Data Engineer - Build Scalable ETL Pipelines in the Cloud

CHARLES & KEITH GROUP; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

CHARLES & KEITH GROUP is seeking a data engineer with 2-3 years of hands-on experience to design and maintain data pipelines for scalable data integration across cloud platforms.

The role emphasizes collaboration with analysts, data scientists, and business stakeholders, plus a strong focus on data governance and privacy as part of a coordinated data strategy in a fast-paced environment.

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, IT, or related field.
• 2-3+ years of data engineering experience with hands-on data warehouse expertise.
• Strong collaboration skills and ability to work with internal and external teams.
• Experience with ETL design and data integration across sources.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines for diverse data sources.
• Collaborate with analysts, data scientists, and stakeholders to translate data needs into solutions.
• Document data pipelines and data warehouse structures, ensuring governance and privacy standards.

Skills

Data pipeline design

ETL development

Cloud platforms experience

Data governance

Collaboration

Education

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

Job description

CHARLES & KEITH GROUP is seeking a data engineer with 2-3 years of hands-on experience to design and maintain data pipelines for scalable data integration across cloud platforms.

The role emphasizes collaboration with analysts, data scientists, and business stakeholders, plus a strong focus on data governance and privacy as part of a coordinated data strategy in a fast-paced environment.