At Harrison.ai, we’re redefining what’s possible in healthcare. Through our diagnostic AI solutions, we’re building tools that support clinicians to deliver earlier, more accurate diagnoses and raise the standard of care for millions of patients worldwide.
Our mission is bold but simple: to scale global healthcare capacity and create a fairer, healthier world. By using AI as a co-pilot for clinicians, we’re tackling one of healthcare’s biggest challenges, the shortage of human expertise, and giving every patient the chance to access timely, high-quality care, no matter where they live.
Because while we’re building cutting-edge AI, what we’re really building is hope—that everyone can access the healthcare they deserve.
And we’re just getting started.
About Your RoleOur Analytics Team plays a central role in driving data-informed decision-making and maximising the value of our evolving data ecosystem. We are seeking a skilled and motivated Senior Data Engineer to architect and scale data platforms and pipelines that support analytics, reporting and self-serve data access across the business.
We are a team that embraces AI-driven development practices — you will be expected to bring enthusiasm and aptitude for adopting AI-assisted engineering tools such as Claude Code and similar LLM-powered development workflows to accelerate delivery and progressively codify routine tasks. If you are passionate about building data systems that enable meaningful healthcare impact, we’d love to hear from you.
What You Do:Design and implement end-to-end data pipelines to collect, process and transform data from multiple sources.
Develop and maintain scalable data platforms to enable efficient data storage, retrieval and analysis.
Design, implement, and maintain analytics data models that support reporting, KPI tracking and self-serve analytics use cases.
Develop and maintain transformation pipelines using tools such as dbt to turn raw data into clean, tested and well-documented datasets.
Actively adopt and champion AI-assisted development tools and practices to accelerate engineering delivery and progressively automate routine data engineering and analytics tasks.
Develop and maintain self-serve analytics capabilities (e.g. curated datasets, semantic layers) that empower stakeholders to answer questions independently.
Collaborate with stakeholders to translate business and data requirements into robust technical designs.
Implement and maintain CI/CD pipelines to ensure consistent, testable and reliable data engineering and analytics deployments.
Implement data governance frameworks and ensure compliance with security, privacy, and regulatory standards.
Monitor data infrastructure performance, troubleshooting issues proactively to ensure reliability and scalability.
Proven experience designing, building, and maintaining data platforms and pipelines in cloud environments (AWS preferred).
Proven experience with cloud data warehouses (AWS Redshift preferred).
Strong programming skills in Python and SQL.
Experience deploying dbt or similar frameworks for analytics engineering and data transformation.
Experience implementing and utilising AI-assisted development tools (e.g. Claude Code, GitHub Copilot, Cursor or similar LLM-powered coding assistants).
Experience with Git and version control best practices.
Strong collaboration skills to work effectively with cross-functional teams.
Nice to have skills and characteristics:
Experience working in a regulated healthcare or medical device environment.
Demonstrated experience implementing Terraform or similar infrastructure-as-code tools.
Experience defining and maintaining organisation-wide metrics layers or semantic models.
Familiarity with GDPR and international data compliance.
🌍 Innovate for Global Good. Join us to pioneer world-first AI technology that transforms patient outcomes and helps build a healthier, fairer world.
🤝 Collaboration Across Continents. Work with brilliant minds from every corner of the globe in a culture built on trust, autonomy, and genuine teamwork.
🚀 Well-Funded & Global. Backed by world-class investors including Aware Super, Blackbird Ventures, Skip Capital, and Horizons Ventures, we’ve raised over US$240M to accelerate our global impact.
🌱 Scale Your Potential. Tap into yearly L&D budgets, mentoring, hackathons, and secondments—all supported by a transparent growth framework to grow your career.
💻Flex for Life. Work when and where you do your best—with WFH options, flexible hours, and the autonomy to make an impact your way.
🙌 Support for Every Family Journey. From fertility to parenthood, loss, and even grandparenthood—we provide inclusive, thoughtful policies to support families in every stage.
What's next?If you’re inspired by what we're up to, please apply now and we'll be in touch soon.
We are proud to be an Equal Opportunity Employer. Diversity’s not a buzzword here, it’s in our DNA. Diverse perspectives shape our culture and make our work better. We’re committed to building inclusive teams that represent a variety of backgrounds and skills. We look forward to hearing from you.
