What is the opportunity?

We are seeking a Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics and reporting. The role will focus on developing ETL/ELT pipelines using Informatica and dbt, ensuring reliable and efficient data integration across multiple enterprise systems. The Data Engineer works with department and lines of business subject matter expert (SMEs) across the enterprise to meet departmental and organizational objectives. 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 and implement data ingestion and transformation pipelines.

• Develop ETL workflows using Informatica IICS.

• 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:

• Bachelor’s degree in a related field (e.g., Computer Science, Business, Engineering) or equivalent experience.

• 3–6 years’ experience in data engineering or ETL development.

• Hands-on experience with Informatica ETL tools.

• Experience with dbt and ELT-based transformation frameworks.

• Strong SQL skills and understanding of data modeling concepts.

• Experience working with enterprise data warehouses or cloud platforms.

• Experience with source control (Git), testing frameworks, and CI/CD pipelines.

• Experience working in Agile engineering environments.

Nice to have:

• Experience with Snowflake, Databricks, or cloud data platforms.

• Experience with Python.

• Familiarity with data orchestration tools (Airflow, Control-M).

• Experience in banking or financial services data environments.

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.

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Additional Job Details

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.

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.