Data Engineer
Start Date:
March 23, 2026
Duration:
12 months
Extension:
Possible
Conversion:
Possible
Schedule:
Mon–Fri, 9:00 AM – 5:00 PM
Location:
Hybrid – Toronto, ON (3 days onsite per week)
Positions:
2
Role Overview
Seeking Data Engineers to support analytics and business intelligence initiatives within a large enterprise environment. The role focuses on designing and maintaining data pipelines, supporting data warehouse solutions, and enabling scalable analytics capabilities while contributing to ongoing cloud modernization initiatives.
Key Responsibilities
Design and implement scalable data pipelines and ETL processes
Develop and maintain data models and data warehouse infrastructure
Support analytics and reporting platforms through efficient data integration
Collaborate with data analysts, BI engineers, and business stakeholders to deliver data solutions
Participate in modernization and migration initiatives to cloud platforms
Optimize performance, reliability, and scalability of data systems
Ensure high-quality data flow across multiple platforms and applications
Required Qualifications
5+ years of experience in Data Engineering and ETL development
Strong proficiency with Python and SQL for data processing and automation
Experience with data modeling, data warehousing, and analytics concepts
Experience supporting data pipelines and data transformation processes
Familiarity with AWS tools such as SageMaker or other AWS data services
Experience supporting modernization or migration initiatives
Strong analytical, problem-solving, and collaboration skills
Bachelor’s degree in Computer Science, Engineering, or a related field
Nice to Have
Experience with SAS or WebFOCUS for analytics and reporting
Exposure to machine learning workflows and AWS SageMaker integration
Knowledge of data governance, security, and compliance in cloud environments
Experience with CI/CD pipelines supporting data engineering workflows
Hands-on experience with cloud-based data platforms (AWS preferred)
Financial services or banking industry experience
Soft Skills
Strong communication and stakeholder collaboration skills
Ability to work independently and in a team-oriented environment
Strong attention to detail and analytical thinking
Note:
We use AI tools to obtain basic information, detect plagiarism, false employment history or references, categorize skills, and perform an initial match against the job posting.