Senior Data & Analytics Engineer na Rbc

What is the opportunity?
You'll join the GRM Portfolio Risk Oversight team, which provides independent, effective monitoring, control, and communication on material risks for Business Financial Services (BFS). As a Senior Data & Analytics Engineer, you'll contribute to BFS risk oversight strategies by delivering high quality risk data assets and supporting our open-source data infrastructure. Success in this role means developing strong relationships with business leaders and supporting decision-making through custom analytics and continuous evolution of our Analytics models. Our best-in-class analytics stack requires ongoing refinement to provide business users with relevant, timely self-serve analytics capabilities.

As a hands-on practitioner, you will ensure data is accurately tracked, maintained, and analyzed to optimize processes and support business objectives. You will design, build, and maintain our open-source analytics stack, creating reliable data pipelines and workflows that drive analytics initiatives across the team. The Senior Data & Analytics Engineer will be instrumental in supporting data-driven decisions, risk evaluation, and automation efforts. You will work with technologies such as Python, SQL, Apache Airflow, JupyterHub, Docker, Trino, CDP (Hadoop), Spark, OCP, GitHub Actions, and Red Hat Enterprise Linux (RHEL), ensuring data pipelines are robust, well-documented, and validated for accuracy and completeness.

What will you do?

• Develop and maintain our open-source Analytics stack infrastructure
• Assist in maintaining enterprise data solutions across platforms, including RBC’s data lake and databases.
• Design, deploy, and automate data pipelines while enhancing our data engineering architecture
• Create software for retrieving, parsing, and processing structured and unstructured data
• Define and build scalable ETL/ELT workflows for reporting and analytics
• Support the project team to scale, monitor, and operate data platforms for very high availability and performance
• Create and implement data quality frameworks ensuring completeness, accuracy, and integrity
• Establish systematic data validation processes to ensure reporting and analytics accuracy

​What do you need to succeed?
Must have:

• Bachelor's degree in Computer Science, Information Systems, Statistics, or related field
• Proven experience in data/analytics engineering, including designing and optimizing data pipelines, DB schemas, ETL processes, and data warehousing.
• 3+ years' experience in data engineering using Python and Bash, including data ingestion from various formats, API data acquisition, and data processing with libraries like NumPy and Pandas
• Strong understanding of Git-based workflows and GitHub, with the ability to establish repository standards, branching strategies and automation pipelines
• Experience implementing and supporting modern data stack technologies
• Advanced SQL skills with ability to write complex queries for extracting and integrating data from multiple sources
• Strong background in data processing and transformation technologies
• Development experience with open-source frameworks and tools
• Experience building data pipelines with Apache Airflow
• Experience working with RHEL (Red Hat Enterprise Linux)

Nice-to-have:

• Experience in Financial Services, especially Business Financial Services
• Knowledge of data governance, data quality, and data security
• Strong understanding of Credit Risk Management

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
• 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

ROYAL BANK PLAZA, 200 BAY ST:TORONTOTorontoCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2025-08-132025-09-22

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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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