Data Engineer, EconTech: Policy Data Pipelines & AI

Monetary Authority of Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Monetary Authority of Singapore is seeking a data engineer to build and operate production-grade data pipelines for EconTech and the Economic Policy Group. You will design data foundations, ensure provenance, and enable AI-enabled workflows with strong governance.

The role emphasizes working with economists, handling revisions, vintages, and time-series data, and collaborating across platform, governance, and security teams in MAS.

Qualifications

• Bachelor’s degree in a quantitative discipline, or economics/stats equivalent.
• Around 5–8 years of data engineering and data platform experience supporting economists or researchers.
• Experience in central banking, economic policy, official statistics, or financial-sector research is advantageous.

Responsibilities

• Own data inventory, standards, and sharing for EconTech/EPG; coordinate with data owners and governance teams.
• Design and operate production-grade pipelines across statistical, licensed, API, database, file and web sources with validation and monitoring.
• Build reusable data products and real-time/high-frequency pipelines with clear schemas, lineage, and programmatic access.

Skills

Python

SQL

Data engineering

Communication

Education

Bachelor’s degree in a quantitative discipline

Tools

Cloud ETL/ELT

Git

CI/CD

LLM extraction

Job description

Monetary Authority of Singapore is seeking a data engineer to build and operate production-grade data pipelines for EconTech and the Economic Policy Group. You will design data foundations, ensure provenance, and enable AI-enabled workflows with strong governance.

The role emphasizes working with economists, handling revisions, vintages, and time-series data, and collaborating across platform, governance, and security teams in MAS.