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Data Engineer
Data EngineerMotion Recruitment • Toronto, ON, CA
Data Engineer

Data Engineer

Motion Recruitment • Toronto, ON, CA
Il y a plus de 30 jours
Type de contrat
  • Permanent
Description de poste

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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