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Junior Data Engineer – Data Pipeline Development & Management

SpringCube

Full time - Associate/Junior Executive

Logistics & Transportation

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position above to find your next career move.

Junior Data Engineer – Data Pipeline Development & Management

Company Overview
A leading online platform revolutionizing food and grocery delivery across Asia, this organization combines cutting-edge technology, data-driven decision-making, and innovative business solutions to redefine food convenience. Operating in 11 markets and serving over 400 cities, the company connects consumers with partners through a vibrant network of technology-driven solutions and services.

Job Description
The Junior Data Engineer will support the Regional Data team in developing, maintaining, and optimizing data pipelines to enable smarter, data-driven business decisions. This role involves working with large-scale data ingestion pipelines, curating high-quality data assets, and creating tools to enhance data utilization across the organization. A strong understanding of data engineering principles and collaboration with cross-functional teams is essential to success in this role.

Key Responsibilities

  • Design, build, and maintain data pipelines to support data-driven decision-making.
  • Integrate first-party and third-party data sources into the organization’s large-scale data warehouse.
  • Curate and manage high-quality data assets for use by data scientists and analysts.
  • Develop tools to improve data accessibility and utilization for stakeholders.
  • Collaborate with cross-functional teams to deliver quality data solutions.

Qualifications

  • Education: Bachelor’s degree in Computer Science or equivalent education/practical experience.
  • Experience: 1–2 years of experience in software engineering, particularly in writing clean and structured SQL and Python code.
  • Skills:
    • Proficiency in SQL and Python for data manipulation and pipeline development.
    • Strong grasp of software fundamentals, including data structures and test-driven development.
    • Familiarity with big data or data warehouse technologies (preferred).
    • Experience with tools such as Airflow, Terraform, GCP, or AWS (an advantage).
    • Strong communication skills and ability to understand business requirements from stakeholders.

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