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

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data ...

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data infrastructure and pipelines that enable scalable, data-driven outcomes. This role works ...

Borrowell

Data Engineer

Toronto, ON · On-site

About the role: As a Data Engineer, you will play a crucial role building and maintaining our data infrastructure and working with latest technologies such as Snowflake, Apache Airflow, DBT ...

Adastra Corporation

Data Engineer

Thornhill, ON

Overview Adastra is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and AI initiatives.

Adastra Corporation

Data Engineer

Thornhill, ON

Adastra is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and AI initiatives. This ...

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires ...

Scotiabank

Data Engineer

Toronto, ON · On-site

Implement DataOps/DevOps best practices including CI/CD pipelines (Jenkins, Cloud Build), automated testing, and infrastructure-as-code using Terraform. * Perform data profiling, quality checks, and ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Data Engineer Resume Due Date: Monday, July 27th, 2026 (5:00PM EST) Number of Vacancies: 2 Level: MP4, $80/hr - $95/hr INC Duration: 11 Months Hours of work: 35 hours Location: 1908 Colonel Sam Drive ...

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

GFL Environmental

Data Engineer

Vaughan, ON

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ideas and grow alongside a dynamic team. About Us GFL is one of the largest diversified environmental ...

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, youwouldplay a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Toronto, ON

Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Toronto, ON? For Data Engineer Data jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Toronto, ON look for? The top searched job categories for Data Engineer Data jobs in Toronto, ON are:
Data Engineer Data jobs near you
Infographic showing various Data Engineer Data job openings in Toronto, ON as of July 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 69% In-person, 18% Hybrid, and 13% Remote job distribution.

Data Engineer

Manulife

Toronto, ON • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Join us at Manulife and be part of a team that strives for excellence, where your efforts will directly contribute to our success. Here, your work will have an important impact, and you'll be empowered to make decisions that improve our marketing strategies and customer experience.

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governanceteamin designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.

Position Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services

  • Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.

  • Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use

  • Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.

  • Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.

  • Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.

  • Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.

Required Qualifications

  • 4 or more years of relevant industry experience as a Data Engineer.

  • Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks.

  • Experience implementing and supporting data governance solutions using Databricks Unity Catalog, including metadata management, data lineage, auditing, fine-grained access controls, data discovery, and secure data sharing across enterprise data environments.

  • Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines.

  • Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) and designing scalable data ecosystems.

  • Strong understanding of data warehousing concepts and relational data modeling.

  • Experience with programming languages such as Python, SQL, Java, and/or Scala.

  • Understanding of Agile Scrum methodologies and experience working within Agile teams.

  • Experience in data processing, performance tuning, monitoring, and capacity planning.

Preferred Qualifications:

  • Excellent communication and interpersonal skills

  • Excellent analytical, problem solving and solutioning skills

  • A capacity for constant learning from both success and failure, remaining open to change and continuous improvement

  • Familiarity with production release and operational support model

When you join our team:

  • We'll empower you to learn and grow the career you want.

  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our distributed team, we'll support you in crafting the future you want to see!

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Waterloo, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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