INTERNSHIP DETAILS

Data Engineering and Analytics Intern

CompanySingtel Group
LocationSingapore
Work ModeOn Site
PostedMay 12, 2026
Internship Information
Core Responsibilities
The intern will clean and organize data from various sources while identifying and fixing quality issues. They will also support the development of data pipelines, write SQL queries, and automate repetitive data tasks.
Internship Type
full time
Company Size
8334
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Singtel Group is Asia's leading communications technology group, providing a portfolio of services from next-generation communication, digital services and digital infrastructure including regional data centre arm Nxera and regional IT services arm NCS. The Group has presence in Asia, Australia and Africa and reaches over 820 million mobile customers in 20 countries. Singtel is dedicated to continuous innovation, harnessing next-generation technologies to create new and exciting customer experiences as we shape a more sustainable, digital future.
About the Role

Be a part of something BIG!

 

We are looking for a Data Engineering & Analytics Intern to help clean, organize, and prepare data for analysis. This internship is suitable for someone who enjoys working with data and wants hands-on experience building data pipelines and supporting analytics projects.

 

Responsibilities:

  • Clean and organize data from different sources
  • Identify and fix data quality issues such as duplicates or missing values
  • Support the development of data pipelines and workflows
  • Write SQL queries for data extraction and transformation
  • Assist with automating repetitive data tasks
  • Prepare datasets for analysis and reporting
  • Document data processes and workflows

 

Requirements

  • Educational background in Computer Science, Data Science, Engineering, or a related field
  • Basic knowledge of Python and SQL
  • Comfortable working with large datasets
  • Understanding of data cleaning and validation concepts
  • Good attention to detail and data accuracy

 

Preferred Skills

  • Familiarity with ETL tools or data workflows
  • Basic knowledge of Git/version control
  • Interest in automation and data engineering

 

What You’ll Gain

  • Hands-on experience with real-world data projects
  • Exposure to data engineering workflows and tools
  • Opportunity to work with large datasets
  • Practical skills relevant to future data engineering and analytics roles

 

Key Skills
PythonSQLData CleaningData PipelinesETL ToolsGitVersion ControlData ValidationAutomationData ExtractionData Transformation
Categories
Data & AnalyticsTechnologyEngineeringSoftware