Data Engineer

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

Job Overview:

We are looking for a talented and motivated Data Engineer with 2–3 years of experience to join our team. The ideal candidate will have hands-on experience in building and maintaining data pipelines, working with cloud platforms (Alicloud, AWS, Microsoft Azure, or Google Cloud Platform), and ensuring efficient data integration, storage, and accessibility.

Job Responsibilities:

1. Data Pipeline Development

• Design, develop, and maintain scalable and reliable ETL (Extract, Transform, Load) pipelines to integrate structured and unstructured data from various sources
• Automate data workflows and ensure efficient data movement across platforms

2. Collaboration and Team Management

• Work closely with data analysts, data scientists, and business stakeholders to understand data needs and provide tailored data solutions
• Translate business requirements into technical specifications for data pipelines, storage, and processing solutions

3. Data Governance and Compliance

• Maintain clear and comprehensive documentation for data pipelines, data warehouse structures, and data governance practices
• Ensure compliance with data governance policies and standards for data security and privacy, working closely with security and governance teams

Requirements:

• Bachelor’s degree or Master’s in Computer Science, Data Engineering, Information Technology, or a related field
• 2-3+ years in data engineering, with strong hands-on experience in big data warehouse
• Team player with strong collaboration skills, able to work effectively with both internal and external teams