Data Engineer - Toronto - Motion Recruitment

    Motion Recruitment
    Motion Recruitment Toronto

    1 week ago

    Description

    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.

    Base pay range

    $70.00/hr - $75.00/hr

    Direct message the job poster from Motion Recruitment

    Lead Talent Recruiter, Enterprise Talent Services at 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

    • Seniority level

      Associate

    Employment type

    • Employment type

      Contract

    Job function

    • Job function

      Information Technology

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