Senior Data Engineer - GFT Halifax
Indexed description
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
- 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
- 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
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
Additional Job Details
Address:
120 WESTERN PKY:BEDFORD
City:
Bedford
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-06-03
Application Deadline:
2026-07-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
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