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Hays

Senior Data Engineer

Toronto, ON, Canada

$75 to $80 CAD / hour · Contract

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Job details

Pay: $75 to $80 CAD / hour
Job type: Contract
Apply by: Nov 4, 2026
Experience: 3+ years of Data Engineering experience with Microsoft Azure technologies.
Posting language: English
Posted: Oct 5, 2026

Original job description

Data Engineer (Azure)

Job Type: Contract

Contract Duration: 6 Months

Pay Rate/Salary: CAD $75-80/hr (Incorporated)

Location: Downtown Toronto, ON (Hybrid - 3 Days Onsite)

What You'll Be Doing

Design, develop, and maintain scalable data pipelines within Azure cloud environments.
Build and optimize ETL/ELT processes using Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake.
Develop data transformation solutions using Mapping Data Flows, T-SQL, PySpark, and Python.
Design and maintain enterprise data warehouse and data storage solutions.
Build and maintain integrations using REST APIs, Azure Function Apps, Logic Apps, and Event Hub.
Support data ingestion, transformation, cleansing, quality validation, and delivery across multiple data platforms.
Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.
Create and maintain technical documentation, standards, and development processes.
Troubleshoot and resolve data-related issues across development, test, UAT, and production environments.
Contribute to cloud data strategy, platform modernization, and continuous improvement initiatives.

What You'll Need to Succeed

3+ years of Data Engineering experience with Microsoft Azure technologies.
Strong hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure SQL Database, Azure Function Apps, Logic Apps, and Event Hub.
Proficiency in T-SQL, Python, and PySpark.
Experience building and supporting enterprise data warehouse solutions.
Strong understanding of data modeling and data warehousing principles.
Experience working with structured, semi-structured, and unstructured data.
Experience developing REST API integrations and data transformation pipelines.
Strong troubleshooting, analytical, and problem-solving skills.
Excellent communication and stakeholder management capabilities.

Nice to Have

Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect Expert, or Fabric Analytics Engineer Associate.
Experience with Microsoft Fabric, Lakehouse, and Warehouse solutions.
Experience with DevOps, CI/CD pipelines, and automated deployment processes.
Experience implementing data quality controls, validation frameworks, and confidence scoring.
Understanding of Medallion Architecture (Bronze, Silver, Gold layers).
Experience working within financial services environments.
Experience with Agile/Waterfall methodologies and tools such as Jira and Confluence.

What You'll Get in Return

You will have the opportunity to work on modern Azure cloud and data transformation initiatives within a collaborative team environment. The role offers exposure to enterprise-scale data platforms, cloud technologies, and the potential to contribute to long-term data modernization programs.

What You Need to Do Now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

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More about this job

Responsibilities

Design, build, and maintain scalable Azure data pipelines, ETL/ELT processes, enterprise data warehouses, and integrations across multiple platforms. Collaborate with stakeholders, document technical standards, troubleshoot data issues, and contribute to cloud modernization and continuous improvement.

Requirements

Requires at least three years of data engineering experience with Azure, hands-on expertise in Azure data services, and proficiency in T-SQL, Python, and PySpark. Candidates should have experience with enterprise data warehousing, data modeling, varied data types, REST API integrations, troubleshooting, and stakeholder communication.

Skills

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL Database
Azure Function Apps
Logic Apps
Event Hub
T-SQL
Python
PySpark
ETL/ELT
Data Warehousing
Data Modeling
REST API Integration
Data Quality Validation
Microsoft Fabric

Visa sponsorship

Not detected in the job text

Keywords

Azure
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL Database
Azure Function Apps
Logic Apps
Event Hub
Microsoft Fabric
Lakehouse
Warehouse
T-SQL
Python
PySpark
ETL/ELT
Data Pipelines
Data Transformation
Enterprise Data Warehouse
Data Modeling
REST APIs
Data Quality
Medallion Architecture
DevOps
CI/CD
Agile
Waterfall
Jira
Confluence
Financial Services
Azure Data Engineer Associate

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