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Data Engineer – IBM Information Analyzer, Ataccama, Python & SQL
Job Location:
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
5years
Experience Required:
Posted:
18 August 2026 (3 hours ago)
Posted:
Application Deadline:
15 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Engineer IBM Information Analyzer Ataccama Python & SQL
Toronto ON - Hybrid (4 Days WFO)
Job Description
What is the Opportunity
The Metadata Engineering team is undertaking multiple complex enterprise-wide initiatives as part of RBCs ongoing plan to improve data management and data-driven decision-making across the this role you will be responsible for strategically planning and managing successful implementation of data architectures and engineering solutions. The role will coordinate develop lead communicate and execute activities to ensure objectives are accomplished on time.
What Will You Do
Design develop test and deploy complex data architectures and reusable data assets that enable analytics and reporting capabilities across the organization
Build and maintain data pipelines with strong attention to code quality security standards automated testing and comprehensive documentation
Support deployment pipelines and DevOps practices to ensure reliable data platform operations and system stability
Implement monitoring logging and alerting solutions to maintain visibility into data pipeline health and proactively identify performance issues
Identify and remediate security vulnerabilities in data systems and code; conduct peer code reviews with focus on secure coding standards and best practices
Explore and evaluate emerging technologies and AI/ML techniques to enhance data engineering capabilities and identify opportunities for process optimization
Collaborate with business and technology teams to understand requirements and design data solutions aligned with organizational strategy and compliance standards
Independently resolve complex data engineering problems by identifying areas for improvement and implementing scalable solutions
What Do You Need to Succeed
Must Have:
Hands on experience on Data Quality Tools IBM Information Analyzer and Attacama
Migration experience with Data Quality tools to migrate rules to target systems
3-5 years of data engineering experience with proven expertise in designing and deploying data architectures
Strong Python and SQL skills for data pipeline development querying and optimization
Experience with DevOps practices including CI/CD pipelines infrastructure automation and deployment processes
Security-focused mindset with understanding of secure coding standards and vulnerability management
Strong code quality discipline with experience in testing frameworks code reviews and quality standards
Nice to Have:
Experience with Java or other object-oriented scripting languages
Hands-on experience with Snowflake or other cloud data platforms
Familiarity with agentic AI systems and AI/ML model integration into data pipelines
Experience with AI/ML model integration and data science workflows
