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Setel in Kuala Lumpur is seeking a Data Engineer Intern to help scale our data infrastructure in the cloud. You will work with Python (or equivalent) and SQL to build, test and maintain data pipelines and ELT jobs, supporting analytics and ML use cases.
The role focuses on performance tuning, observability, and data quality, with a hybrid work arrangement and a collaboration-driven culture. The internship is 4+ months starting Oct/Nov 2026 and suits students in Computer Science, Data Science, or
The Future of Mobility
Introduced in July 2018, Setel is a mobile platform that aims to delight customers by innovating for better, inclusive mobility. Setel serves customers across Malaysia by powering one app as the constant companion to ease motorists’ journey across fueling, parking, EV charging, motor insurance, road tax, auto assistance, general purchases, and more across an ecosystem of PETRONAS petrol stations, retail partners, and online merchants.
The Data Engineer Intern will assist the Data Engineering team in providing the technical expertise to scale our data infrastructure using the right tools and frameworks, enabling access to high-quality data for Setel and our stakeholders. The responsibilities include performance tuning and monitoring of our data warehouse, developing best-in-class extract, load & transform (ELT) job architecture, and building batch or streaming data pipelines for analytics and ML use cases. This role will require someone with keen interest in developing and implementing data engineering solutions in a cloud environment, experienced with data warehouse technologies and data processing frameworks as well as proficient in Python (or equivalent) and SQL.
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