Find work in Canada.

485,587 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 22 hours ago
IU
Backend Python AI Engineer
iTech US Inc
Canada
- Contract
We are looking for a hands-on Python AI Engineer to build and enhance an enterprise knowledge platform evolving from traditional RAG-based chatbots toward advanced, agent-driven knowledge…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SL
Data Engineer – Banking / Financial Domain
Staffingine LLC
Toronto, ON
- Contract
Job Title: Data Engineer – Banking / Financial Domain
Added 1 day ago
A
AI Cloud Data Engineer
Altera
Toronto, ON
- Full-time
Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into…
Added 1 day ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
Define and execute testing strategies, including unit, integration, performance, data quality, and automated regression testing.
Added 2 days ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Full-time
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
Added 2 days ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal…
Added 2 days ago
V
Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
The SDET (Software Development Engineer in Test) is responsible for ensuring the quality
Added 2 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 2 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
…who can go beyond implementing predefined requirements: an engineer who can identify problems, propose sound technical solutions, make informed implementation decisions, and deliver…
Added 2 days ago
P
Software Engineer
ProxyLink
Toronto, ON
- Contract
…and improving development and deployment processes through automation and continuous…
Added 2 days ago
J
Senior DataOps / Cloud Data Engineer
Joblinxsapp
Toronto, ON
- Full-time
…technical stakeholders to deliver cloud data modernization, data quality, lineage, integration, and automation…
Added 3 days ago
T
AWS Data Engineer
TechDoQuest
Canada
- Contract
Built and maintained ETL/ELT pipelines using AWS Glue, PySpark, and AWS Lambda.
Added 3 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 3 days ago
CG
Data Lead (Canada)
CSC Generation
Toronto, ON
- Full-time
…with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand…
Added 3 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Implement ETL/ELT processes, workflow orchestration, deployment automation, and data provisioning.
Added 3 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 3 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 3 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 3 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
…Integration Cluster, is seeking a Senior DataOps/Cloud Data Engineer to join their team in Toronto. The successful candidate will design, implement, and support cloud-based data platforms,…
Added 3 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Strong knowledge of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.
Added 3 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Python / PySpark - ETL/ELT pipelines, large-scale data processing, data validation, and automation

Joblinxsapp

Senior DataOps / Cloud Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

Senior DataOps / Cloud Data Engineer
Assignment Number: A2928568
Client: Government Services Integration Cluster (GSIC), Government of Ontario
Ministry: Ministry of Public and Business Service Delivery and Procurement
Location: 595 Bay Street, Toronto, Ontario
Work Arrangement: 100% Onsite – 5 days per week
Contract Start Date: September 21, 2026
Contract End Date: October 1, 2027
Extension: One possible extension
Openings: 1
Submission Limit: One candidate only
Security Clearance: No clearance required
Position Overview
The Government Services Integration Cluster (GSIC) is seeking an experienced Senior DataOps / Cloud Data Engineer to design, develop, implement, and support enterprise-scale cloud data platforms and integration services. The successful candidate will build scalable data pipelines, optimize data processing, automate metadata management, and enable secure, reliable data exchange across cloud and enterprise environments.
The ideal candidate will bring hands-on expertise in Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure Data Services, Azure Data Factory, and Informatica or equivalent integration platforms. Experience operationalizing common data models and metadata repositories is essential.
The resource will collaborate with architects, data modellers, governance teams, and technical stakeholders to deliver cloud data modernization, data quality, lineage, integration, and automation solutions.
Key Responsibilities

Design, develop, implement, and maintain scalable end-to-end data pipelines from source systems to downstream consumers.
Build and optimize ETL/ELT processes for batch and streaming data integration, ingestion, transformation, and provisioning.
Implement cloud-native data engineering solutions using Databricks, Delta Lake, Databricks SQL, and Azure data services.
Apply Medallion Architecture principles to organize, transform, validate, and manage enterprise data.
Develop and maintain integration workflows using Azure Data Factory, Informatica, or equivalent enterprise integration platforms.
Operationalize common data models and metadata repositories, ensuring consistent data definitions, standards, and integration across enterprise systems.
Design and implement automated metadata collection, synchronization, lineage tracking, and data quality processes.
Implement DataOps practices, including CI/CD, automated testing, deployment automation, monitoring, and operational support.
Support cloud data platform implementation, configuration, performance tuning, scalability, and reliability.
Develop and manage data lake, data lakehouse, data warehouse, and cloud storage solutions.
Support large-scale data migration and modernization initiatives involving OLTP and OLAP environments and cloud SaaS, PaaS, and IaaS platforms.
Develop data integration solutions using APIs, event-driven architectures, and batch or streaming technologies.
Implement data governance, security, metadata management, and operational best practices.
Support interoperability and data exchange between cloud platforms, enterprise applications, and on-premises systems.
Collaborate with solution architects, data modellers, governance specialists, and business stakeholders to operationalize enterprise data standards.
Troubleshoot complex data engineering and platform issues and deliver practical, scalable solutions.
Document technical designs, data mappings, workflows, deployment processes, and operational procedures.
Meet project milestones and deadlines while adapting to changing business and technical priorities.

Requirements

Mandatory Skills and Experience
Candidates must demonstrate hands-on experience in the following areas.
1. Databricks, Delta Lake and Databricks SQL

Experience designing, developing, and supporting data engineering solutions using Databricks.
Practical experience with Delta Lake for reliable data storage, transformation, and management.
Experience using Databricks SQL for querying, processing, and working with enterprise data.
Ability to develop and optimize scalable data pipelines within modern cloud data platforms.

