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Data Engineer Data Jobs in Ontario (NOW HIRING)

Skills from outside primary skill cluster SQL, PySpark, Python Scripting, Informatica or Collibra, JIRA, Agile, Scrum Must have a minimum of 4 years of experience in data engineering, data management ...

Skills from outside primary skill cluster SQL, PySpark, Python Scripting, Informatica or Collibra, JIRA, Agile, Scrum Must have a minimum of 4+ years of experience in data engineering, data ...

Data Engineer

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

As a Data Engineer at Gore Mutual Insurance, you have a strong technical background in software engineering / computer science, you will play a pivotal role in designing, building, and maintaining ...

As a Data Engineer at Gore Mutual Insurance, you have a strong technical background in software engineering / computer science, you will play a pivotal role in designing, building, and maintaining ...

As a Data Engineer at Gore Mutual Insurance, you have a strong technical background in software engineering / computer science, you will play a pivotal role in designing, building, and maintaining ...

If you have experience in data engineering, and are looking for a new challenge, we would love to hear from you. Zurich Canada is currently looking for a Data Engineer to build, operate, and support ...

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 ...

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 ...

Data Engineer Role Summary We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role will focus on enabling reliable data ingestion ...

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 ...

Data Engineer

Guelph, ON · On-site

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 ...

Data Engineer

Markham, ON · On-site

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 ...

Data Engineer

Kitchener, ON · On-site

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 ...

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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 Ontario? For Data Engineer Data jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Ontario look for? The top searched job categories for Data Engineer Data jobs in Ontario are:
What cities in Ontario are hiring for Data Engineer Data jobs? Cities in Ontario with the most Data Engineer Data job openings:

Senior Data Engineer - Data Products & Modeling

Bridgenext Digital Engineering

Toronto, ON • Hybrid

CA$125K - CA$140K/yr

Other

Posted yesterday


Job description

Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. 

Position Description

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics-ready.  The role owns the full lifecycle of data products from translating business concepts into well-defined data models, to engineering pipelines that deliver curated, reusable, and trusted data products for analytics, reporting, and downstream integration.

The ideal candidate is equally strong in data design, pipeline engineering, and product thinking, with a focus on delivering high-quality data as a product to consumers across the organization.

Responsibilities / Individual Accountabilities:

  • Partner with business stakeholders and analytics teams to define data products that align to business domains, use cases, and outcomes
  • Translate business requirements into well-defined data entities, relationships, and metrics, and engineer data products that implement those models end to end
  • Design and maintain conceptual, logical, and physical data models that underpin scalable and reusable data products
  • Build and optimize batch and near-real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL
  • Engineer curated, analytics-ready data products optimized for BI, reporting, APIs, and OLAP consumption (e.g., Power BI)
  • Create, manage, and evolve data models using ERwin or PowerDesigner, ensuring consistency and alignment across data products
  • Define and maintain data product metadata, including data definitions, lineage, ownership, and quality expectations
  • Perform reverse engineering and model reconciliation to align existing datasets and pipelines with logical models and product intent
  • Apply CI/CD and DevOps practices to data pipelines, schemas, and data products using Azure DevOps, GitHub, or Jenkins
  • Collaborate closely with engineers, architects, analysts, and product teams to ensure data products are discoverable, trusted, and well understood
  • Identify opportunities to standardize, reuse, and evolve data products across domains and initiatives
  • Mentor team members and contribute to enterprise standards for data modeling, engineering, and data product delivery

Workplace: Hybrid ( 2 days in office) role in downtown Toronto.  Open to those interest in FT employment as well as Contractors (initial 6 mos contract with strong potential for extension)

Must Have Skills:

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 8+ years of experience spanning data engineering and data modeling
  • Strong hands-on experience with Databricks on Microsoft Azure or AWS
  • Proven expertise with Erwin and/or PowerDesigner
  • Solid understanding of data warehousing, dimensional modeling, and analytics design patterns
  • Experience delivering data using data product-oriented approaches (curated layers, semantic models, governed datasets)
  • Experience implementing CI/CD and DevOps for data platforms
  • Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences

Professional Skills:

  • Strong team and individual player
  • Maintains composure during all types of situations and is collaborative by nature
  • High standards of professionalism, consistently producing high quality results
  • Self-sufficient, independent requiring very little supervision or intervention
  • Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $125,000 - $140,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary. 

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Employment Type: OTHER