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Azure Data Factory Jobs in Ontario (NOW HIRING)

Develop and optimize ETL/ELT pipelines using modern data integration solutions like Azure Data Factory to integrate complex data sources, ensuring accuracy, reliability, and performance. * Ensure ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Guelph, ON

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Monitor and support live data pipelines and data platform components Troubleshoot failed jobs, incidents and data-related issues Support ETL/ELT processes using Azure Data Factory, Synapse Analytics ...

Data Engineer

Kitchener, ON

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

PySpark on Azure Data Factory, Azure Databricks, ADLS, and Delta Lake. * Own the reliability of your pipelines - troubleshoot issues, tune performance, * and keep data flowing accurately into curated ...

Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management ...

Support cloud and hybrid data platforms including Azure Data Factory pipelines and Power BI Report Server, handling deployments and troubleshooting. * Ensure compliance with data governance and ...

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power Bl Work within the agile SCRUM work ...

Strong hands-on experience with Azure cloud data services, including Azure Data Lake Storage , azure data factory, and related cloud-native data platform components. * Strong experience with ...

Additional skills in Azure Data Factory, Databricks, SaaS/platform devleopment, or distributed data processing are a plus. Solid understanding of cloud cost optimization strategies and tools.

Showing results 21-40

Azure Data Factory information

See Ontario salary details

$10

$59

$84

How much do azure data factory jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for azure data factory in Ontario is $59.18, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $73.32 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are popular job titles related to Azure Data Factory jobs in Ontario?

For Azure Data Factory jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory jobs in Ontario look for?

The top searched job categories for Azure Data Factory jobs in Ontario are:

Infographic showing various Azure Data Factory job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,089 per year, or $59.2 per hour.

Fabric Platform Engineer

Alquemy

Toronto, ON • Hybrid

Contractor

Re-posted 7 days ago


Job description

Job Description Microsoft Fabric Platform Engineer 6-Month Contract | Hybrid GTA We are seeking a hands-on Microsoft Fabric Platform Engineer to support enterprise modernization and migration initiatives within a large-scale Microsoft data ecosystem. This role combines platform engineering and hands-on data engineering responsibilities, with a focus on modernizing and operationalizing enterprise data platforms. Responsibilities: Build and support enterprise data pipelines and integrations across Microsoft Azure data platforms Support migration and modernization initiatives involving Fabric, Synapse, ADF, and ADLS Develop scalable and reusable platform patterns and frameworks Support enterprise data movement and integration across business systems Collaborate with engineering teams on platform modernization initiatives Help operationalize scalable Microsoft data platform environments Requirements: 3-5+ years of hands-on experience within the Microsoft Azure data ecosystem Microsoft Fabric OR Synapse Azure Data Factory (ADF) Enterprise data pipelines/integrations Experience working in enterprise cloud/data platform environments Apply Today!.