Analytics Engineer

Job Type: Contract

Pay Rate: CAD 35/g on T4

Contract Duration: 12 Months (Potential for Extension)

Location: GTA, ON (Hybrid - Ideally 3 Days Onsite, Flexibility Available)

Analytics Engineer

What You Need to Do

· Develop, maintain, and optimize data transformation pipelines using dbt to support analytics, reporting, and data science initiatives.

· Design and implement scalable and efficient data models that improve data accessibility, consistency, and usability across business functions.

· Establish and maintain data quality frameworks, validation processes, and testing standards to ensure reliability and accuracy of enterprise data assets.

· Optimize data transformation workflows and pipelines to improve performance, scalability, and maintainability.

· Collaborate with analytics, data science, engineering, product, and business stakeholders to understand requirements and deliver trusted data solutions.

· Monitor, troubleshoot, and resolve data pipeline failures, data quality issues, and performance bottlenecks.

· Support the development and enhancement of enterprise data infrastructure and analytics capabilities.

· Develop and maintain technical documentation, including data models, transformation logic, lineage, schema definitions, and operational processes.

· Participate in code reviews and promote analytics engineering best practices, including modular development, testing, documentation, and version control.

· Identify opportunities to improve data governance, operational efficiency, and overall data reliability across the organization.

What You'll Need to Succeed

· Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related discipline.

· 3+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a related data-focused role.





· Strong hands-on SQL experience with a proven ability to build and maintain complex data models.

· Experience using dbt (Data Build Tool) or similar modern data transformation frameworks.

· Strong understanding of data modeling, data warehousing concepts, database design, and analytics engineering best practices.

· Experience working with enterprise cloud data warehouse platforms.

· Experience troubleshooting data pipelines, resolving data quality issues, and improving data reliability.

· Strong problem-solving, analytical, and critical-thinking skills.

· Excellent communication and stakeholder management skills with the ability to collaborate effectively with both technical and non-technical teams.

· Ability to work independently while managing multiple priorities in a quick-paced environment.

Nice to Have

· Experience with modern cloud platforms such as AWS, Azure, or GCP.

· Experience supporting business intelligence, reporting, and analytics initiatives.

· Familiarity with CI/CD, version control, and software engineering best practices.

· Experience with data governance, lineage, and metadata management.

· Exposure to data science workflows and advanced analytics environments.

What You'll Get in Return

You will have the opportunity to work with a collaborative and innovative team focused on delivering high-quality data solutions. The client offers exposure to modern analytics and cloud technologies, a flexible hybrid work model, and the opportunity to contribute to impactful data-driven initiatives across the organization.

What You Need to Do Now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess, or select applicants for the position.

📌 analytics engineer (Toronto)
🏢 Hays
📍 Toronto