Student, Data Engineer (Winter and Summer 2027)

Student Data Engineering Term

Preferred Skills

• Python programming, SQL, and database querying.
• Data modelling and metadata management.
• Git and API development experience.
• Understanding of lakehouse and modern data platforms.
• Knowledge of AI, LLMs, embeddings, vector search, and RAG concepts.
• Experience with AI-assisted software engineering tools, including VS Code, GitHub, and coding agents.
• Strong analytical and problem-solving skills.

Qualifications

• Upper-year undergraduate, master's, or PhD student in a quantitative field with graduation in August 2027 or later.
• Strong software engineering fundamentals.
• Understanding of modern data architecture principles and practices.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively.
• Curiosity, initiative, and willingness to learn new technologies.
• French and English oral and written bilingualism is required for Quebec only.

Responsibilities

• Contribute to AI-ready data acquisition, canonical modelling, metadata management, retrieval, and governed AI consumption.
• Support data architecture research, prototyping, testing, and documentation.
• Improve reusable data architecture patterns, standards, and best practices.
• Support enterprise data architecture governance and review processes.
• Coordinate and track Enterprise Architecture architecture reviews.
• Collaborate with architects, engineers, and business stakeholders.
• Contribute to technical documentation and knowledge sharing.

Workplace

• Sun Life is a hybrid organization offering flexibility to work from the office and virtually based on business needs.

Compensation

• Base pay varies depending on the campus program selected.
• Eligible campus graduate program employees may participate in discretionary incentive plans.