Jobs in Canada

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Added 23 days ago
IS
Sr DevOps Engineer
Iris Software Inc.
Toronto, ON
- Contract
Build automation tools and platform services using Python to improve operational efficiency.
Added 23 days ago
IC
Automation Test Engineer
Infomatics Corp
Ottawa, ON
- Contract
We are seeking a highly motivated and skilled Automation Test Engineer to join our dynamic team. The ideal candidate will be responsible for developing, implementing, and maintaining…
Added 23 days ago
B
Senior AI Engineer for Observability
BMO
Toronto, ON · BMOPLACE
- Full-time
Highly proficient in automation, monitoring, observability, buildouts, AI engineering, understand model architectures, evaluation metrics, token usage, and how to spot concept or data drift
Added 23 days ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
AWS Data Engineer – Banking / Financial Services
Added 23 days ago
HH
Radio Frequency Engineer
Humani HR
Brantford, ON
- Full-time
Must hold or be able to obtain the required Controlled Goods certification
Added 23 days ago
Lead Network Engineer
Take-Two Interactive Software, Inc.
Toronto, ON
We are looking for a Lead Network Engineer to help shift our global network away from a traditional perimeter model toward a modern Zero Trust Architecture (ZTA) and Infrastructure as Code…
Added 23 days ago
PS
Copilot Automation Engineer
Pi Square Technologies
Montreal, QC
- Full-time
We are seeking a Microsoft Copilot Automation Engineer with 3-5 years of experience in automation, software development, data engineering, or analytics. The ideal candidate will be…
Added 23 days ago
B
DevOps/SRE
BMO
Toronto, ON · SCC
- Full-time
Hybrid work model: Minimum 3 days per week in-office
Added 23 days ago
X
Software Engineer
XTronica
Burnaby, BC
- Full-time
Xtronica is dedicated to provide automation and instrumentation solution for marine and offshore oil & gas industry.
Added 23 days ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Contract
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 23 days ago
C
AI Lead Engineer, Technical Lead - Services AI Platform
Citi
Mississauga, ON
- Full-time
Citi is hiring an AI Lead Engineer, Technical Lead to build and shape the engineering foundation of its Services AI Platform, a multi-tenant, production-grade ecosystem where agentic AI…
Added 23 days ago
DC
Senior Hardware Verification Engineer
Delta Controls
Surrey, BC
- Full-time
Work Location: In-office 5 days per week
Added 23 days ago
FT
Lead Software Engineer
Foreseeson Technology
Richmond, BC
- Full-time
Location: Richmond, BC (Hybrid Schedule, 2 days in office)
Added 23 days ago
P
Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
…expected performance, and tunes setpoints within the operator's automation and safety limits, or flags the well for human review. It has delivered up to 30% more production on…
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Added 23 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Added 23 days ago
C
Ingénieur(e) applications GenAI / agentiques et DevSecOps
CGI
Montreal, QC
- Full-time
Design, develop and deploy generative AI and agentic applications (assistants, RAG, multi-agent workflows and process automation) aligned with clients’ business needs, in accordance with…
Added 23 days ago
TE
Cloud Operations Lead
THE EMPIRE LIFE INS. CO
Kingston, ON · Toronto, ON
- $92,960 to $142,960 CAD / year
- Full-time
Identify manual operational workflows and lead initiatives to automate routine tasks using scripting (Bash, Python, PowerShell) and Infrastructure as Code (IaC).
Added 23 days ago
A
Ingénieur En Cybersécurité
Actalent
Montreal, QC
- $75 to $105 CAD / hour
- Contract
Il s'agit d'un rôle hybride nécessitant 3-4 jours au bureau
Added 23 days ago
C
MEP VDC/BIM Specialist
CadMakers
Burnaby, BC
- $75,000 to $95,000 CAD / year
- Full-time
🚀 Optimize Processes: Improve our MEP standards, templates, families and automation (e.g. Dynamo, pyRevit and cmCore tools) so every project runs faster and cleaner than the last
Added 23 days ago
C
MEP VDC/BIM Specialist
CadMakers
Remote, Canada
- $75,000 to $95,000 CAD / year
- Full-time
- Remote
🚀 Optimize Processes: Improve our MEP standards, templates, families and automation (e.g. Dynamo, pyRevit and cmCore tools) so every project runs faster and cleaner than the last
Added 23 days ago
OH
Senior Quality Assurance Engineer
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

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Applications open in a new tab.

Job details

Job type: Internship
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Client: Ministry of Public and Business Service Delivery and Procurement – RQ11486

We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms. The ideal candidate will have strong hands-on expertise in Databricks, Delta Live Tables (DLT), Unity Catalog or equivalent technologies, Azure Data Factory, advanced SQL, PySpark, data modelling, and enterprise-scale data migration and integration. The successful candidate will be responsible for building and optimizing ETL/ELT processes, implementing CI/CD practices, managing cloud data services, and supporting data engineering initiatives across multiple platforms, including Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Role Snapshot

Job Title: RQ11486 – Data Ops/Cloud Data Engineer – Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 40 St. Clair Avenue West, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: October 5, 2026
Estimated End Date: March 31, 2027
Business Days: 123.00
Extension: 60.00
Hours: 7.25 hours per day
Security Level: No Clearance Required

Must Have

Experience designing, building, automating, and optimizing complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT), or equivalent technologies.
Experience developing unified data platforms using Databricks and Unity Catalog or equivalent technologies.
Experience with relational databases, including Oracle, MySQL, and SQL Server; relational and dimensional data modelling; advanced SQL; query optimization; data replication; and database administration.
Advanced SQL skills, including PL/SQL and T-SQL.
Experience with big data processing frameworks, including PySpark.
Proficiency in creating Azure Data Factory pipelines for copy activities and developing custom data pipelines in Databricks with CI/CD using Azure DevOps Git integration.
Experience with data migration and integration across different platforms, including:
- Oracle to Azure Data Lake
- Oracle to Databricks
- Oracle to Microsoft Fabric

Description

To respond to the priorities of the Government of Ontario through the passage of Bill 5, Protect Ontario by Unleashing Our Economy Act, 2025, the resource may be partially assigned to Bill 5-related projects or initiatives on an as-needed basis.

