Data Engineering & Automation Intern (ETL, AI + SQL)

Phillip Capital Inc.; Singapore; On-site; SGD 20,000 - 27,000; Part time

Job summary

Phillip Nova Pte Ltd is offering an intern position in Data Engineering and Automation to support Phillip Nova’s data infrastructure. The role centers on building, optimizing, and documenting ETL pipelines and automation projects using SQL and Python for financial services.

The intern will contribute to CI/CD deployment, data quality testing, and planning for LLM/datawarehouse initiatives while gaining hands-on experience in a buzzing fintech environment.

Qualifications

• Undergraduate student in a data-focused field seeking hands-on experience in data engineering and automation.
• Experience with data modelling and data architecture concepts is required.
• Proficiency in SQL and Python, plus API integration familiarity.
• Foundational understanding of Generative AI and LLMs is preferred.

Responsibilities

• Propose automation, AI or data engineering solutions based on business needs.
• Build, maintain, and improve ETL/ELT pipelines and data transformation jobs in a data warehouse.
• Implement and maintain CI/CD pipelines for data solution deployment and testing.
• Assist in planning LLM and data warehouse implementations.
• Ensure data quality and integrity with automated tests and validation rules.
• Help document the data warehouse and build a data catalogue.

Skills

Data modelling

Data architecture

SQL

Python

API integration

Generative AI

LLMs

CI/CD basics

SSMS/SSIS

Education

Undergraduate majoring in Data Science / Statistics / Computer Science / Quantitative Finance / Business Analytics / Economics / Mathematics

Tools

Microsoft SQL Server tools (SSMS, SSIS)

Job description

Phillip Nova Pte Ltd is offering an intern position in Data Engineering and Automation to support Phillip Nova’s data infrastructure. The role centers on building, optimizing, and documenting ETL pipelines and automation projects using SQL and Python for financial services.

The intern will contribute to CI/CD deployment, data quality testing, and planning for LLM/datawarehouse initiatives while gaining hands-on experience in a buzzing fintech environment.