INTERNSHIP DETAILS

Data Engineer Intern

CompanySouth China Morning Post
LocationNot specified
Work ModeOn Site
PostedApril 17, 2026
Internship Information
Core Responsibilities
The intern will assist in the full data pipeline development lifecycle, including migrating datasets, verifying data integrity, and deploying ETL pipelines. They will also participate in code reviews and collaborate with the engineering and product squad to deliver key datasets.
Internship Type
intern
Company Size
1221
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The South China Morning Post is a leading news media company that has reported on China and Asia for more than a century with global impact. Founded in 1903, SCMP is headquartered in Hong Kong, where it is the city’s newspaper of record, with a growing correspondent staff across Asia and the United States. Our vision is to “Elevate Thought”, and our mission is to “Lead the global conversation about China”. The South China Morning Post is a global digital news leader with a unique role in championing the plurality of voices in Asia through its breadth and depth of news coverage. SCMP is committed to informing and inspiring through journalism of the highest standards. Apart from its flagship newspaper, SCMP also publishes news 24/7 on SCMP.com. In 2020, SCMP became the first news organisation in Asia to join the Trust Project, a consortium of top news companies developing global transparency standards for credible journalism. Additionally, SCMP publishes a portfolio of premium lifestyle and fashion titles in Hong Kong including Cosmopolitan, ELLE, Esquire and, Harper’s BAZAAR. SCMP is also home to Abacus, a digital news brand focused on China's tech industry; Inkstone, a daily news brief for those curious about China's growing impact around the world; and Goldthread, a content platform with a focus on food, travel and culture in China. For more information, please visit us at www.scmp.com. Our Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at http://corp.scmp.com/privacy-policy
About the Role

About the Team:

The Product & Technology department is composed of Product Managers, Engineers and Designers. Ownership, meritocracy and collaboration are at our core. We are not afraid to think differently, embrace new ideas and dream big. We empower ownership and share responsibility. We support each other to achieve and grow. Our goal is simple - to create products that delight our customers and readers.
 

Purpose of the position:

We are seeking a skilled Data Engineer to contribute to our business strategy projects. In this role, you will report to the lead engineer and collaborate closely with our engineering and product squad within the organisation. This role supports pipeline development on an agile team, delivering key datasets that empower the product and the go to market team to grow our traffic and our subscribers base.
 

In this role, you will:

  • Assist in the full data pipeline development lifecycle, including helping to migrate datasets cross clouds, verify data integrity, deploy and schedule in UAT and production.
  • Support the building and deployment of ETL pipelines in Airflow and data models in dbt.
  • Participate in code reviews to learn best practices, ensure code quality, and engage in knowledge sharing among team members.
  • Stay curious and up-to-date with technologies, trends, and best practices in applying AI to boost data engineering productivity and efficiency
  • Assist across the applications lifecycle, gaining exposure to development, testing, documentation, and ongoing support.


Skills and Experience that will lead to success:

  • Currently pursuing or recently graduated with a Degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence or a related discipline.
  • Academic projects, coursework, or previous internship experience related to software development or data engineering.
  • Good command of Python and SQL to create scripts, debug data issues, and run automations
  • Familiarity with or keen interest in learning data modeling and pipeline design (ETL, ELT, data warehousing).
  • Experience with Airflow and dbt is a plus
  • Knowledge of Kubernetes, Docker, CI/CD pipelines, microservice architecture, and Cloud concepts is an advantage.
  • Ability to problem solve through collaboration and a willingness to ask the right questions.
  • Good team player with a strong proactive willingness to learn.
 

Work location will be at Causeway Bay office.

Our Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at ​corp.scmp.com/privacy-policy.

Key Skills
PythonSQLData EngineeringETLELTData ModelingAirflowDbtKubernetesDockerCI/CDMicroservicesCloud ComputingData IntegrityPipeline Development
Categories
Data & AnalyticsTechnologySoftwareEngineering