Data Engineering Intern - Mentorship & AI Tools

Sun Life Financial; Waterford; Hybrid; EUR 13,000 - 20,000; Full time

Job summary

Sun Life Financial seeks a Data Engineering Intern for its Waterford, Ireland office. The role involves supporting design, development, and testing of data solutions under senior guidance, with hands-on experience in ETL/ELT and cloud platforms.

You will gain exposure to AI-assisted development tools, data profiling, and quality assurance, while following Agile practices and contributing to data-first initiatives. On-site internship with mentorship and growth opportunities.

Qualifications

• Current enrollment or recent graduate in a relevant degree program.
• Foundational knowledge of databases and SQL.
• Interest in data engineering and analytical solutions.
• Willingness to learn AI-powered tools and platforms.
• No prior professional experience required; eagerness to learn is essential.

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 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.
• Learn Agile practices and contribute to continuous improvement.

Skills

SQL

ETL/ELT tools

BI tools

Cloud platforms

Data warehousing

AI-assisted tools

Data profiling

Education

BS/BA in CS/Data Science/Engineering

Tools

Informatica

TIBCO

SSIS

Job description

Sun Life Financial seeks a Data Engineering Intern for its Waterford, Ireland office. The role involves supporting design, development, and testing of data solutions under senior guidance, with hands-on experience in ETL/ELT and cloud platforms.

You will gain exposure to AI-assisted development tools, data profiling, and quality assurance, while following Agile practices and contributing to data-first initiatives. On-site internship with mentorship and growth opportunities.