NOTE: HYBRID work model, 3-days on-site in Toronto/week
Type: 9-month contract
Rate: $90-100/hr, 8 hours/day, 40 hours/week
SKILLS: 5+ years Developer, .NET, C#, SSIS, SQL, ETL, Python, GitHub Copilot, Cursor, Azure, Snowflake, migration from on-prem to Azure Cloud, refactoring
DESCRIPTION:
Seeking an experienced Cloud Data platform Engineer to modernize and implement enterprise-grade solutions supporting investment operation post-trade workflows. This role includes a combination of:
(1) Lift-and-shift of existing code base and services to Azure VMs while ensuring and maintaining end-to-end system and operational reliability
(2) Refactoring legacy on-premises systems (primarily .NET) and migrating them to scalable cloud-based infrastructure, while maintaining high standards of code quality, testing discipline, and operational reliability.
(3) The migration and/or replication of data from legacy on-prem databases ( Oracle/SQL Server ) to Snowflake.
The ideal candidate works collaboratively with architects, business analysts, peer developers, DBAs, and testers, and applies AI tools responsibly to accelerate delivery and validation without compromising quality or maintainability.
RESPONSIBILITIES:
Refactor and migrate on-premises services written in .NET and data workloads (including custom C# code and SSIS packages) to Azure cloud infrastructure (IaaS).
Design, build, and maintain cloud-native data pipelines using Python and Airflow where needed.
Analyze datasets in Oracle and SQL Server and prepare scripts for deployment to Snowflake, validating data migration between Oracle/SQL Server and Snowflake to ensure data integrity is maintained.




Implement strong unit testing and quality controls to support protected refactoring.
Contribute to validation and support, observability, and continuous platform improvement throughout the migration.
Promote software engineering best practices including strong documentation, code reviews, and CI/CD.
REQUIREMENTS:
5+ years of experience in data engineering or software engineering roles.
Previous experience in the investment or financial services industry preferred.
Strong proficiency in Python, C# for data engineering and automation
Solid understanding of relational databases such as Oracle and/or SQL Server
Experience with SSIS is a strong asset.
Hands-on experience with Apache Airflow or similar orchestration frameworks.
Hands-on experience with Snowflake
Working knowledge of AKS
Exposure to data replication tools such as HVR is an asset.
Experience working in Azure and/or AWS cloud environments.
Proven experience migrating and r efactoring on-premises systems to cloud infrastructure (IaaS).
Knowledge of Order Management Systems such as Charles River Development (CRD) is a strong asset.
Knowledge of Accounting Books & Records systems such as Simcorp Dimension (SCD) is a strong asset.
Demonstrated ability to create comprehensive unit tests and maintain high code quality.
Experience with CI/CD pipelines, infrastructure-as-code, and DevOps/DataOps practices.
Experience with JIRA, Confluence, Git
Strong collaboration skills with architects, business analysts, DBAs, and QA/test peers.
Ability to work independently and manage priorities with minimal supervision.
NOTE: As part of our hiring process, we use AI-based systems to support initial applicant screening.

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📌 Azure Cloud Data Engineer (1879) (Ontario)
🏢 Direct IT Recruiting
📍 Ontario