high performance. Engineering Standards: Define and maintain data engineering standards, ensuring consistency, quality, and reusability. Make architectural decisions and empower teams to execute effectively. DataOps Enablement: Promote DataOps principles to streamline workflows, establish CI/CD pipelines, and improve operational efficiency and reliability of data pipelines. Data Governance and Quality More ❯
A fantastic opportunity has become available for a Research DataOps Engineer to join Caristo Diagnostics rapidly growing team, based at our Oxford headquarters. About Caristo Diagnostics Caristo Diagnostics is a global leader in AI-powered heart disease detection. A spinout from the University of Oxford, Caristo's award-winning technology … the British Heart Foundation as a game-changing innovation for preventing cardiovascular disease. About The Role This is an exciting opportunity for a Research DataOps Engineer with a passion for research delivery, to join an Oxford University spin-out and to implement a Data Lake House from the ground up. More ❯
practices and foster a high-performance culture. Engineering Standards: Define and maintain standards, patterns, and frameworks for data engineering. Ensure quality, consistency, and reusability. DataOps Enablement: Drive adoption of DataOps principles. Establish CI/CD pipelines and observability standards to enhance operational efficiency. Data Governance and Quality: Embed governance, security More ❯
