Senior Analytics Engineer (AI)

Location: London HQ, onsite

Company

hirify.global is a fast-growing healthcare scale-up building AI-powered products that support patient outcomes at scale.

What you will do

• Architect, model, and optimize core data models supporting analytics and AI applications.
• Build feature pipelines, evaluation datasets, and well-documented data layers for AI and LLM use cases.
• Translate requirements from marketing, finance, operations, and product stakeholders into reliable technical solutions.
• Own data governance for assigned models, including data integrity, consistency, security, documentation, and best practices.
• Improve the performance, reliability, and usability of the modern data stack.
• Drive adoption of rigorous modeling frameworks and analytical standards across the business.

Requirements

• Onsite work at the London HQ is required.
• 3+ years of experience in analytics engineering, data engineering, or a related role.
• Advanced SQL skills, including designing, optimizing, and debugging complex queries.
• Hands-on experience with dbt or Dataform and building scalable, well-structured data models.
• Working understanding of how AI and LLM-powered products consume data, including feature engineering, evaluation pipelines, and data quality standards.
• Experience with data governance, quality assurance, documentation, measurement, statistics, and cross-functional collaboration.

Nice to have

• Direct experience with BigQuery and Looker.
• Experience supporting AI/ML workflows through feature stores, training data curation, or model-consumption outputs.

Culture & Benefits

• High-impact work supporting healthcare products and patient outcomes.
• Ownership of data models, governance practices, and end-to-end improvements.
• Collaboration with technical and non-technical stakeholders across the business.
• Fast-paced environment within a high-growth healthcare scale-up.