Full Stack Data Engineer: AI/ML Ops Innovator

Nomura

Singapore

On-site

SGD 120,000 - 160,000

Full time

8 days ago

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Job summary

Nomura in Singapore seeks a Full Stack Data Engineer to develop scalable, secure data platforms and AI/ML ops aligned with business objectives.

The role requires 5+ years in data engineering / MLOps within financial services, strong cloud, CI/CD, and microservices experience, plus React UI capabilities. You will partner with global teams to deliver reliable data solutions and governance.

Qualifications

  • Masters in quantitative fields (Computer Science, Statistics or similar).
  • Minimum of 5 years’ experience in data engineering/MLOps, full stack engineering in the financial sector.
  • Experience in data management: data quality, metadata, lineage, governance.
  • Deployment: CI/CD, Jenkins, Ansible, DevOps processes.
  • Programming in Python/Java/Unix scripting; orchestration with Airflow or Autosys.
  • Cloud technologies: EC2, EMR, Snowflake; hybrid data architecture.
  • Proficiency in React; UI development is a plus.
  • Experience building scalable microservices and data models.
  • Strong stakeholder management and communication.

Responsibilities

  • Design scalable, secure data architectures, pipelines and solutions aligned with enterprise standards.
  • Drive AI/ML solution operationalization with data quality, governance and metadata best practices.
  • Lead data management to ensure data quality, lineage, and platform reliability.
  • Shape Nomura's information & analytics agenda with cross‑business roadmaps.
  • Operate with a control mindset within risk and governance frameworks.

Skills

5+ years data eng/MLOps
Full stack eng
Python
Java
Unix scripting
React UI
CI/CD
Jenkins
Airflow
Autosys
Data governance

Education

Masters in Computer Science/Statistics

Tools

Jenkins
Airflow
Autosys
Snowflake
EC2
EMR

Job description

Nomura in Singapore seeks a Full Stack Data Engineer to develop scalable, secure data platforms and AI/ML ops aligned with business objectives.

The role requires 5+ years in data engineering / MLOps within financial services, strong cloud, CI/CD, and microservices experience, plus React UI capabilities. You will partner with global teams to deliver reliable data solutions and governance.

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