Data Quality Engineer

Job Description

BMO is currently sourcing for a Data Quality Engineer, to support the Financial Crimes Unit.
This is a hybrid contract role in Toronto (2 to 3 days in office per week).

Role Overview

This role supports the modernization of the data quality framework for fraud and financial crimes data. As the fraud data warehouse moves from an on-prem environment to AWS, the team is shifting from after-the-fact data quality checks toward automated, embedded monitoring. The Data Quality Engineer builds the rules, alerts and workflows that identify data issues earlier and reduce manual resolution. The role focuses on data management and governance rather than QA or testing, and works with business stakeholders at senior levels.

Key Responsibilities

• Design and build data quality rules and automated alerts across customer, account and transaction data
• Query, profile and prepare large datasets using SQL and Python
• Modernize the existing data quality framework as data moves from on-prem to AWS
• Develop automated and AI-enabled workflows to replace manual data issue resolution
• Document and catalog data as part of data governance practices
• Gather requirements and partner with senior business stakeholders on data issues
• Lead the data quality domain end to end as the primary point of contact

Must-Have Skills

• 7+ years of experience in data quality, data management or data governance at a senior level
• Hands-on SQL and Python (or R) for working with large datasets
• Hands-on experience building data quality rules and automated data quality alerts
• Hands-on experience with data quality and BI tools, with the ability to work across multiple tools
• Data governance and data management fundamentals, including data cataloging
• Working knowledge of cloud data environments, AWS preferred

Nice to Have Skills

• Prior BMO experience
• Experience at a financial institution, ideally a Canadian big five bank
• Fraud or financial crimes domain experience
• Exposure to Sybase IQ or on-prem to cloud data migrations
• Exposure to AI or automation workflows for data issue resolution
• Exposure to Splunk or cyber data

Ideal Candidate

• Has worked with enterprise-scale banking data volumes
• Has designed data quality solutions across several tools rather than specializing in one product
• Has a data governance background that gives context on how data is sourced, used and impacted
• Has led data quality or data management work with director-level stakeholders

Qualifications

About the BMO Contractor Talent Network

This contract job with BMO has been posted by Procom, BMO's recruitment service partner supporting the BMO Contractor Talent Network.

Should you be selected for this contract engagement, Procom will act as the employer of record or the agency of record for your contract engagement.

To find out more visit https://bmo.clientconnections.com.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.