EconTech Data Engineer – AI‑Driven Economic Data Pipelines

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

Job summary

Monetary Authority of Singapore (MAS) is expanding EconTech within the Enterprise Knowledge Department to support the Economic Policy Group. You’ll build and run data foundations, pipelines, and data products to address macroeconomic policy questions, with governance and access controls across enterprise infrastructure.

The role emphasizes data strategy, stewardship, and AI enablement, including LLM-based extraction and safe AI-assisted workflows, collaborating with economists and platform teams.

Qualifications

• Bachelor’s degree or higher in a quantitative field; Economics/Statistics postgrad is a plus.
• 5–8 years in data engineering, data platforms or statistical systems supporting economists/researchers.
• Experience in central banking, economic policy, official statistics or financial-sector research is advantageous.

Responsibilities

• Own and manage data inventory, standards and sharing across EconTech.
• Design, operate and validate production-grade pipelines across diverse data sources.
• Develop reusable data products with clear schemas, lineage and access for AI workflows.

Skills

Python

R

SQL

Cloud ETL/ELT pipelines

Data modeling (time-series, panel)

LLM-based information extraction

Data governance

Git, CI/CD, monitoring

Education

Bachelor’s degree or higher in a quantitative discipline

Postgraduate qualifications in Economics or Statistics (advantage)

Tools

Git

CI/CD

Cloud platforms

Job description

Monetary Authority of Singapore (MAS) is expanding EconTech within the Enterprise Knowledge Department to support the Economic Policy Group. You’ll build and run data foundations, pipelines, and data products to address macroeconomic policy questions, with governance and access controls across enterprise infrastructure.

The role emphasizes data strategy, stewardship, and AI enablement, including LLM-based extraction and safe AI-assisted workflows, collaborating with economists and platform teams.