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 fieldStrong proficiency in SQL , with working knowledge of Python or RExperience working with BI tools, including Tableau and Qlik (strong preference)Hands-on experience building and managing production data pipelinesFamiliarity with data validation, data SLOs, and pipeline monitoring best practicesExperience with Databricks, dbt, and cloud platforms such as AWS and GCPSolid conceptual knowledge of normalization, schema design, and transitive dependenciesExcellent problem-solving skills and the ability to work cross-functionally in high-growth, ambiguous environmentsEffective communicator with the ability to explain technical concepts to non-technical audiencesStrong project management skills with a proven track record of juggling multiple projects simultaneouslyPreferred Qualifications :
Experience with QuickETLBachelor’s degree in Computer Science, Statistics, Mathematics, Data Analytics, Finance, or a related field—or equivalent experienceSeniority level
Seniority level
Associate
Employment type
Employment type
Contract
Job function
Job function
Information Technology
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