Jobs in Canada

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Added 1 day ago
RC
Senior DataOps/Cloud Data Engineer
Randstad Canada
Toronto, ON
- Contract
Assignment Type: Onsite (5 days per week)
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Senior AI Engineer
AXIS
Halifax, NS
- Full-time
The Senior AI Platform Engineer will help AXIS deliver secure, reliable, and reusable AI capabilities that support business teams across underwriting, claims, operations, and other…
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Sr Engineer, Infrastructure and Tooling
hireVouch
Toronto, ON
- Hybrid
The Senior Developer Operations is a key contributor responsible for delivering high-quality, scalable software across the frontend and backend. This role involves building performant UIs,…
Added 1 day ago
C
AI Automation Engineer (Data Products)
CGI
Montréal, QC
- Full-time
CGI Montréal is hiring a Senior AI/Automation Engineer to industrialize how data products are designed, built, and operated for clients in the manufacturing sector. You will apply and…
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C
Lead AI Platform Specialist
CGI
Montréal, QC
- Full-time
…with responsibility for architecture decisions, integrations, security, performance, cost management and…
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MC
Technical Consultant II (Software Engineer, Intermediate)
Myticas Consulting
BC
- Full-time
Develop and enhance backend, frontend, API, integration, reporting, automation, and data-processing components as required.
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MC
Cloud Platform Engineer – Kubernetes
Myticas Consulting
Toronto, ON
- Contract
Required Qualifications – Must Have · Location Requirement: Candidates must be based in the Greater Toronto Area (GTA).
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MC
Network Engineer
Myticas Consulting
Ottawa, ON
- Full-time
Experience with network automation and scripting using Python, Ansible, or similar tools.
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Cybersecurity Engineer - Detection Engineer
Lululemon
Toronto, ON
- $112,200 to $147,200 CAD / year
- Full-time
…and by maintain a high degree of employee awareness of all security and compliance topics. To further enhance our team, we are looking for a Cyber Detection & Automation…
Added 1 day ago
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Application Developer – Sr Python Engineer
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for an Application Developer – Sr Python Engineer. This position involves designing, developing, and maintaining scalable,…
Added 1 day ago
B
Sr. Security Specialist - GRC/Banking/CISSP
BeachHead
Toronto, ON
- Contract
Are you an experienced Security Specialist looking to make an impact? Apply Now!
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Data Architect
World Vision Canada
Mississauga, ON
Develops and presents the data architecture for senior leadership approval. Prepares and presents the data architecture, its roadmap and material design decisions to senior leadership for…
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Senior DataOps/Cloud Data Engineer
modis
Toronto, ON
- Contract
- Temporary
Experience with scripting and automation using Python, Scala, and Unix Shell Scripting.
Added 1 day ago
RC
Senior DataOps/Cloud Data Engineer
Randstad Canada
Toronto, ON
- Contract
Dedicated Onsite Synergy: Collaborate directly alongside senior data leads, architects, and engineers in a focused 5-day per week Toronto workspace
Added 1 day ago
RS
Senior Analytics Engineer, Tableau
ResMed SaaS Holdings Inc.
Halifax, NS
- $133,000 to $166,000 USD / year
- Full-time
Your expertise in Tableau architecture, performance tuning, and Python-based automation will help transform complex data infrastructure into efficient, secure, and high-performing analytics…
Added 1 day ago
GE
Senior Protection Element Embedded SW Developer
GEPR Energy Canada Inc
Markham, ON
- Full-time
Cybersecurity Integration: Implement secure coding practices and security features within the firmware architecture in compliance with IEC 62443.
Added 1 day ago
RQ06594: FFS x1 Senior Solution Designer - CRM
Rubicon Path
Toronto, ON
This role is part of a Hybrid Work Arrangement and resource(s) will be required to work a minimum of 2-3 days per week at 5700 Yonge St
Added 1 day ago
RQ08858 - DevOPS/Cloud Engineer - Senior
Rubicon Path
Toronto, ON
Deployment and automation of packages for cloud-based systems like Pipeline Setup as well as design and implement CI/CD pipelines for applications running on AWS, including databases like…
Added 1 day ago
RQ08913 - Software Developer - ETL - Senior
Rubicon Path
Toronto, ON
· Strong understanding of cloud security, RBAC, and data governance.
Added 1 day ago
RQ08919 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
· Test results reports, including performance and security testing results, for use in Defect Reviews with clients, partners and project team
Added 1 day ago
RQ08685 - DevOPS/Cloud Engineer - Senior
Rubicon Path
Toronto, ON
- Please note this role is part of a Hybrid Work Arrangement and resource(s) will be required to work at a minimum of 2 days per week at 5700 Yonge St
Added 1 day ago
RQ08713 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
Use automation tools and frameworks such as Selenium, Appium, Katalon or similar to create robust and reusable test scripts.
Added 1 day ago
RQ09019 - Technology Architect - Senior
Rubicon Path
Toronto, ON
· Infrastructure Automation Work closely with the Infrastructure Automation team to streamline firewall and network security operations using modern tools.
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RQ08343 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
· Utilizes test automation frameworks/tools that supports PHP and JavaScript, Python
Added 1 day ago
RQ08833 - Technology Architect - Senior
Rubicon Path
Toronto, ON
Must haves:Proficiency in designing and implementing cloud solutions, particularly with platforms like Azure and AWS

Randstad Canada

Senior DataOps/Cloud Data Engineer

Toronto, ON, Canada

Contract

Apply on randstad.ca About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 18, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

We are seeking a highly accomplished Senior DataOps/Cloud Data Engineer for an enterprise-level contract opportunity based in Toronto. In this role, you will take on a premier data pipeline engineering, cloud data platform architecture, and DataOps automation capacity, specializing in designing, building, and optimizing enterprise-grade data lakes, data lakehouses, and continuous integration workflows.

