Data Engineering and Analytics Intern

Singtel; Singapore; On-site; SGD 27,900 - 39,060; Full time

Benefits offered by this job

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

Job summary

Singtel is seeking a Data Engineering & Analytics Intern in Singapore to assist in cleaning, organizing, and preparing data for analysis. The intern will gain hands-on experience with real-world data projects, support the development of data pipelines, and write SQL queries. Candidates should have a background in Computer Science or a related field, along with a basic knowledge of Python and SQL. This role offers valuable exposure to data engineering workflows and practical skills for future roles.

Qualifications

• Basic knowledge of Python and SQL required.
• Comfortable working with large datasets.
• Understanding of data cleaning and validation concepts necessary.

Responsibilities

• Clean and organize data from different sources.
• Identify and fix data quality issues including duplicates.
• Support 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.

Skills

Python

SQL

Data cleaning

Data validation

Attention to detail

Education

Educational background in Computer Science, Data Science, Engineering, or a related field

Tools

ETL tools

Git/version control

Job description

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