Senior Data Engineer building AWS, Snowflake, Python, PySpark, and SQL data products for Sun Life’s Canadian financial - services business. Enabling analytics, data science, governance, and client insights.
About the role
- Associate Data Engineer building reliable data pipelines and contributing to data solutions at Confluence. Collaborating closely with experienced engineers and analysts in a modern data environment.
Responsibilities
- Work closely with experienced engineers and analysts to build reliable data pipelines
- Shape how data flows across the organization
- Writing code daily, solving real data challenges, and contributing to scalable data solutions
- Collaborate in a team where learning and mentoring are part of the culture
- Gain hands-on experience with modern data tools and technologies
- Build a solid foundation for a long-term career in data engineering
- Contribute to meaningful projects that support real business decisions
Requirements
- Some hands-on experience with Python for data processing or automation
- Good working knowledge of SQL, including working with larger datasets
- Exposure to ETL pipelines or data workflows (academic, internship, or professional experience)
- Understanding of data modelling or transformation concepts
- Comfortable working in a collaborative, code-first environment
- Nice to Have: Experience with Snowflake
- Exposure to cloud platforms like AWS, Azure, or GCP
- Familiarity with orchestration tools (e.g., Airflow)
- Interest or exposure to financial data environments
Benefits
- Generous Time Off packages including additional half days with each public holiday in your location.
- Global Career Development opportunities
- Social Events
- Referral Bonus scheme - Upto $3,000 per successful referral
- Plus many more!
Job title
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