Responsibilities

Design and develop data pipelines from source systems to end users.
Optimize data pipelines.

General Skills

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, specializing in data storage settings and managing Cloud Data as a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DaaS), and other storage platforms in both cloud and on-premises environments.
Experience with data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and manage data flows and data movement.
Experience as a Cloud Data Engineer, including familiarity with and experience in different programming languages and the ability to integrate multiple platforms to create data pipelines, automate tasks, and write scripts.
Experience with DataOps principles, best practices, implementation, and Agile project development and deployment.
Experience with Continuous Integration/Continuous Development/Deployment (CI/CD) and data provisioning automation.
Experience with digital products, data analysis, data exchange, data provisioning, and data security.
Extensive expert experience in designing, developing, and implementing data conversion and migration of Very Large Data (VLD) across Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) environments to Cloud Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) environments.
Experience in the design, development, and implementation of fact/dimension models, data mapping, data warehouses, data lakes, and data lakehouses for enterprise environments.
Experience managing cloud data services for project delivery, including storage, repositories, data lakes, data lakehouses, key vaults, virtual machines, disks, and related services.
Experience with structured, semi-structured, and unstructured data collection, ingestion, provisioning, and exchange; technological development of enterprise data warehouse, data lake, and data lakehouse solutions; and operational support.
Experience with DataOps performance monitoring and tuning.
Excellent analytical, problem-solving, and decision-making skills; verbal and written communication skills; presentation skills; interpersonal skills; and negotiation skills.
A team player with a track record of meeting deadlines.

Desirable Skills And Experience

Data lake design and development, with a focus on extracting and transforming data from various sources and loading it into a lakehouse using medallion architecture.
Advanced skills and hands-on experience with Oracle databases, Azure SQL Server, and Azure Data Factory.
Experience with cloud technologies, including Azure, Google Cloud, and AWS.
Experience with PL/SQL for data extraction, transformation, and loading; initial setup; and other ETL experience, including management and support activities such as troubleshooting, performance tuning, failover, and recovery.
Experience with scripting languages, including Python, Unix shell, and Scala.

Experience And Skill Set Requirements

Mandatory Skills and Experience - 70%

Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General Skills Sections, Including:

Designing, building, automating, and optimizing ETL/ELT data pipelines using Databricks, Delta Live Tables (DLT), or equivalent technologies.
Developing unified data platforms using Databricks and Unity Catalog or equivalent technologies.
Working with relational databases, data modelling, advanced SQL, PL/SQL, T-SQL, query optimization, data replication, and database administration.
Applying big data processing frameworks, including PySpark.
Developing Azure Data Factory pipelines and custom Databricks data pipelines with CI/CD and Azure DevOps Git integration.
Performing data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.
Applying DataOps principles, CI/CD, data provisioning automation, cloud data management, pipeline orchestration, performance monitoring, and tuning.
Supporting enterprise-scale data conversion, migration, warehousing, lake, and lakehouse solutions.
Desirable Skills and Experience - 25%
Data lake and lakehouse design and development using medallion architecture.
Advanced hands-on experience with Oracle databases, Azure SQL Server, and Azure Data Factory.
Knowledge of Azure, Google Cloud, and AWS.
PL/SQL-based data extraction, transformation, loading, ETL management, troubleshooting, performance tuning, failover, and recovery.
Scripting experience with Python, Unix shell, and Scala.
Education - 3%
Education-related qualifications and experience as applicable to the assignment requirements.
Public Sector Experience - 2%
Public sector experience relevant to the assignment and the priorities of the Government of Ontario.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Wednesday, October 21, 2026, at 8:00 AM EST.

Mandatory Documents:

Updated Resume in Word format (Mandatory)
References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot submit a candidate.

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Note:

The candidate is required to work from the office five days per week.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design, build, automate, and optimize data pipelines and ETL/ELT processes across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric. Manage cloud data services and support enterprise data migration, integration, platform development, CI/CD, and pipeline performance optimization.

Requirements

Candidates need extensive hands-on experience with Databricks or equivalent technologies, Delta Live Tables, Unity Catalog, Azure Data Factory, advanced SQL, PySpark, and relational database administration and modeling. Experience with enterprise-scale data migration, DataOps, CI/CD, Azure DevOps, and cloud data platforms is required; Python, Unix shell, Scala, and medallion architecture are desirable.

Skills

Databricks
Delta Live Tables
Unity Catalog
Azure Data Factory
Advanced SQL
PL/SQL
T-SQL
PySpark
Data Pipeline Engineering
ETL/ELT
Data Modeling
Oracle
Azure Data Lake
Microsoft Fabric
CI/CD
Azure DevOps

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Live Tables
Unity Catalog
Azure Data Factory
Azure DevOps
Microsoft Fabric
Azure Data Lake
Oracle
MySQL
SQL Server
Azure SQL Server
Advanced SQL
PL/SQL
T-SQL
PySpark
Python
Unix Shell
Scala
ETL/ELT
DataOps
CI/CD
Data Migration
Data Integration
Data Modeling
Data Warehousing
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Performance Tuning
Google Cloud

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Jobs in Canada