Intern, Data Engineering

Job Description:

About Us

Headquartered in Singapore, SATS Ltd. (SGX stock code: S58) is one of the world's largest providers of air cargo handling services and Asia's leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines and institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 225 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg

Why Join Us

At SATS, people are our greatest asset and we build our success on the knowledge, expertise and performance of every contributor, by embracing diversity and uniqueness. As part of our holistic approach and commitment to embracing FAM (Fulfilling, Appreciated, Meaningful) in the workplace, we offer the runway to develop Fulfilling careers that foster your career growth, recognising and Appreciating the strength of talent and capabilities that we continue to build internally; and inspiring and encouraging each other to make Meaningful contributions in the work we do at SATS.

Key Responsibilities

Data Engineer:

We are seeking enthusiastic and driven interns with a passion for data engineering and analytics to join our team. This internship offers hands-on experience in building and optimising data pipelines, working with cloud technologies, and contributing to real-world data solutions that drive business insights.

Key Responsibilities:

• Assist in designing, developing, and maintaining ETL pipelines.
• Support data integration from various sources into cloud-based data platforms.
• Work with SQL and Python to clean, transform, and analyse data.
• Participate in data platform and data management framework design and implementation.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Utilise Azure tools and services to deploy and monitor data workflows.
• Implement data management, processing, and analytics tools on Databricks.
• Document processes and contribute to knowledge-sharing within the team.
  
  

Key Requirements

Skills, qualifications, experience:

• Proficiency in SQL and Python.
• Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Azure Cosmos DB, Azure Blob Storage).
• Understanding of database systems, ETL processes, and cloud web services.
• Strong analytical and problem-solving skills.
• Ability to work independently and in a team environment.