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