Technology Solutions, Data Platform & Engineering - Winter 2027 Co-op/Intern
A 4-month Winter 2027 co-op/internship with Definity's Data Platform & Engineering team in Toronto (hybrid). The student works on data engineering tasks in Google Cloud — ingesting and transforming data, handling file formats like AVRO/ORC/Parquet, coding in Python/Spark/Scala, writing SQL and shell scripts, and using Jira, Bitbucket, Jenkins, and Confluence. Pays from $22.50/hour.
- Compensation
- CA$23 / hr
- Location
- Toronto, Canada
- Work setup
- Hybrid
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Currently enrolled in a full-time co-op program in Computer Science, Computer Engineering, or a related field
- Foundational knowledge of data engineering concepts and interest in large-scale data systems
- Experience with programming languages such as Python, Spark, or Scala
- Basic understanding of SQL and working with relational or cloud-based databases
- Exposure to cloud platforms (e.g., Google Cloud) or strong willingness to learn
- Strong analytical, problem-solving, and learning agility in a fast-paced environment
- Effective communication and documentation skills
Nice to have
- Familiarity with data formats (AVRO, ORC, Parquet) and scripting/automation (e.g., Shell)
- Exposure to tools such as Jira, Bitbucket, Jenkins, or Confluence, with a collaborative team mindset
Full description
Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.
We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.
YOUR NEXT CO-OP PLACEMENT
Work term: Winter 2027
Work term length: 4 months
From classroom to co-op to career, every step of your journey has an impact on your future. That’s why it makes sense to choose a co-op placement with a company that offers truly rewarding work and real-life experience. At Definity®, your contributions, creativity, and energy will be put to good use, and you’ll get to be involved with initiatives that support our strategic goals and use your skills in a supportive team environment.
If you’re looking for a company that takes care of its people — full time, part time, and co-ops alike — and has a track record of doing big things, get ready to love it here.
What can you expect in this role?
What you’ll be doing
- Understanding Data Engineering concepts and related tools/technologies
- Preparing Data sample, performing Data ingestion and transforming Data in Google Cloud
- Working on different file formats (e.g. AVRO, ORC, Parquet) and data movement into and out of Cloud based DBs.
- Coding in either Python, Spark or Scala
- Writing Shell Scripts
- Preparing and executing SQL based queries
- Documenting process using Confluence
- Gaining experience of issue tracking (Jira), source code management (Bitbucket), continuous integrations and build tools (Jenkins), package management and testing framework
What you bring
- Currently enrolled in a full-time co-op program in Computer Science, Computer Engineering, or a related field
- Foundational knowledge of data engineering concepts and interest in working with large-scale data systems
- Experience with programming languages such as Python, Spark, or Scala
- Basic understanding of SQL and working with relational or cloud-based databases
- Exposure to cloud platforms (e.g., Google Cloud) or strong willingness to learn
- Familiarity with data formats (e.g., AVRO, ORC, Parquet) and scripting/automation (e.g., Shell) is an asset
- Strong analytical, problem-solving, and learning agility in a fast-paced environment