Data Engineering & Analytics Intern — Build Real Pipelines

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

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.