As a Senior DataOps/Cloud Data Engineer, you will bridge the gap between complex source systems, cloud data platforms, metadata governance frameworks, and downstream analytics consumers. Operating fully onsite in Toronto, you will lead the end-to-end implementation of scalable ETL/ELT pipelines, operationalize Medallion Architectures, automate data provisioning, and implement DataOps practices using Databricks, Delta Lake, and Azure Data Services. This position demands a technical data authority with extensive experience across cloud platforms, data modeling, API integrations, and database technologies who can ensure high-performance, secure, and reliable data delivery.

Location: Toronto, ON

Assignment Type: Onsite (5 days per week)

Contract Duration: 12-month contract (with potential for extension)

Advantages
Modern Cloud Data Stack: Build data pipelines using Databricks, Delta Lake, Databricks SQL, Azure Data Factory, and Microsoft Fabric.

Medallion Architecture Leadership: Operationalize structured, semi-structured, and unstructured data across Bronze, Silver, and Gold data lakehouse layers.

Automated DataOps & CI/CD: Drive deployment automation, automated data testing, continuous integration pipelines, and metadata collection.

Enterprise Modernization Impact: Lead large-scale data migrations, cloud transformations, and integration platforms like Informatica to operationalize common data models.

Responsibilities
Design, develop, automate, and optimize end-to-end data pipelines and integration flows connecting diverse source systems to enterprise data platforms.

Implement and configure modern cloud data platform components, data lakehouses, and Medallion Architecture frameworks utilizing Databricks and Delta Lake.

Build scalable ETL/ELT data ingestion, processing, and transformation workflows using Azure Data Factory and Informatica integration platforms.

Implement DataOps practices, including deployment automation, automated testing, performance monitoring, and continuous integration/continuous deployment (CI/CD) pipelines.

Operationalize common data models, enterprise metadata repositories, data lineage tracing, and automated metadata collection processes.

Perform data pipeline tuning, database optimization, and performance benchmarking across cloud Data as a Service (DaaS) and Data Warehouse as a Service (DWaaS) environments.

Support data migration, transformation, and conversion of large-scale OLAP and OLTP datasets to cloud platforms.

Collaborate with data architects, data modelers, and governance teams to enforce data security, access controls, privacy, and operational standards.

Troubleshoot complex data flow errors, pipeline bottlenecks, and platform integration issues to maintain service availability.

Maintain comprehensive technical documentation, data mapping specifications, architectural diagrams, and operational runbooks.

Qualifications
Core Technical & Data Engineering Requirements
Databricks & Lakehouse Architecture: Hands-on experience with Databricks, Delta Lake, Databricks SQL, and practical implementation of Medallion Architecture principles.

Azure Data Ecosystem: Direct experience building data solutions using Azure Data Services, Azure Data Factory, and cloud storage infrastructure.

Integration & Metadata Platforms: Proven experience with Informatica (or equivalent enterprise integration platforms) and experience operationalizing common data models and metadata repositories.

DataOps & CI/CD Automation: Strong experience implementing DataOps practices, test automation, data quality frameworks, and CI/CD deployment pipelines.

ETL/ELT & Data Modeling: Solid track record designing, building, and supporting scalable data pipelines, data warehouses, data lakes, and dimensional/fact models.

Programming & Query Languages: Proficiency in data engineering languages and tools (e.g., Python, SQL, Scala, PowerShell) for automation, scripting, and pipeline development.

Preferred Assets & Specialized Technologies
Modern Governance & Fabric Tools: Experience or familiarity with Microsoft Purview, Microsoft Fabric, or semantic/graph data repositories is a strong asset.

Public Sector Context: Prior experience delivering data platform engineering solutions within public sector environments is considered an asset.

Soft Skills & Delivery Attributes
Analytical Problem Solving: Superior diagnostic capabilities to troubleshoot complex data flows, performance bottlenecks, and system integration errors under tight timelines.

Communication & Collaboration: Excellent written and verbal communication skills with a proven track record of collaborating effectively across multidisciplinary teams.

Summary
If you're interested in the "Senior DataOps/Cloud Data Engineer" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.

Apply on randstad.ca About employer

More about this job

Responsibilities

The Senior DataOps/Cloud Data Engineer at Randstad Canada will design and automate data pipelines that connect source systems to enterprise data platforms. The role also implements cloud lakehouse layers, automates testing and deployment, and troubleshoots data flow problems.

Requirements

Candidates need hands-on Databricks, Delta Lake and Azure Data Factory experience, plus practical knowledge of Medallion Architecture and DataOps and CI/CD practices. Strong Python or SQL skills and experience with integration platforms such as Informatica are also needed.

Skills

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Factory
Azure Data Services
Microsoft Fabric
Microsoft Purview
Informatica
DataOps
CI/CD
Automated testing
ETL
ELT
Data modeling
Dimensional modeling
Data warehousing
Data lake
Data lakehouse
Python
SQL
Scala
PowerShell
API integration
Metadata management

Keywords

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Factory
Azure Data Services
Microsoft Fabric
Microsoft Purview
Informatica
DataOps
CI/CD
ETL
ELT
data lakehouse
data lake
data pipeline
data modeling
Python
SQL
Scala

Seniority

Senior

Tools

Databricks
Delta Lake
Azure Data Factory
Informatica
Microsoft Fabric
Microsoft Purview

Languages

English

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Work requirements

Jobs in Canada