Full-Stack Data Engineer – ML Ops & Data Platforms

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• Masters in quantitative fields (Computer Science, Statistics or similar).
• Minimum of 5 years’ experience in data engineering / MLOps, full stack engineering in financial sector.
• Experience in data management principles including data quality, metadata management, data lineage, master data management, and data governance.
• Deployment experience with CI/CD, Jenkins, Ansible, DevOps processes.
• Programming in Python, Java, Unix scripting; orchestration tools like Airflow or Autosys.
• Experience with cloud technologies such as EC2, EMR, Snowflake or similar; hybrid data architecture.
• Proficiency in React; UI development a plus.
• Building physical data models and ETL processes for data quality and accessibility.
• Experience in microservices development and scalable APIs.
• Ability to work with cross-cultural, virtual teams.

Responsibilities

• Design scalable, secure data architectures and pipelines aligned with business needs.
• Operationalize AI/ML solutions with data governance, metadata, and lineage.
• Drive AI/ML Ops initiatives and ensure platform reliability.
• Shape information and analytics strategies across the company and partner with businesses.
• Maintain risk awareness and control mindset in delivery.

Skills

Python

Java

Unix scripting

Airflow

Autosys

CI/CD

Jenkins

Ansible

DevOps

Cloud

Education

Masters in Computer Science or Statistics

Tools

React

Job description

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.