Senior Data Engineer - GFT Halifax

RBC; Halifax; On-site; CAD 90,000 - 130,000; Full time

Job summary

RBC is seeking a data engineer to design and deploy complex data architectures and reusable assets that enable analytics across the organization. You will build data pipelines with strong code quality, security, and automated testing, while supporting deployment pipelines for reliable platform operations.

Responsibilities include monitoring pipeline health, identifying performance issues, and collaborating with teams to deliver compliant data solutions.

Qualifications

• 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.

Responsibilities

• 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

Skills

Data engineering

Python

SQL

DevOps CI/CD

Security

Tools

Snowflake

Job description

Job Description

What is the Opportunity? The Metadata Engineering team within Global Functions Technology (GFT) is undertaking multiple complex enterprise-wide initiatives as part of RBC’s ongoing plan to improve data management and data-driven decision-making across the organization. In 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

• 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

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


• A world-class training program in financial services


• Flexible work/life balance options


• Opportunities to do challenging work

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

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: 2026-08-31

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.