We're seeking an experienced Data Engineer to join our client's team on an initial 6-month contract . Based in Markham, ON, you'll play a key role in designing, building, and optimizing contemporary data solutions within a Microsoft Azure cloud environment. Working alongside data architects, analysts, and business stakeholders, you'll help deliver scalable, high-performance data platforms that support reporting, analytics, and business intelligence initiatives.
Strong performance may lead to a contract extension or permanent opportunity.
What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure technologies including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Build and support data ingestion frameworks for structured and unstructured data across Azure Data Lake and cloud-based storage platforms
Develop, optimize, and troubleshoot complex SQL queries, stored procedures, and data transformation logic
Collaborate with business stakeholders, data analysts, and solution architects to gather requirements and deliver robust data solutions
Monitor, maintain, and optimize data pipeline performance, ensuring data quality, reliability, and scalability
Implement and support data governance best practices, including documentation, data lineage, and metadata management
Participate in code reviews and contribute to development standards, automation initiatives, and cloud engineering best practices




Support CI/CD deployment processes and ongoing enhancements to the enterprise data platform
What We're Looking For 3+ years of experience in Data Engineering, Business Intelligence, or a related data-focused role
Hands-on experience developing data pipelines and data integration solutions in Microsoft Azure
Strong working knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake
Advanced SQL skills with experience designing and optimizing complex queries and data models
Proficiency in Python for data processing, automation, and transformation workflows
Experience working with large datasets in data warehouse and lakehouse environments
Strong understanding of data engineering principles, ETL/ELT methodologies, and data architecture best practices
Excellent communication skills with the ability to partner effectively with technical and non-technical stakeholders
Ability to work in a hybrid environment and commute to Markham, ON
Nice to Have Experience with Apache Spark / PySpark for large-scale data processing
Exposure to Azure DevOps , Git, and CI/CD deployment practices
Knowledge of data modeling methodologies including dimensional modeling, star schema, and Data Vault
Experience supporting reporting and analytics solutions using Power BI
Familiarity with Infrastructure-as-Code and cloud automation tools
Microsoft Azure certifications such as Azure Data Engineer Associate (DP-203)

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📌 Intermediate Data Engineer (Ontario)
🏢 Encore Technical Solutions
📍 Ontario