Data Engineering Intern: Cloud Pipelines & Analytics

SATS Ltd.; Singapore; On-site; SGD 13,000 - 25,000; Full time

Job summary

SatS Ltd. Singapore is seeking enthusiastic data engineering interns to join our team.

You will gain hands-on experience building and optimising data pipelines, working with cloud technologies, and delivering real-world data solutions that drive business insights. Ideal candidates have a passion for data, are proficient in SQL and Python, and can collaborate with cross-functional teams to understand data requirements and deliver solutions.

Qualifications

• Proficiency in SQL and Python.
• Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function).
• 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.

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.

Skills

SQL

Python

Azure

ETL pipelines

Data analytics

Tools

Azure Data Factory

Azure SQL

Azure Cosmos DB

Databricks

Job description

SatS Ltd. Singapore is seeking enthusiastic data engineering interns to join our team.

You will gain hands-on experience building and optimising data pipelines, working with cloud technologies, and delivering real-world data solutions that drive business insights. Ideal candidates have a passion for data, are proficient in SQL and Python, and can collaborate with cross-functional teams to understand data requirements and deliver solutions.