Data Engineer Intern

Fullerton Health; Singapore; On-site; SGD 17,000 - 23,000; Part time

Job summary

Fullerton Health is seeking a Data Engineer Intern to join its Data & AI team in Singapore. You will own real deliverables—building data pipelines and datasets that feed AI models—while being mentored by senior engineers.

You’ll work on live systems, integrating data from multiple sources and applying modern data engineering practices within a leading APAC healthcare AI environment. You will gain hands-on experience with Azure data services, data quality checks, and analytics-focused data

Qualifications

• Pursuing a Bachelor's or Master's degree in a relevant field.
• Proficiency in Python and SQL through coursework or internships.
• Basic understanding of relational databases and data modeling.
• Familiarity with Git and software engineering practices.
• Strong analytical thinking and attention to detail.
• Good written and verbal English communication; ability to collaborate across Singapore, Vietnam, and the Philippines.

Responsibilities

• Build and maintain ETL/ELT pipelines under the guidance of senior engineers.
• Help integrate data from multiple sources (Claims, Member Data, Finance, APIs, Applications, CMS).
• Write and optimize SQL queries and assist data modeling for analytics and AI use cases.
• Work hands-on with Azure Data Services (Blob Storage, Data Lake, Azure SQL, Data Factory).
• Implement data quality checks, validation rules, and logging mechanisms.
• Prepare and clean structured and semi-structured datasets to support AI model development.
• Assist in building dashboards and reports for operations monitoring.
• Document pipelines, data flows, and technical decisions.

Skills

Python

SQL

Git

Analytical thinking

Attention to detail

Communication

Education

Bachelor’s or Master’s degree in Computer Science/Data Science/Information Systems/Engineering/Statistics

Tools

Azure Data Factory

Azure Data Lake

Azure SQL

Job description

About Us

Fullerton Health Group is a leading integrated healthcare provider across Asia-Pacific, operating an extensive network of clinics, medical centers, and healthcare services across multiple markets.

Fullerton Health Technology (FHT) serves as the Group’s technology and innovation arm, spearheading enterprise AI transformation, data platform modernization, and intelligent healthcare automation initiatives across the region.

Our mission is to re-architect healthcare operations through AI — spanning intelligent claims processing, document understanding, agentic workflow automation, and next-generation data platforms.

Role Overview

We are looking for a Data Engineer Intern to join our Data & AI team and help build the data pipelines and platforms that power AI-driven healthcare automation across Asia-Pacific.

This is not a shadowing role. You will own real deliverables on live systems — pipelines that move production healthcare data, datasets that feed our AI models, and monitoring that our operations teams rely on — with close mentorship from senior data engineers.

You will work alongside one of Southeast Asia’s leading AI teams, applying modern data engineering practices and LLM technologies to complex, real-world healthcare problems at scale.

What You Will Do

• Build and maintain ETL/ELT pipelines under the guidance of senior engineers
• Help integrate data from multiple sources (Claims, Member Data, Finance, APIs, Applications, CMS)
• Write and optimize SQL queries and assist with data modeling for analytics and AI use cases
• Work hands-on with Azure Data Services (Blob Storage, Data Lake, Azure SQL, Data Factory)
• Implement data quality checks, validation rules, and logging mechanisms
• Prepare and clean structured and semi-structured datasets to support AI model development
• Assist in building dashboards and reports for operations monitoring
• Document pipelines, data flows, and technical decisions

What You Will Learn

• How AI and LLM systems are actually built, deployed, and operated in an enterprise environment
• Cloud data architecture on Azure, orchestration tooling, and data observability practices
• Data governance, PDPA compliance, and cross-border data handling in a regulated industry
• Engineering discipline: version control, code review, testing, and structured AI-assisted development

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, or a related field
• Working knowledge of Python and SQL (coursework, personal projects, or prior internships all count)
• Basic understanding of relational databases and data modeling concepts
• Familiarity with Git and general software engineering practices
• Strong analytical thinking, attention to detail, and willingness to ask questions
• Good written and verbal communication in English; able to work with teammates across Singapore, Vietnam, and the Philippines

By submitting your application, you grant consent to Fullerton Health and affiliates to utilize your information to assess job suitability and be considered for other suitable positions.