RBCxVerified Job Source

Senior Data Engineer

Toronto, ON
On-site
Posted Sep 20, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 38 hours per week

Job summary

Design, implement, and maintain scalable data ingestion and transformation pipelines using tools like dbt and SQL. Collaborate with architects and analysts to ensure data quality and document technical architecture.

Job details

Job Description WHAT IS THE OPPORTUNITY? We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to ensure accurate and efficient build out of data pipeline architecture within project timeframes. WHAT WILL YOU DO? Design, implement and maintain data ingestion and transformation pipelines. Build transformation models and data pipelines using dbt. Develop optimized SQL transformations for large datasets. Implement data quality checks and validation logic within ETL pipelines. Monitor data pipelines and troubleshoot production issues. Collaborate with data analysts and architects to design scalable data models. Document data lineage, transformations, and technical architecture. Participate in Agile development processes and code reviews. WHAT DO YOU NEED TO SUCCEED? Must have: 3+ years of hands-on data engineering experience. Strong technical proficiency in: Python: Production-quality code for data pipelines, automation, and scripting, including PySpark. SQL: Advanced query writing, optimization, indexing, stored procedures. ETL: Utilizing DataFrames for building programmatic ETL data pipelines. AWS: S3, Glue, Lambda, Redshift, Cloudwatch. Snowflake: Data warehousing, virtual warehouses, clustering, security. dbt: Model development, testing, documentation, incremental builds. Familiarity with data orchestration tools (Airflow). Demonstrated ability to work independently, take ownership, and drive projects to completion. Excellent problem-solving skills and attention to detail. Nice-to-have: Knowledge of data streaming platforms or queues (Apache Kafka, AWS Kinesis, RabbitMQ) Experience in building Kotlin, Spring boot and Java applications. Familiarity with Parquet formatting to maximize I/O performance and storage efficiency across data lakes. 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: 20 KING ST W: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: 2026-09-17 Application Deadline: 2026-10-02 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. 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.

What you’ll do

Requirements

Requires at least 3 years of hands-on data engineering experience with proficiency in Python, SQL, and AWS cloud services. Candidates should have strong problem-solving skills and experience with data warehousing and ETL processes.

Benefits

• Bonuses • Flexible benefits • Competitive compensation • Commissions • Stock options • Professional development coaching • Flexible work-life balance options