Job Description
About Hytech
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.
With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.
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.
What You'll Gain
- Hands-on experience building production data products end to end, from ingestion through to delivery.
- Exposure to group-level data platform architecture and configuration-driven development practices.
- Practical experience applying AI tooling in a real engineering context (accounts and support provided by the team).
- Opportunity to work closely with experienced data engineers and business stakeholders.
- Practical experience in data validation, reconciliation and production-scale quality assurance.
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