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Data Quality Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: 0000050007 Royal Bank of Canada
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Description

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 time frames.

Responsibilities
  • 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.
Qualifications
  • 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.
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
Benefits
  • 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.
Location

180 Wellington St W, Toronto, Canada

Employment Type:

Full time.

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Position Requirements
5+ Years work experience
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