Lead Data Platform Production Engineer

Monetary Authority of Singapore (MAS)

Singapore

On-site

SGD 110,000 - 170,000

Full time

2 days ago
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Job summary

Monetary Authority of Singapore (MAS) is seeking a DAE Production Engineer to support the Data Analytics & Engineering division within the Data Technology and Architecture department. You will lead production engineering efforts, deliver critical projects, and establish operating models across MAS.

Ideal candidates will drive cloud, container, and security practices, collaborate with data science and product management teams, and translate technical concepts for senior management.

Qualifications

  • Bachelor's degree in a related field and 3–10 years delivering enterprise data platforms.
  • Experience with AI/data application development (Python) and networking concepts.
  • Familiarity with MSSQL and PostgreSQL databases.
  • Hands-on platform and data engineering skills with cloud services.
  • Experience with CI/CD pipelines, containerization, and security practices.

Responsibilities

  • Lead production engineering initiatives within a team of engineers.
  • Deliver complex production engineering projects for DAE.
  • Establish best practices, day-2 operating models, and standards.
  • Translate complex concepts into actionable insights for management.
  • Collaborate with DS and PM teams to host data science products on EDSPs.
  • Present proposals and business cases to senior leadership.

Skills

Technical leadership
Stakeholder management
Data-driven approach
Communication skills
Agile methodology
Strategic planning

Education

Bachelor’s degree in Computer Science, Information Systems or related field

Tools

Kubernetes
Docker
AWS
GCP
Terraform
Ansible
GitLab
Nginx
Linux

Job description

Monetary Authority of Singapore (MAS) is seeking a DAE Production Engineer to support the Data Analytics & Engineering division within the Data Technology and Architecture department. You will lead production engineering efforts, deliver critical projects, and establish operating models across MAS.

Ideal candidates will drive cloud, container, and security practices, collaborate with data science and product management teams, and translate technical concepts for senior management.

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