Position overviewPosted 1 week ago

Data Engineer Intern

Sertis →
InternshipCurrently studying for a Bachelor's Degree in Computer Science or any related fields

Bangkok, Bangkok Metropolis, Thailand

Compensation
THB 15,000 - THB 25,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: October 17, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

Sertis, an ASEAN data and AI engineering company based in Bangkok, is hiring a Data Engineer Intern to support real-world data pipeline projects. The intern will work with experienced data engineers to collect, transform, and organize data from multiple sources, implement ETL processes, and monitor infrastructure performance. The role offers hands-on exposure to data engineering for AI/ML use cases, containerization technologies, and collaboration with an international team.

Candidates should be pursuing a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python. Basic familiarity with Docker, containerization, and big data tools such as Spark, Hadoop, or Hive is expected, along with an interest in public cloud technologies and the ability to learn new technologies quickly.

Responsibilities

Manipulate data from different sources

Select and integrate Big Data tools and frameworks required to provide requested capabilities

Implement ETL process

Monitor performance and advise on necessary infrastructure changes

Work within a team supporting software and data system development, training, integration, and test infrastructure

Requirements

Currently studying for a Bachelor's Degree in Computer Science or any related fields

Knowledge of SQL database maintenance and Python

Basic knowledge of containerization technologies and Docker

Basic knowledge of big data technologies such as Spark, Hadoop, or Hive

Good communication skills; ability to work independently or in a team environment

Nice to have

Interest in public cloud technologies; ability to quickly learn new technologies; interest in data engineering for AI/ML use cases

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