Job Scope
We are looking for a proactive and fast-learning Data Engineering Intern to join our Regional Data & Analytics team, supporting Vietnam, Hong Kong, Taiwan, and Myanmar markets.
This is a great opportunity for students or fresh graduates who want hands-on experience with modern data engineering tools, cloud platforms, and real-world F&B/retail data pipelines. You will work directly with senior data engineers,
data analysts, and ML engineers to help build reliable, scalable data systems.
What You Will Do
- Support the development and maintenance of ETL/ELT pipelines (batch & streaming).
- Assist in building and monitoring workflows using Apache Airflow, Spark, and dbt.
- Work with Google Cloud Platform (GCS, BigQuery, Dataflow, GKE) to manage and process regional datasets.
- Help implement data validation, data modeling, and basic QA checks for BI and ML use cases.
- Collaborate with the analytics and ML teams to prepare clean, business-ready datasets.
- Support containerized deployments using Docker and Kubernetes.
- Participate in code reviews, documentation, and Agile/Scrum activities.
- Help maintain data governance practices, including IAM permissions and data catalog documentation.
What We're Looking For
- Final-year student or recent graduate in Computer Science, Information Systems, Data Engineering, or related field.
- Good SQL skills and knowledge of at least one programming language (Python preferred).
- Basic understanding of ETL/ELT concepts, data modeling, and cloud fundamentals.
- Familiarity with at least one of the following (school projects are acceptable):
Airflow, dbt, or another orchestration tool
Spark or similar distributed data processing tools
Any cloud platform (GCP, AWS, or Azure)
Docker or basic container concepts
- Good communication skills and ability to work in a fast-paced, regional Agile team.
- Eagerness to learn and the ability to absorb technical concepts quickly
Nice to Have
- Exposure to machine learning workflows or tools like MLflow, DVC, or Great Expectations.
- Experience with BI tools (Power BI, Looker, Data Studio).
- Basic Git knowledge and interest in CI/CD or Infrastructure as Code (Terraform).