Data Engineering Intern: Build End-to-End Data Pipelines

Hytech; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

Hytech is seeking a motivated Data Engineering Intern to join our Data Platform team in Singapore. You will help build automated data products end to end—from ingestion and processing pipelines to calculation modules and internal platform features—collaborating with engineers and business stakeholders to deliver production-grade data solutions.

Responsibilities include integrating data from multiple sources, developing ETL pipelines, implementing business logic, validating data, and supporting

Qualifications

• Pursuing a Bachelor's or Master's in Computer Science, Data Science, Statistics, Engineering or related field.
• Proficient in Python, able to independently implement data processing and business logic.
• Strong SQL skills with multi-table joins and aggregations.
• Meticulous, detail-oriented, able to trace data discrepancies to source.
• Basic understanding of data modelling and ETL concepts.
• Working understanding of AI tools and ability to apply them in development and data work.
• Proficient in English and Mandarin to communicate with Mandarin-speaking stakeholders.
• 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 and able to work collaboratively in a team.

Responsibilities

• Assist in integrating data from multiple 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 and explain discrepancies.
• Support the development and testing of internal platform features.
• Leverage AI tooling to improve development and validation efficiency, and document reusable practices.
• 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.

Skills

Python

SQL

Data validation

Teamwork

Documentation

English & Mandarin

Problem solving

Education

Bachelors/Masters in CS

Tools

Databricks

Spark

Job description

Hytech is seeking a motivated Data Engineering Intern to join our Data Platform team in Singapore. You will help build automated data products end to end—from ingestion and processing pipelines to calculation modules and internal platform features—collaborating with engineers and business stakeholders to deliver production-grade data solutions.

Responsibilities include integrating data from multiple sources, developing ETL pipelines, implementing business logic, validating data, and supporting