📍
Singapore

Data Engineer/Senior Engineer

No experience
Retail & Consumer
Data / Analytics
Posted:
December 29, 2025

Sea

Global consumer internet company
77.5
Palpable Score
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Job Description

As a data engineer, you are responsible for designing, developing, testing, and maintaining ETL (extract-transform-load) programs. We are using these programs every day to handle a large amount of data coming from our products worldwide. Your work will influence users of our products as well as internal staffs from other departments. You will work collaboratively with other colleagues to make decisions on technologies and product features.


Requirements

Sea is an Accredited Training Organization for the Singapore CA Qualification, a Recognized Employer Partner of CPA Australia, and an Authorised Training Employer of ICAEW.

About the company

Sea

Company overview
Sea is a consumer internet company headquartered in Singapore, operating across digital entertainment, e-commerce, and digital financial services. Sea’s businesses include Garena (games), Shopee (e-commerce), and Monee (digital financial services, formerly SeaMoney). Sea serves consumers and small businesses across Southeast Asia and Taiwan, and also operates in Brazil. Sea is publicly listed and runs region-wide products with large operational teams.

Locations and presence

Sea is headquartered in Singapore, with hiring hubs and offices across Southeast Asia, Taiwan, and Brazil (with roles also posted in other global cities). Most roles on Sea’s own careers site are tied to a specific city office rather than marketed as remote-first.

Palpable Score

77.5
/ 100
Sea offers multiple entry points for students and graduates, including a flagship management associate pathway, structured internships, and a government-linked training route that targets fresh graduates. Learning support is unusually visible for early-career hires through rotations, mentorship claims, and structured training. Pay looks stable for some pathways, but salary-range transparency and verifiable long-term outcomes are limited in public data, which keeps the score below top-tier.
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