Jobs in Canada

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Added 20 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Maintain technical documentation to support system sustainability, reproducibility, and knowledge transfer.
Added 20 days ago
PC
Senior Cloud Platform Lead, Senior Manager
PwC Canada
Ottawa, ON
- Full-time
We are seeking a highly experienced Senior Cloud Platform Developer to join our team. The ideal candidate will have extensive experience with Kubernetes and managed cloud-based Kubernetes…
Added 20 days ago
T
Manager - Stress Testing Data, Controls and Analytics
TD
Toronto, ON
- Full-time
…combines stress testing subject-matter expertise, data management, technical analysis, control design, regulatory reporting and cross-functional delivery. The successful candidate will…
Added 20 days ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
…maintainable infrastructure across multiple cloud providers (AWS, GCP,…
Added 20 days ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
…unified, governed, secure, and AI-ready data estates on Microsoft Azure. In this customer-facing role, you’ll work with customers to design and deliver data platform, analytics, and…
Added 20 days ago
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Business Analyst
ProxyLink
Toronto, ON
- $70 to $80 CAD / hour
- Contract
Work Arrangement: Onsite, five days per week, Monday to Friday, during standard business hours (8:00 a.m
Added 20 days ago
P
Java Software Engineer
ProxyLink
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Work Arrangement: Onsite, five days per week, Monday to Friday
Added 20 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Work Arrangement: Onsite, five days per week, Monday to Friday
Added 20 days ago
S
Staff Software Engineer, Deployment Platform
Stripe
Canada
- Full-time
Set the technical bar. Own critical design reviews, establish standards for deployment safety and developer experience, mentor senior engineers through high-stakes architectural decisions,…
Added 20 days ago
LI
Full Stack Software Developer (Java/React)
Lotus IT Solutions
Toronto, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement is seeking a Senior Full Stack Software Developer to join the Government Services Integration Cluster in Toronto. This…
Added 20 days ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11667 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11667 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11667 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11719 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11719 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11719 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11658 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Must have the following technical skills:
Added 20 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ00789 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Hours: 7.25 hours per day, 5 days per week
Added 20 days ago
SM
RQ11651 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11721 – Software Developer – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite – 5 days per week
Added 20 days ago
SM
RQ00789 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Hours: 7.25 hours per day, 5 days per week

ProxyLink

DataOps/Cloud Data Engineer

Toronto, ON, Canada

$95 to $100 CAD / hour · Contract

Apply on LinkedIn About employer

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Job details

Pay: $95 to $100 CAD / hour
Job type: Contract
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

About ProxyLink

At ProxyLink, we specialize in building meaningful connections between exceptional talent and leading employers across Canada. As a trusted recruitment partner, our mission is to create impactful career matches by combining innovative hiring strategies with a personalized, people-first approach. We’re driven by the belief that investing in people today builds a stronger workforce for tomorrow.

ProxyLink is working with a client hiring for an experienced Data Engineer to design, develop, implement, and optimize cloud-based data platforms, data pipelines, and integration solutions.

The ideal candidate will have strong hands-on experience with modern data engineering technologies, cloud data services, ETL/ELT processes, data migration, and DataOps practices.

This role will focus on building scalable and secure data solutions, automating data workflows, improving data quality, and enabling efficient data exchange across enterprise platforms.

Work Arrangement: Onsite, five days per week, Monday to Friday.

Key Responsibilities

Design, develop, and maintain scalable data pipelines from source systems to end users.
Optimize data pipelines for performance, reliability, scalability, and cost efficiency.
Develop and support cloud-based data platforms, integration services, and reusable data solutions.
Implement ETL/ELT processes, workflow orchestration, deployment automation, and data provisioning.
Support cloud data platform implementation, configuration, and operational maintenance.
Design and implement data warehouses, data lakes, and data lakehouses.
Develop and maintain data models, including fact and dimension models, data mappings, and common data models.
Support the collection, ingestion, transformation, synchronization, and exchange of structured, semi-structured, and unstructured data.
Implement automated metadata collection, synchronization, data lineage, and data quality processes.
Apply DataOps principles and practices to improve development, deployment, testing, monitoring, and operational support.
Develop and maintain CI/CD pipelines and automated data provisioning processes.
Support large-scale data migration and modernization initiatives involving OLTP and OLAP environments and cloud-based platforms.
Develop integration solutions using APIs, event-driven architectures, batch processing, and streaming technologies.
Implement data governance, security, metadata management, and operational best practices.
Collaborate with architects, data modelers, and governance teams to implement data standards and enterprise data models.
Monitor, troubleshoot, and resolve complex technical issues affecting data pipelines and cloud data services.
Identify opportunities to automate data movement, metadata management, and operational workflows.

