Full-Stack Data Engineer – ML Ops & Data Platforms
Summary
Designs scalable data pipelines and AI/ML Ops solutions for financial services, ensuring governance and cross-border alignment with business goals.
the company in Singapore is seeking a Full Stack Data Engineer to design scalable data architectures and AI/ML Ops solutions. You will develop data pipelines, ensure governance, and collaborate with cross-border teams to align analytics with business objectives.
Role requires 5+ years in data engineering and full-stack work within financial services, plus strong Python/Java and cloud experience. Expect a hybrid but primarily on-site setup with robust CI/CD practices.