Drive data solutions as an Intermediate Data Engineer in Toronto with a hybrid work model. Help shape advanced analytics and data governance within the Financial sector. Our client seeks an Intermediate Data Engineer to join their Toronto-based Data & Analytics team.

This role requires 4-6 years of hands-on experience in data engineering, specifically in designing and optimizing ETL/ELT pipelines. You'll work closely with analysts to ensure solutions meet the organization's technical needs for improved data visibility and governance. Key Responsibilities:

- Build and maintain efficient ETL/ELT data pipelines
- Collaborate with teams to translate business requirements into data solutions
- Design scalable data architectures using AWS and Snowflake
- Ensure data quality and governance are maintained
- Assist in cloud migration initiatives Requirements:
- 4-6 years of data engineering experience
- Solid SQL skills;

experience with Snowflake or Databricks

- Knowledge of DBT and Airflow
- Familiar with CI/CD and data monitoring tools
- Experience in financial services is a plus Contribute to data innovation within a leading organization in wealth tech.

📌 Hybrid Data Engineer Role in Toronto
🏢 TALENT TO HIRE
📍 Toronto