Job DescriptionWHAT 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?- 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 SkillsActive Learning, Agile Methodology, Apache Airflow, Application Integrations, Data Ingestion, Data Modeling, Data Pipelines, Data Stream, dbt Core, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, ETL Pipelines, Group Problem Solving, Programming Languages, PySpark, Python (Programming Language), Snowflake (Platform), Software Development Life Cycle (SDLC), Structured Query Language (SQL)
Additional Job DetailsAddress: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:2026-07-21
Application Deadline:2026-08-05
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.
