Data Engineering Intern: Learn, Build & Deliver with AI

Sun Life; Dublin; On-site; EUR 17,000 - 25,000; Part time

Job summary

Sun Life invites applications for a data engineering internship based on-site at our Waterford office. You will assist senior engineers in designing, developing, and testing data solutions while learning best practices and gain hands-on experience with industry-standard tools, including AI-assisted development platforms.

The role targets current third-year students or recent graduates pursuing a BS/BA in CS, Data Science, Engineering or related fields, with a foundational SQL knowledge and

Qualifications

• Enrolled in a BS/BA program in CS, DS, Engineering or related field.
• Foundational knowledge of database concepts and SQL.
• Interest in data engineering and analytical solutions.
• Open to learning with AI-powered tools and platforms.
• No prior professional experience required; eagerness to learn is essential.

Responsibilities

• Assist in the design, development, and testing of data solutions under senior engineer guidance.
• Support ETL/ELT development and data pipeline maintenance.
• Utilize AI-assisted tools for code development and documentation under mentorship.
• Help create and maintain technical documentation.
• Participate in data analysis, validation, and quality assurance activities.
• Support data profiling and anomaly detection using AI-powered tools.
• Troubleshoot and debug issues with support and mentorship.
• Learn and apply Agile best practices in day-to-day work.

Skills

SQL

ETL Tools

BI Tools

AWS

Data Warehousing

AI Tools

AI Data Quality

Education

BS/BA in CS/Data Science/Engineering

Job description

Sun Life invites applications for a data engineering internship based on-site at our Waterford office. You will assist senior engineers in designing, developing, and testing data solutions while learning best practices and gain hands-on experience with industry-standard tools, including AI-assisted development platforms.

The role targets current third-year students or recent graduates pursuing a BS/BA in CS, Data Science, Engineering or related fields, with a foundational SQL knowledge and