2. Medallion Architecture

Knowledge and practical application of Medallion Architecture for organizing data processing and storage.
Understanding of layered data architecture, including Bronze, Silver, and Gold data layers.
Ability to implement data ingestion, cleansing, transformation, validation, and curated data delivery processes.

3. Azure Data Services and Azure Data Factory

Hands-on experience with Microsoft Azure Data Services and Azure Data Factory (ADF).
Experience developing, orchestrating, monitoring, and maintaining data integration pipelines.
Knowledge of cloud data storage, data movement, transformation, scheduling, and workflow automation.
Experience integrating cloud data services with enterprise applications and data platforms.

4. Informatica or Equivalent Integration Platforms

Experience with Informatica or an equivalent enterprise data integration platform.
Ability to develop and maintain integration workflows for data ingestion, transformation, synchronization, and provisioning.
Experience integrating heterogeneous data sources and supporting enterprise data exchange requirements.

5. Common Data Models and Metadata Repositories

Experience operationalizing common data models and metadata repositories within enterprise data environments.
Ability to implement and maintain standardized data definitions, metadata structures, and data mappings.
Experience automating metadata collection, synchronization, and integration with data platforms and governance processes.
Ability to collaborate with data architects, modellers, and governance teams to implement and maintain enterprise data standards.

6. Cloud Data Engineering and DataOps

Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services.
Experience developing scalable ETL/ELT processes, data pipelines, and integration solutions.
Experience implementing DataOps practices, including CI/CD, deployment automation, automated testing, monitoring, and operational support.
Knowledge of cloud-native data engineering architectures, data security, governance, and operational best practices.
Experience with data platform performance optimization, troubleshooting, and scalability.

7. Data Migration, Integration and Quality

Experience supporting cloud modernization, data migration, and interoperability initiatives.
Knowledge of structured, semi-structured, and unstructured data ingestion, processing, and provisioning.
Experience implementing data quality, metadata, lineage, and data governance capabilities.
Knowledge of API-based integration, event-driven architectures, and batch or streaming data processing.

8. Professional and Communication Skills

Strong analytical, problem-solving, and decision-making abilities.
Excellent written and verbal communication skills.
Strong organizational and interpersonal skills.
Ability to work collaboratively with multidisciplinary technical and business teams.
Demonstrated ability to manage competing priorities, meet tight deadlines, and deliver high-quality solutions.

Desirable Skills and Experience
The following qualifications are considered assets:

Previous experience working with the Ontario Public Service (OPS), other provincial governments, or public-sector organizations.
Experience with Microsoft Purview for metadata management, data cataloguing, lineage, and governance.
Experience with Microsoft Fabric and related Azure data services.
Experience with Databricks Lakehouse solutions and advanced Delta Lake capabilities.
Experience implementing enterprise data lakes, data lakehouses, and data warehouses.
Experience with Informatica or other enterprise integration and data management platforms.
Experience with graph technologies and semantic repositories.
Experience operationalizing enterprise metadata repositories and common data models.
Knowledge of the Accessibility for Ontarians with Disabilities Act (AODA) and related accessibility standards.
Ability to adapt quickly to changing project requirements and delivery priorities.

Key Deliverables
The successful candidate will be responsible for delivering:

Data Pipelines and Integration Services: Scalable, reliable data ingestion, transformation, orchestration, and integration solutions.

Automated Metadata Management: Automated metadata collection, synchronization, and repository integration processes.

Cloud Data Platform Implementation: Configuration and implementation of cloud data services and modern data platform components.

Data Quality and Lineage: Capabilities supporting data validation, quality management, traceability, and lineage.

CI/CD and DataOps Automation: Automated deployment, testing, monitoring, and operational processes.

Data Migration and Interoperability: Services supporting cloud modernization, enterprise data migration, and cross-platform data exchange.

Cloud-Hosted Data Products: Reusable data services, curated datasets, and data products for enterprise consumption.

Metadata and Governance Integrations: Integration of metadata repositories, common data models, and governance platforms into operational data environments.

Ideal Candidate Profile
The ideal candidate is a senior-level cloud data engineering professional with strong hands-on implementation experience across Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure Data Factory, and Informatica or equivalent integration technologies. The candidate must also demonstrate practical experience operationalizing common data models and metadata repositories.
Candidates with additional experience in Microsoft Purview, Microsoft Fabric, enterprise data governance, and Ontario public-sector projects will be particularly attractive.

Apply About employer

More about this job

Responsibilities

Design, build, and support scalable cloud data platforms, pipelines, and integration services using Databricks, Azure services, and enterprise integration tools. Automate metadata management, data quality, lineage, CI/CD, and operational processes while supporting data migration, governance, interoperability, and enterprise data standards.

Requirements

Candidates need hands-on experience with Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure Data Factory, and Informatica or an equivalent integration platform. They must also have experience operationalizing common data models and metadata repositories, implementing cloud DataOps and data integration solutions, and collaborating effectively with technical and business teams.

Skills

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Services
Azure Data Factory
Informatica
Cloud Data Engineering
DataOps
ETL/ELT
Common Data Models
Metadata Repositories
CI/CD
Data Migration
Data Quality
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Services
Azure Data Factory
Informatica
Microsoft Purview
Microsoft Fabric
Cloud Data Platforms
DataOps
ETL/ELT
Data Pipelines
Metadata Management
Metadata Repositories
Common Data Models
Data Governance
Data Quality
Data Lineage
CI/CD
Automated Testing
Data Migration
Data Lakehouse
Data Warehouse
API Integration
Event-Driven Architecture
Batch Processing
Streaming Data
OLTP
OLAP

Report this job