Data Engineer
Singapore, Singapore, Singapore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingCollect, design, store and process payments data for the eCommerce business
Unify and standardize data into business digital assets
Build business evaluation metrics and data-driven tools for Products and Operations
Define underlying business data requirements
Build models to improve data quality and stability
From the employer’s posting
collecting, designing, storing and processing payments data in the eCommerce business
In charge of unifying and standardizing data to create holistic business digital assets
constructing business evaluation metrics, developing tactics in data services and creating data-driven tools in alignment with Products and Operations objectives
Define underlying business data requirements
Build fitted models to enhance data quality and stability
What you’ll bring
All qualificationsCore experience
- 5+ years as a data engineer
- Bachelor's or higher in Computer Science
- Proven track record in data warehousing
- Strong data modeling, development and governance skills
- Expert skills in SQL and Python
Preferred experience
- Experience building ETL pipelines
- Familiarity with big data tools such as Spark, Hadoop or Hive
- Background in Machine Learning
Qualification wording
5+ years of experience as a data engineer
with a bachelor or advanced in Computer Science
Proven track record in data warehousing
Demonstrated strength in data modeling, development and governance
Expert skills in SQL and Python
Preferred experience with building ETL pipelines
Familiarity with big data technologies and solutions (Spark, Hadoop, Hive, etc.)
Nice to have a background in Machine Learning
Tools in this posting
- Python
- SQL
- Hadoop
- Hive
- Spark
Source — Tool mentions in context
- Demonstrated strength in data modeling, development and governance. Preferred experience with building ETL pipelines. - Expert skills in SQL and Python. Familiarity with big data technologies and solutions (Spark, Hadoop, Hive, etc.). Nice to have a background in Machine Learning. - Proven success in communicating across different functions and synthesizing resources to push through projects in a dynamic environment.
Posting record
Report an errorOpen 4 monthsWe first saw this listing 142 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 142 days ago
- Recorded sightings
- 168
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Data Engineer - SHOPLINE Singapore
SHOPLINE is Asia’s largest smart commerce platform. With our customers in mind, we strive to deliver scalable commerce solutions to merchants of all sizes. We’re a full-featured platform with services including online store opening, O2O solution, retail POS systems, advertising placement, business strategy consultation, marketing, and more to empower merchants to succeed in omnichannel retailing and cross-border commerce.
What you’ll be doing:
Responsible for collecting, designing, storing and processing payments data in the eCommerce business. In charge of unifying and standardizing data to create holistic business digital assets.
Play a leading role in constructing business evaluation metrics, developing tactics in data services and creating data-driven tools in alignment with Products and Operations objectives.
Define underlying business data requirements. Build fitted models to enhance data quality and stability. Standardize and maintain data integrity to provide an efficient way in accessing data.
Who we are looking for:
5+ years of experience as a data engineer with a bachelor or advanced in Computer Science. Proven track record in data warehousing.
Demonstrated strength in data modeling, development and governance. Preferred experience with building ETL pipelines.
Expert skills in SQL and Python. Familiarity with big data technologies and solutions (Spark, Hadoop, Hive, etc.). Nice to have a background in Machine Learning.
Proven success in communicating across different functions and synthesizing resources to push through projects in a dynamic environment.
Preferred experience in tech firms, especially in the payments industry.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore, Singapore, Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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