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Data Jobs in Toronto, ON (NOW HIRING)

Quadreal

Data Engineer, Data Platform

Toronto, ON · On-site

CA$85K - CA$100K/yr

Reporting to the Team Lead, Data Platform, this role will contribute to building, scaling, and optimizing our Enterprise Data Platform on Microsoft Fabric and Azure. This is a hands-on engineering ...

Sanofi EU

Data Analyst

Mississauga, ON · On-site

CA$94K - CA$136K/yr

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the ...

Capco

Data Architect

Toronto, ON · On-site +1

The Role Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You'll work with clients to ...

Sanofi EU

Data Analyst

Brampton, ON · On-site

CA$94K - CA$136K/yr

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the ...

Aecon Group Inc.

Data Steward

Toronto, ON · On-site

Reporting to the Manager, Data Governance, the Data Steward will play a key role in advancing enterprise data governance practices by improving the quality, usability, classification, and ...

Scotiabank

Data Analyst

Toronto, ON · On-site

Team The Data team within Global Finance & Risk Technology (GFRT) provides enterprise-level analytics, data services, governance support, and operational data management for Global Finance ...

Sanofi EU

Data Analyst

Maple, ON · On-site

CA$94K - CA$136K/yr

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the ...

Sanofi EU

Data Analyst

Toronto, ON

CA$94K - CA$136K/yr

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the ...

HireValues

Data Architect

Toronto, ON · On-site

The Data Architect is responsible for scaling the data function as new products and services are implemented and transforming data into insights that inform strategy and decision making to support ...

Scotiabank

Data Analyst

Toronto, ON · On-site

Purpose The Data Analyst plays a key role in driving data-informed decision-making across Scotiabank by transforming complex data into meaningful insights that support business strategy, operational ...

ICES Central

Data Architect

Toronto, ON · On-site

CA$110K - CA$140K/yr

Data. Discovery. Better Health. ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health ...

Sanofi EU

Data Analyst

Unionville, ON · On-site

CA$94K - CA$136K/yr

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the ...

Konrad

Data Architect

Toronto, ON · Hybrid

CA$120K - CA$150K/yr

About The Role As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance ...

Td

Data Architect

Toronto, ON · On-site

CA$125K - CA$148K/yr

Data products, real-time pipelines, AI-ready foundations, regulatory reporting, and the APIs that make all of it consumable by the rest of the business. As Data Architect , you will drive the end-to ...

Meridian Credit Union

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical techniques ...

Sun Life Financial

Data Analyst

Toronto, ON · On-site

The Data Analyst will be helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business ...

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Data information

See Toronto, ON salary details

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How much do data jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data in Toronto, ON is $31.82, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $45.19 per hour, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Toronto, ON?

The most popular types of Data jobs in Toronto, ON are:

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

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

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

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

Data jobs near you
Infographic showing various Data job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $66,179 per year, or $31.8 per hour.

Data Engineer, Data Platform

Quadreal

Toronto, ON • On-site

CA$85K - CA$100K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 days ago

Job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

Role Description:

Reporting to the Team Lead, Data Platform, this role will contribute to building, scaling, and optimizing our Enterprise Data Platform on Microsoft Fabric and Azure. This is a hands-on engineering role for someone who thrives in code, designing and delivering high-quality data pipelines, APIs, and integrations using modern Python-based tools.

We are especially interested in engineers who come from a software development background and have since moved into the data space, bringing strong software engineering discipline (clean code, testing, version control, and automation) to how data pipelines are built and operated.

You will collaborate with Data Governance, IT, and business teams to ensure our solutions are scalable, maintainable, secure, and trusted. Alongside development, you will help apply and improve platform standards, share what you learn with the team, and work closely with stakeholders to deliver reliable, production-ready solutions.

Responsibilities:

Engineering & Development

  • Develop, test, and deploy robust, maintainable data pipelines and APIs using Python, dbt, Apache Airflow, and PySpark.

  • Build and maintain Microsoft Fabric Lakehouses, Warehouses, and workspaces within the enterprise data platform.

  • Build and optimize large-scale, distributed data processing workflows on Microsoft Fabric and Azure.

  • Package and deploy data workloads using Docker, following the team's reproducible release practices.

  • Implement data quality, validation, observability, and lineage controls to meet enterprise governance and compliance requirements.

Design & Standards

  • Contribute to the technical design of platform components and take part in the architecture discussions that shape how the team builds.

  • Apply and help strengthen the team's engineering standards: testing patterns, reusable frameworks, and code review practices, with clean, readable Python as the baseline.

  • Build governance and security into what you deliver, using Microsoft Purview for classification, tagging, and access control.

Collaboration & Growth

  • Work closely with Data Governance, Data Solutions, Advanced Analytics, and IT Security teams to ensure business alignment.

  • Take an active part in code reviews and pairing, both giving and acting on feedback to raise the team's overall bar.

  • Contribute to a culture of continuous learning, experimentation, and knowledge sharing.

Experience and Qualifications:

  • Bachelor's degree in computer science, Engineering, Information Systems, Business Technology Management, or a related field.

  • 2 to 4 years of experience in the data field (data engineering or similar roles), ideally with a background in software development that has since transitioned into data.

  • Strong Python skills: comfortable writing clean, efficient, production-grade code for pipelines, APIs, and data transformations. (Required)

  • Solid proficiency in SQL for complex querying and data manipulation. (Required)

  • Working knowledge of Microsoft Fabric (Lakehouses, Warehouses, and workspaces) and Microsoft Azure data services.

  • Experience with workflow orchestration using Apache Airflow.

  • Experience building data processing workloads with PySpark.

  • Familiarity with containerizing workloads using Docker.

  • Exposure to building data transformations with dbt.

  • Familiarity with modern data architectures (data lakehouse, data mesh, warehousing best practices).

  • Strong communication and collaboration skills, with a willingness to learn from and support teammates.

  • Experience integrating pipelines with governance tools (Microsoft Purview) is preferred.

  • Knowledge of CI/CD workflows using Azure DevOps and Git is preferred.

  • Experience using Infrastructure as Code (IaC) with Terraform / Terragrunt to automate provisioning of cloud data environments and platform components, ideally in Azure, is an asset.

This job posting is for an existing vacancy within our organization.

The expected annualized base salary range for this role is $85,000 - $100,000.

Based on the position, QuadReal offers a competitive total rewards package in addition to the base pay, which may include a performance-based incentive plan, comprehensive health & dental benefits, pension plan, and paid time off.

The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual's skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.

We value diverse experiences and perspectives. Even if your skills don't align 100% with the listed qualifications or salary range, we encourage you to apply - you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.

We use artificial intelligence (AI) technology - alongside human review - to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.

Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.

QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.

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