Data Engineer - Build Scalable Pipelines & Global Impact

CHARLES & KEITH (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

CHARLES & KEITH Group in Singapore is seeking a talented Data Engineer with 2–3 years of hands-on experience to design, build and maintain scalable ETL pipelines and data integrations across cloud platforms.

You will collaborate with analysts and data scientists, document data warehouse structures, and ensure governance and privacy standards are met while supporting business needs. This role offers the chance to impact a global fashion brand and work across diverse data sources.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT or related field.
• 2–3+ years in data engineering with hands-on experience in big data warehousing.
• Team player with ability to collaborate with internal and external teams.

Responsibilities

• Data Pipeline Development – design, build, and maintain scalable ETL pipelines across sources and platforms.
• Collaboration and Team Management – work with analysts, data scientists, and stakeholders to translate data needs into pipelines and storage solutions.
• Data Governance and Compliance – document pipelines and warehouse structures and ensure data security and privacy standards.

Skills

Data pipeline design

ETL development

Collaboration

Big data warehousing

Education

Bachelor's or Master's in Computer Science/Data Engineering/IT

Tools

Alicloud

AWS

Azure

GCP

Job description

CHARLES & KEITH Group in Singapore is seeking a talented Data Engineer with 2–3 years of hands-on experience to design, build and maintain scalable ETL pipelines and data integrations across cloud platforms.

You will collaborate with analysts and data scientists, document data warehouse structures, and ensure governance and privacy standards are met while supporting business needs. This role offers the chance to impact a global fashion brand and work across diverse data sources.