Job DescriptionWhat is the opportunity?Join the Data Engineering, Management, and Insights team at RBC within the Security Insights and AI group under Global Security. This role is your chance to shape the future of data centralization at RBC by enhancing the Global Security DataHub platform, built on Snowflake, a cutting-edge cloud data platform.
As a Data Engineer, you'll play a pivotal role in designing, implementing, and supporting innovative tools and utilities that elevate the platform's capabilities while streamlining workflows for end-users. Collaborate directly with fellow data engineers to architect and deploy robust data pipelines, turning complex challenges into scalable solutions. This is more than just coding-it's about driving efficiency, security, and strategic decision-making across the organization.
If you thrive on turning data into actionable insights and want to be part of a team shaping the future of security and analytics, this is your opportunity to make a difference.
What will you do?- Build and Optimize Data Pipelines: Design, develop, and enhance scalable ETL/ELT pipelines to migrate, transform, and load large datasets from diverse sources (e.g., databases, APIs, flat files), ensuring seamless integration for analytics, reporting, and AI solutions.
- Drive Technical Innovation: Leverage advanced tools and techniques to create reusable, secure, and efficient technical solutions that align with business needs and project lifecycle deliverables, including data sharing and governance.
- Champion Snowflake Best Practices: Guide users on effective Snowflake utilization, establishing standards for data consumption, storage, and workflow integration while designing and implementing high-impact stored procedures.
- Collaborate Across Teams: Partner with cross-functional stakeholders to translate data requirements into robust solutions that empower analytics, reporting, AI, and machine learning initiatives.
- Strengthen Data Governance: Implement and maintain best practices for metadata management, access controls, and compliance to ensure data integrity and security.
- Ensure Performance and Scalability: Monitor system performance, troubleshoot issues, and optimize queries/processes to maximize efficiency and scalability.
- Automate and Streamline Workflows: Use Python scripting and orchestration tools (e.g., Airflow) to automate platform utilities and workflows, reducing manual effort and enhancing reliability.
- Document and Share Knowledge: Create clear technical documentation for processes, architectures, and data models to foster team collaboration and institutional knowledge.
What do you need to succeed?Must-have- Snowflake Expertise: Hands-on experience with Snowflake (e.g., designing stored procedures, optimizing queries, data storage/consumption best practices).
- Data Pipeline Development: Proficiency in building, optimizing, and maintaining ETL/ELT pipelines for large-scale data migration and transformation.
- Programming & Automation: Strong scripting skills in Python for automation and tool development and experience with workflow orchestration tools (e.g., Airflow).
- Data Governance & Security: Knowledge of implementing data governance practices (metadata management, access controls, compliance).
- Performance Optimization: Skills in monitoring, troubleshooting, and optimizing database/query performance for scalability.
Nice-to-have- Technical Collaboration & Communication: Ability to guide users/teams on platform best practices and present technical solutions in cross-functional meetings.
- DevOps & CI/CD Practices: Knowledge of version control (Git), containerization (Docker), or CI/CD pipelines for data engineering workflows.
- Documentation & Knowledge Sharing: Experience documenting technical processes, architectures, and data models for team use.
- Advanced Data Modeling: Experience designing dimensional models (e.g., star/snowflake schemas) or optimizing data warehouses for analytics
What's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
- Flexible work/life balance options
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business
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Job SkillsAnalytics, Big Data, Big Data Management, Cloud Computing, Collaboration, Critical Thinking, Database Development, Data Engineering, Data Mining, Data Modeling, Data Pipelines, Datasets, Data Warehousing (DW), ETL Processing, Extract Transform & Load (ETL) Tools, Extract Transform Load (ETL), Git, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job DetailsAddress:16 YORK ST:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-09-02
Application Deadline:2026-10-02
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
