Overview

Join the Geospatial Data Engineering & Platform team for a hands-on internship focused on real-world data engineering operations. You’ll support the management of the SLA Enterprise Data Platform, working on dataset onboarding, pipeline development, and performance monitoring tools. This role offers a practical look into how large-scale data platforms are maintained and optimized.

What You'll Get Out of This Internship

Experience designing and maintaining production-grade data pipelines
Exposure to enterprise data warehouses, validation processes, and ETL workflows
Strong technical growth in Python, SQL, and dashboard-building
Mentorship from experienced data engineers working on national-level data systems
Portfolio-ready projects involving ingestion, transformation, and reporting

Key Responsibilities

Build and refine ingestion pipelines that prepare datasets from multiple sources
Write clean, efficient code to support scalable transformation workflows
Create and update dashboards and reports used for daily data operations
Apply data quality checks and validation steps to ensure reliable datasets
Monitor pipeline performance and suggest improvements
Document data processes, workflows, and system behaviors
Assist in onboarding new datasets into the enterprise warehouse
Support audits and internal reviews through clear reporting outputs

Requirements

Studying Data Science, Computer Science, or a similar technical field
Comfortable using Python and SQL for data tasks
Able to write clear code and handle errors thoughtfully
Understands the basics of ETL concepts and data engineering practices
Communicates well and enjoys collaborating with a team
Able to commit to Aug–Dec 2025 or Jan–May 2026

Who This Internship Is Ideal For

Great for students who enjoy backend data work, love solving data problems, and want hands-on experience with enterprise-scale platforms.

About the Company

The Singapore Land Authority (SLA) oversees national land management and develops geospatial capabilities for Singapore. Through advanced data platforms and digital tools, SLA supports planning, governance, and public-sector innovation.

Internship Details

Location: Singapore

Duration: 5 months

Commitment: Full-time

Working Arrangement: Not specified by employer

Stipend: Not specified by employer

Application Deadline: Rolling basis

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Singapore Land Authority (SLA) jobs

Intern, Geospatial Data Engineering & Platform team

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