DE Intern

Job title: DE Intern

About the Role

We are looking for a motivated Data Engineering Intern to join our Data Platform team. In this role, you will help build automated data products end to end - from data ingestion and processing pipelines to calculation modules and internal platform features. You will work closely with engineers and business stakeholders across the group, turning business logic into reliable, production-grade data solutions.

Key Responsibilities

• Assist in integrating data from multiple business and transactional sources into the data platform.
• Develop and maintain data extraction, cleansing and aggregation pipelines.
• Implement business calculation logic on existing frameworks and maintain rule configurations.
• Perform data validation and reconciliation; trace, document and explain the root cause of discrepancies.
• Support the development and testing of internal platform features.
• Leverage the team's AI tooling to improve development and validation efficiency, and document reusable practices for the team.
• Write and maintain technical documentation covering pipelines, configurations and validation procedures.
• Collaborate with engineers and business teams to clarify requirements and verify output correctness.
• Participate in code reviews and follow team development standards.
• Support ad-hoc data requests and investigations from business teams.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering or a related field.
• Proficiency in Python, with the ability to independently implement data processing and business logic.
• Strong SQL skills, comfortable writing multi-table joins and aggregation queries.
• Meticulous and detail-oriented, with the patience to trace data discrepancies to their source.
• Basic understanding of data modelling and ETL concepts.
• Working understanding of AI tools, with the ability to apply them effectively in development, data work and documentation, and willingness to share learnings with the team.
• Proficiency in English and Mandarin is required to communicate with Mandarin-speaking business stakeholders and clarify data requirements for relevant markets.
• Available to work full-time for a continuous 4-6 months.
• Exposure to Databricks, Spark or similar data platforms is a plus.
• Front-end development experience is an advantage.
• Prior internship or project experience with data products or business systems is preferred.
• Self-motivated, eager to learn, and able to work collaboratively in a team environment.