Junior Project Coordinator

About the Opportunity

Position: Junior Data Engineer
Location: Singapore
Employment Type: Full-time

Responsibilities

• Data Pipeline Development
  • Assist in building, testing, and maintaining ETL/ELT pipelines.
  • Work with senior engineers to process structured and unstructured data from multiple sources.
  • Ensure data integrity and reliability throughout the data lifecycle.
• Data Infrastructure & Storage
  • Support the development and optimization of data warehouses, data lakes, and databases.
  • Perform data modelling tasks (schemas, tables, views) under guidance.
  • Maintain data documentation and metadata.
• Data Quality & Monitoring
  • Conduct data validation and quality checks to ensure accuracy and completeness.
  • Identify data issues, debug pipeline failures, and assist with troubleshooting.
  • Support monitoring of pipeline performance and system health.
• Collaboration & Support
  • Collaborate with data analysts, product teams, and business stakeholders to understand data needs.
  • Provide assistance in generating datasets for analytics and reporting.
  • Participate in code reviews and learn best practices in data engineering.
• Continuous Improvement
  • Contribute to automation, efficiency improvement, and optimization of data workflows.
  • Stay updated with modern data engineering tools, cloud platforms, and best practices.

About You

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 0–2 years of experience in data engineering, software development, or data-related roles.
• Familiarity with SQL and at least one programming language such as Python or Java.
• Basic understanding of ETL pipelines, data warehousing concepts, and database design.
• Exposure to cloud platforms (AWS, GCP, Azure) is a plus.
• Knowledge of tools such as Airflow, Spark, Kafka, or dbt is an advantage (not mandatory).
• Strong analytical thinking, attention to detail, and willingness to learn.

Benefits

• Learning-focused environment with mentorship from senior engineers.
• Opportunities to work on real-world data challenges and modern data stacks.
• Career growth into Data Engineer, Data Platform Engineer, or Analytics Engineering roles.
• Competitive salary, benefits, and a supportive team culture.