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Data Engineer – Maritime Technology and Logistics

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 below to find your next career move.

Data Engineer – Maritime Technology and Logistics

Company Overview
This organization operates one of the world’s largest container transshipment hubs, handling millions of containers annually and connecting to over 600 ports globally. Leveraging cutting-edge data, automation, smart engineering, and energy management, it aims to revolutionize port efficiency while prioritizing environmental sustainability. The organization is also pioneering innovative cargo solutions, linking communities and managing the complexities of modern logistics.

Its commitment to talent development fosters a dynamic workplace with opportunities for growth and leadership. Employees are empowered to realize their potential through robust training programs and contribute meaningfully to the industry’s evolution.

Job Description
The Data Engineer will join the Insights, Digitalization & Analytics department to design and maintain scalable data solutions that enable advanced analytics, machine learning, and actionable business insights. This role involves building data pipelines, APIs, dashboards, and deploying ML projects while leveraging big data technologies and cloud platforms.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines, API endpoints, and data applications across cloud and on-premise environments.
  • Integrate internal and external data sources, including web scraping, while ensuring compliance.
  • Monitor, optimize, and maintain data quality and availability through scalable solutions.
  • Create and optimize interactive dashboards to visualize business metrics and improve user experiences.
  • Implement CI/CD pipelines to automate deployments and enhance scalability and performance for data and ML/AI solutions.
  • Collaborate with Data Scientists and software engineers to deploy and maintain ML/AI projects in production systems.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or related fields (specialization in Software Engineering is a plus).
  • 2–3 years of experience in data or software engineering, with expertise in data warehousing, big data platforms, cloud technologies, and automation tools.
  • Strong analytical, problem-solving, and data verification skills.
  • Effective communication skills and ability to collaborate across teams.
  • Self-motivated, adaptable, and eager to learn new technologies.

Technical Skills

  • Proficiency in relational databases (e.g., MS SQL Server), NoSQL, and ETL pipelines using Python or ETL tools (e.g., Microsoft SSIS, Informatica IPC).
  • Familiarity with Python tools for web applications and APIs (e.g., Flask, Requests) and web scraping (e.g., BeautifulSoup, Scrapy).
  • Expertise in Power BI, including DAX and Power Query, for creating dashboards.
  • Experience with Microsoft Azure services (e.g., Data Factory, Data Lake Storage, Azure SQL) and CI/CD pipelines using Azure DevOps.
  • Knowledge of Machine Learning tools (e.g., AutoML platforms like Azure AutoML) and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Familiarity with big data technologies (e.g., Hadoop, Hive, Spark) and Databricks is a plus.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.