Data Engineering Intern - Mentorship & Hands-on Data Skills

Sun Life Financial; Waterford; Hybrid; EUR 15,000 - 21,000; Full time

Benefits offered by this job

On-site internship

Job summary

Sun Life Financial in Waterford, Ireland offers a Data Engineering Intern position crafted for current students seeking hands-on experience with data pipelines and analytics under experienced mentors. You will work on SQL, ETL/ELT processes, BI tools, and cloud concepts, contributing to data quality and documentation, while embracing Agile practices in an on-site internship.

This role provides learning opportunities across data profiling, AI-assisted development tools, and collaboration with a

Qualifications

• Currently enrolled in or recent graduate of a BS/BA program in Computer Science, Data Science, Engineering, or related field.
• Foundational knowledge of database concepts and SQL.
• Interest in data engineering and analytical solutions.
• Willingness to learn with AI-powered tools and platforms.

Responsibilities

• Assist in design, development, and testing of data solutions under guidance.
• Support ETL/ELT development and data pipeline maintenance.
• Utilize AI-assisted tools for code development and documentation.
• Help create and maintain technical documentation.
• Participate in data analysis, validation, and quality assurance activities.
• Learn Agile practices in day-to-day work.

Skills

SQL

ETL/ELT tools

BI tools

Cloud platforms

Data warehousing concepts

AI tools

Data profiling

Education

BS/BA in Computer Science, Data Science, or Engineering

Tools

Informatica

TIBCO

SSIS

Job description

Sun Life Financial in Waterford, Ireland offers a Data Engineering Intern position crafted for current students seeking hands-on experience with data pipelines and analytics under experienced mentors. You will work on SQL, ETL/ELT processes, BI tools, and cloud concepts, contributing to data quality and documentation, while embracing Agile practices in an on-site internship.

This role provides learning opportunities across data profiling, AI-assisted development tools, and collaboration with a