complete a Standard DBS check and must disclose previous offences at the point of application.
• Reasonable adjustments to the interview process can be requested.