Data Quality Engineer at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Informatica IDQ, Cloud Data Quality (CDQ), Data Profiling, Data Cleansing, Data Validation, SQL, Data Analysis, Data Governance, Metadata Management, ETL, ELT, Data Quality Rules, KPI Definition, Anomaly Detection, Dashboard Production

Industry

Financial Services

Description

Job Description WHAT IS THE OPPORTUNITY? We are seeking a Data Quality Engineer responsible for implementing enterprise data quality frameworks and improving trust in enterprise data assets. The role will leverage Informatica IDQ or Cloud Data Quality (CDQ) to monitor, validate, and enhance data quality across critical data domains.. 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 Quality architecture within project timeframes. WHAT WILL YOU DO? Implement enterprise data quality rules and monitoring frameworks. Configure and develop Informatica IDQ/CDQ profiling and validation workflows. Perform data profiling and anomaly detection on large datasets. Work with business stakeholders to define data quality rules and KPIs. Implement automated data validation checks across pipelines. Develop remediation processes for data quality issues. Integrate data quality checks into ETL/ELT pipelines. Produce dashboards and reports highlighting data quality metrics. WHAT DO YOU NEED TO SUCCEED? Must have: Bachelor's Degree or equivalent 3–6 years experience in data engineering or data quality engineering. Hands-on experience with Informatica IDQ or Cloud Data Quality (CDQ). Experience with data profiling, cleansing, and validation frameworks. Strong SQL skills and data analysis capabilities. Understanding of data governance and metadata management concepts. Nice-to-have: Experience with data Lineage tools like CDGC Familiarity with regulatory data quality requirements in financial services. Experience integrating data quality rules into ETL pipelines. 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 #LI-POST #TechPJ Job Skills Agile Methodology, Cloud Computing, Cloud Computing Architecture, Cloud Platform, Infrastructure As Code (IaC), IT Systems Integration, Performance Measurement, Requirements Analysis, Software Development, Systems Software Additional Job Details Address: 180 WELLINGTON 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: 2026-03-20 Application Deadline: 2026-04-20 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.

Responsibilities

The Data Quality Engineer will be responsible for implementing enterprise data quality rules and monitoring frameworks, configuring Informatica IDQ/CDQ workflows, and performing data profiling on large datasets. This role involves working with business stakeholders to define quality rules and integrating automated validation checks across data pipelines.