Data Engineer

Charles & Keith Group; 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 build and maintain robust data pipelines across cloud platforms. The ideal candidate will design scalable ETL processes, collaborate with data analysts and scientists, and ensure data quality, governance, and security across the data warehouse ecosystem.

Proficiency with cloud services (Alicloud, AWS, Azure, or GCP) and strong problem-solving and communication skills are required for

Qualifications

• Bachelor’s or Master’s degree in CS/Data Eng or related field
• 2–3+ years in data engineering with hands-on experience in big data warehouses
• Strong collaboration skills to work with analysts, scientists and stakeholders

Responsibilities

• Design, develop, and maintain scalable ETL pipelines to integrate data from multiple sources
• Collaborate with analysts and stakeholders to translate requirements into data solutions; ensure governance and security

Skills

Data engineering

Cloud platforms

ETL design

Team player

Education

Bachelor's or Master’s in Computer Science/Data Eng

Tools

ETL tooling

Big data warehouses

Job description

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Full Time

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:

• 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