Data Engineer

This range is provided by Motion Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$70.00/hr - $75.00/hr

Direct message the job poster from Motion Recruitment

One of Canada's largest financial services companies is seeking a Data Engineer to support data analytics and infrastructure initiatives across North American and LATAM markets. This role is ideal for someone who thrives in cross-functional environments, working at the intersection of data engineering, analytics, and product enablement. The engineer will play a key role in driving clean, scalable, and well-documented data pipelines while supporting dashboard accuracy, campaign targeting, and data migration initiatives.

This position begins as a 1-year, T4 or IC contract offering a hybrid schedule in Toronto and the potential to extend or convert to permanent employment!

Key Responsibilities:

• Manage developer portal assets, including user access, role assignments, and periodic security reviews
• Collaborate with distributed data engineering teams to troubleshoot table and pipeline issues
• Support analysts in setting up tables, managing data pipelines, and resolving incidents with the Superglue team
• Perform routine data pulls and segmentation for market targeting and campaign execution
• Conduct dashboard QA, monitor reporting health, and ensure data integrity
• Contribute to improving schema design, normalization, and schema evolution practices
• Assist in data migration from monolithic systems to domain-specific structures derived from microservices
• Design and implement database tables optimized for schema evolution and evolving business requirements
• Contribute to data usability, adoption, and documentation across paved path workflows
• Drive automation efforts and ensure scalable, compliant, and governed data solutions
• Deliver reusable and automated data aggregation, profiling, and visualization processes
• Support data architecture efforts with a focus on instrumentation, standards, and quality assurance

Required Skills & Experience:

• 3–4 years of experience in data engineering, analytics, or a related field
• Strong proficiency in SQL, with working knowledge of Python or R
• Experience working with BI tools, including Tableau and Qlik (strong preference)
• Hands-on experience building and managing production data pipelines
• Familiarity with data validation, data SLOs, and pipeline monitoring best practices
• Experience with Databricks, dbt, and cloud platforms such as AWS and GCP
• Solid conceptual knowledge of normalization, schema design, and transitive dependencies
• Excellent problem-solving skills and the ability to work cross-functionally in high-growth, ambiguous environments
• Effective communicator with the ability to explain technical concepts to non-technical audiences
• Strong project management skills with a proven track record of juggling multiple projects simultaneously

Preferred Qualifications:

• Experience with QuickETL
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Analytics, Finance, or a related field—or equivalent experience

• Seniority level Associate

• Employment type
  
  Contract

• Job function
  
  Information Technology

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