Required Skills and Experience

Cloud Data Engineering & Platform Development

Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services.
Experience developing scalable ETL/ELT processes, data pipelines, and data integration solutions.
Strong understanding of cloud-native data engineering and modern data platform architectures.
Experience managing cloud data services, including storage, repositories, data lakes, data lakehouses, key vaults, virtual machines, and disks.
Experience supporting cloud modernization and data migration initiatives.
Knowledge of data storage, cloud data services, and enterprise data management technologies.

DataOps, Automation & CI/CD

Experience implementing DataOps practices, including automated deployment, testing, monitoring, and operational support.
Hands-on experience with Continuous Integration and Continuous Delivery/Deployment (CI/CD).
Experience automating data provisioning, metadata collection, data movement, and workflow orchestration.
Knowledge of Agile development and deployment methodologies.
Experience with DataOps performance monitoring, troubleshooting, and tuning.

Data Architecture, Modeling & Integration

Experience designing and implementing enterprise data warehouses, data lakes, and data lakehouses.
Knowledge of fact and dimension modeling, data mapping, and common data models.
Experience integrating structured, semi-structured, and unstructured data sources.
Experience with APIs, event-driven architectures, batch processing, and streaming technologies.
Knowledge of metadata management, data lineage, data quality, and data governance.
Experience operationalizing metadata repositories and enterprise data standards.
Understanding of data interoperability, data exchange, and reusable data services.

Data Migration, Security & Performance

Experience supporting large-scale data migration and conversion initiatives across OLTP and OLAP environments.
Knowledge of cloud service models, including SaaS, PaaS, and IaaS.
Experience implementing data security, governance, and access management practices.
Strong understanding of cloud data platform performance optimization, scalability, and reliability.
Ability to troubleshoot complex technical issues and develop practical, sustainable solutions.

Communication & Collaboration

Excellent analytical, problem-solving, and decision-making skills.
Strong written and verbal communication and presentation skills.
Effective interpersonal, collaboration, and negotiation skills.
Ability to work effectively with cross-functional technical teams.
Strong organizational skills and a demonstrated ability to meet deadlines and adapt to changing priorities.

Technical Environment

Candidates should have experience with the following technologies and capabilities:

Databricks
Delta Lake
Databricks SQL
Microsoft Azure Data Services
Azure Data Factory
Informatica or equivalent data integration platforms
Common data models and metadata repositories
Cloud data warehouses, data lakes, and data lakehouses
CI/CD and DataOps automation

Must-Have Qualifications

Hands-on experience with Databricks, Delta Lake, and Databricks SQL.
Knowledge of Medallion Architecture.
Experience with Azure Data Services and Azure Data Factory.
Experience with Informatica or equivalent integration platforms.
Experience operationalizing common data models and metadata repositories.

Expected Deliverables

Developed and optimized data pipelines and integration services.
Automated metadata collection and synchronization processes.
Implemented and configured cloud data platforms.
Enabled data quality, metadata management, and data lineage capabilities.
Implemented CI/CD and DataOps automation.
Delivered data migration and interoperability solutions.
Developed cloud-hosted data products and reusable data services.
Integrated metadata and data governance platforms.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and optimize secure, scalable cloud data platforms, pipelines, integration services, and data products, including data warehouses, lakes, and lakehouses. Automate DataOps, CI/CD, metadata, data quality, and governance processes while supporting migrations, interoperability, monitoring, and troubleshooting.

Requirements

Candidates need hands-on experience with Databricks, Delta Lake, Databricks SQL, Azure Data Services, Azure Data Factory, and Informatica or an equivalent integration platform. They should also have experience with DataOps and CI/CD, cloud data architecture, data modeling and governance, metadata repositories, data migration, and strong collaboration and problem-solving skills.

Skills

Databricks
Delta Lake
Databricks SQL
Microsoft Azure Data Services
Azure Data Factory
Informatica
ETL/ELT
DataOps
CI/CD
Data Pipeline Development
Data Migration
Data Modeling
Metadata Management
Data Governance
Cloud Data Architecture
Data Integration

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Databricks SQL
Microsoft Azure Data Services
Azure Data Factory
Informatica
ETL/ELT
DataOps
CI/CD
Medallion Architecture
Cloud Data Platforms
Data Pipelines
Data Warehouses
Data Lakes
Data Lakehouses
Fact And Dimension Modeling
Common Data Models
Metadata Repositories
Data Lineage
Data Quality
Data Governance
Data Migration
OLTP
OLAP
APIs
Event-Driven Architecture
Batch Processing
Streaming
Workflow Orchestration
Cloud Security

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Jobs in Canada