Data Engineering – Intern

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

At Sun Life, we're driven by our Purpose

helping our Clients achieve lifetime financial security and live healthier lives.

Our values shape how we work

caring, authentic, bold, inspiring, and impactful.

When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.

Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description

Eligibility

Internship opportunities are open exclusively to current third-year degree students who are required to complete an internship or work placement as a mandatory part of their degree program /coursework. Applicants must be returning to their studies following the internship and be able to provide confirmation from their educational institution that the placement forms part of their course requirements.

Position Overview

Support the design, development, and deployment of data and analytical solutions by assisting senior engineers with technical tasks, learning best practices, and contributing to high-quality deliverables. Work under mentorship to develop data engineering skills and gain hands-on experience with industry-standard tools and platforms, including AI-assisted development and analytics tools.

Technical Skills

1+ years experience with SQL or demonstrated proficiency through coursework

Familiarity with at least one ETL/ELT tool (Informatica, TIBCO, SSIS, etc.) or willingness to learn

Basic understanding of BI tools such as Tableau, PowerBI, or Business Objects

Exposure to or interest in cloud platforms like AWS or Snowflake

Familiarity with data warehouse concepts preferred

Experience or interest in AI-assisted development tools and code generation platforms

Familiarity with data profiling and quality tools that leverage AI/ML for anomaly detection

Key Skills

Foundational understanding of data concepts and analytical thinking

Ability to follow technical procedures and ask clarifying questions

Basic problem-solving skills with eagerness to learn from feedback

Clear written and verbal communication skills

Organizational skills and attention to detail

Understanding of data security and privacy principles at a foundational level

Awareness of how AI tools can enhance data quality, automation, and insights

Collaborative team player with initiative to take on assigned tasks

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, documentation, and troubleshooting 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

Augment and prepare data sets for analysis under supervision

Contribute ideas and ask questions to understand the "data-first" approach

Support senior engineers in project delivery and continuous improvement initiatives

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

Demonstrated interest in data engineering and analytical solutions

Openness to learning and working with AI-powered tools and platforms

No prior professional experience required; eagerness to learn is essential

**Interns in this position will work fully on-site at our Waterford office for the duration of their internship. **

Job Category

Advanced Analytics

Posting End Date

23/10/2026