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Data Integrity Engineer Jobs in Toronto, ON (NOW HIRING)

MCAP

Senior Data Analyst

Toronto, ON · On-site

... primary data analyst and report developer for Single Family Operations. This role involves ... data integrity * Develop automated reporting solutions (e.g., SSIS, SSRS) and support data ...

Scotiabank

Manager, Data Engineer

Toronto, ON · On-site

... engineering best practices. * Applies iterative development practices across all phases of data ... Ensures the availability, reliability, and integrity of data products through monitoring, controls ...

JLL

Data Engineer 2

Toronto, ON · On-site

We are seeking a Data Engineer P2 who is a self-starter to work in a diverse and fast-paced ... integrity Strong streaming and real-time API/service validation including automation Experience ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

... integrity. Collaborate with data architect, business analysts, data scientists, data engineers ... data analysts, solution architects and data modelers to develop data pipelines to feed our data ...

Virtusa

Junior Associate

Toronto, ON · On-site

... data integrity by collaborating with data engineering teams to validate clean and structure data pipelines CrossFunctional Collaboration Partner with teams across Product Marketing Finance or ...

Martin Brower

Business Data Analyst

Mississauga, ON · On-site

Maintain data integrity, ensure consistency across automated processes. Collaborate with data ... Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders ...

Martin Brower

Business Data Analyst

Mississauga, ON · On-site

Maintain data integrity, ensure consistency across automated processes. Collaborate with data ... Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders ...

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Data Integrity Engineer information

What is a data integrity engineer?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges data integrity engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.

What are the key skills and qualifications needed to thrive as a data integrity engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are popular job titles related to Data Integrity Engineer jobs in Toronto, ON?

For Data Integrity Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Integrity Engineer jobs in Toronto, ON look for?

The top searched job categories for Data Integrity Engineer jobs in Toronto, ON are:

Data Integrity Engineer jobs near you
Infographic showing various Data Integrity Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Data Analyst

MCAP

Toronto, ON • On-site

Full-time

Posted 8 days ago

Job description

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with Single Family Operations' business units, utilizing advanced SQL and Excel skills to extract and manipulate data from multiple sources, and leveraging visualization tools to transform raw data into meaningful reports and dynamic dashboards that address specific business needs. The Sr. Data Analyst (SF Ops) is a key contributor to enhancing operational efficiency and strategic decision-making through accurate and timely reporting.

This role provides timely and thorough analysis, as well as sound and prudent feedback on major projects and business opportunities identified by Single Family Operations' senior leadership team. It ensures all relevant business requirements are met, risks are mitigated, alternative options are explored, and costs are managed. This role works together with business units, and internal technology teams to document processes and solutions, present and explore new methods to enhance operations, test and validate results, implement appropriate process and technology solutions, and provide information and support to the training team.

Provide subject matter expertise and impact analysis on projects and business opportunities. 

  • Develop, maintain and automate reporting to improve efficiency and data accessibility
  • Translate business needs into clear reporting and system requirements, ensuring proper documentation
  • Collaborate with business units and IT to develop solutions, resolve issues, and assess impacts
  • Extract, integrate, and analyze data from multiple sources using SQL while ensuring accuracy and data integrity
  • Develop automated reporting solutions (e.g., SSIS, SSRS) and support data optimization initiatives
  • Review and validate analysis outputs, providing feedback and supporting sign-off processes
  • Build and maintain effective cross-functional relationships across the organization while handling sensitive information with confidentiality
  • Document reporting procedures and contribute to data optimization and streamlining initiatives
  • Operates with high independence, proactively identifies opportunities, influences business strategy, and provides recommendations directly to leadership
  • Identify data gaps, risks, and cross-functional impacts, and support issue resolution with IT and stakeholders
  • Support business case development and communicate findings through reports and presentations
  • Apply extensive business background and working knowledge of systems to identify options, impacts and issues affecting other business units not initially included in the project scope

Collaborate with Stakeholders, the Leadership Team, and IT team to implement appropriate data and reporting solutions.

  • Document report specifications and changes for impacted business units
  • Assist in providing end user testing and signoff on test results
  • Anticipate and communicate risks as well as propose associated mitigation strategies
  • Identify opportunities for report automation and optimization to enhance the efficiency of report generation
  • Keep current on industry best practices and emerging tools for data analysis and reporting
  • Integrate data from various systems and databases to create comprehensive datasets for analysis
  • Perform data cleansing and transformation to ensure the quality and reliability of the data used in reports
  • Effectively communicate and provide progress updates 
  • Escalate immediately relevant problems with recommended action plans
  • Recognize opportunities to increase efficiency by combining similar requests

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