DataOps/Cloud Data Engineer - Senior

2iResourcing; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A data services firm in Toronto is seeking a Senior DataOps/Cloud Data Engineer for a 6-month contract. The role requires strong Python and SQL skills, with responsibilities including developing data pipelines, working with cloud data platforms, and participating in agile product cycles. The candidate must have experience in CI/CD processes and version control using git. Hybrid work is available, transitioning to full onsite by 2026.

Skills

Fluency in Python

Data pipeline development

Cloud data platforms

Database development and management

Agile product development

Version control using git

CI/CD Automation

SQL proficiency

Databricks and Spark SQL

Job description

Overview

Job Title: DataOps/Cloud Data Engineer - Senior

Duration: 6 Months

Location: 222 Jarvis St., Toronto. From October 20, 2025, the candidate is required to work onsite 4 days a week and 1 day from home. From January 5, 2026, the candidate is required to work onsite 5 days a week, fully.

If interested, please share your resume at: [e-mail]

Must Haves

• Demonstrated fluency in Python, with knowledge of its best practices, coding conventions, and application in building robust, scalable data pipelines.
• Experience with Data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and managing the dataflow and movement of data.
• Experience with Cloud data platforms, data management and data exchange tools and technologies.
• Experience with Commercial and open-source data and database development and management and specializing in data storage setting and managing cloud Data As a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DWaaS), and other storage platforms (both in the cloud and on-premise).
• Understanding and working knowledge of iterative product development cycles (Discovery, Agile, Beta, Live)
• Experience contributing to version-controlled, shared codebases using git (Azure DevOps, GitHub, Bitbucket) and participating in pull request code reviews.
• Experience in Continuous Integration/Continuous Development/Deployment (CI/CD) and Data provisioning Automation.
• Proficiency in SQL and Python, with hands-on experience using Databricks and Spark SQL for data modeling and transformation tasks.