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Added 5 days ago
Q
GCP Senior Data Engineer
Querentia
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience in Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of DBT for data transformation and modeling. The…
Added 5 days ago
GS
Quality Assurance Engineer
Grand Software Solutions
Toronto, ON
- Full-time
Quality Assurance Automation Engineer will be responsible for testing and automation processes, methodologies, test strategy and improvements of our overall test delivery.
Added 5 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Software Engineer - Zynque
Added 5 days ago
HB
Platform Engineer - Reliability - FinTech - $125,000-$225,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $125,000 to $225,000 CAD / year
- Full-time
Skills: Linux, Chef, Puppet, Ansible, Kubernetes, Docker, CI/CD, Python
Added 5 days ago
X
Forward Deployed AI Value Engineer
XTM
Montreal, QC
- Full-time
We are seeking a highly versatile, technically advanced, and commercially astute Forward Deployed AI Value Engineer to join our centralized AI Value Realization team.
Added 5 days ago
XI
Forward Deployed AI Value Engineer
XTM International
Remote, Canada
- Full-time
- Remote
We are seeking a highly versatile, technically advanced, and commercially astute Forward Deployed AI Value Engineer to join our centralized AI Value Realization team.
Added 5 days ago
OG
Network Architect
Optimal Growth Technologies
Canada
- Contract
Scripting and automation skills in Python, Ansible, Terraform, or PowerShell.
Added 5 days ago
SM
RQ11486 – 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 designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 5 days ago
RB
Senior Principal AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 5 days ago
RB
Digital Asset QA Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Mentor team members on testing techniques, automation frameworks, and QA methodologies
Added 5 days ago
E
AV Service Engineer - Control Systems & Device Integration
EvertzAV
Burlington, ON
- Internship
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on , our software-defined…
Added 5 days ago
D
C++ Software Engineer - Machine Vision (AOI)
DaoAI
Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
Proficient in Python for tooling/automation, and in Git.
Added 5 days ago
V
QA ENGINEER
VeriiPro
Vancouver, BC
- Contract
Lululemon Commerce and Services team is looking for a Senior Quality Assurance Engineer. The team is responsible for application architecture, development and innovation of new feature…
Added 5 days ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and…
Added 5 days ago
SM
RQ11486 – 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 designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 5 days ago
SM
RQ11486 – 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 designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 5 days ago
C
Software Development Engineer in Test (Python)
CGI
Halifax, NS
- Full-time
…developers, business analysts, and project teams, you will develop Python-based automation frameworks, perform API and backend testing, and contribute to continuous quality improvement…
Added 5 days ago
A
Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 5 days ago
E
AV Service Engineer - Control Systems & Device Integration
evertz.io
Burlington, ON
- Internship
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on , our software-defined…
Added 5 days ago
PS
ML/NLP Engineer
PRESCRIRE Solutions
Montreal, QC
- Full-time
Intelligent Automation: Develop extraction algorithms for complex regulatory forms with interdependent field validation.
Added 5 days ago
CC
Principal Optical Systems Engineer
Celero Communications
Ottawa, ON
- Full-time
We are seeking a Principal Optical Systems Engineer to join our newly established optical system verification team at Celero Inc. The successful candidate will help lead system integration…
Added 5 days ago
AM
Silicon Design Engineer (1 year contract)
Advanced Micro Devices, Inc
Markham, ON
- Temporary
…products. It is also responsible for DFX design methodology and CAD automation tools development to support the global DFX engineering teams across…
Added 5 days ago
BS
Applied AI Engineer - Engineering Simulation & Design Exploration
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
We are looking for a hands-on Applied AI Engineer to experiment with these emerging technologies. Your role is to try new tools, test them, benchmark them, integrate them into prototypes,…
Added 5 days ago
Escalation Engineer- Toronto
Island
Toronto, ON
Scripting ability (Python, PowerShell, Bash) for log parsing or reproduction automation
Added 5 days ago
HB
Sr. DevOps Engineer
Haventree Bank
Toronto, ON
- Full-time
Cloud Infrastructure Design & Management/Automation (IaaC): Drive automation in infrastructure provisioning, configuration management, and system monitoring using tools like Terraform and…

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

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Job details

Job type: Internship
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 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.

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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 cloud data platforms, including ETL/ELT workflows, data migration, and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric. Manage pipeline orchestration, CI/CD, cloud data services, and performance monitoring while supporting enterprise data warehouse, lake, and lakehouse initiatives.

Requirements

Candidates need extensive hands-on experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, Azure Data Factory, advanced SQL, PL/SQL, T-SQL, and PySpark. They should also have experience with relational and dimensional modeling, enterprise-scale data migration, Azure DevOps CI/CD, DataOps, and cloud data platforms.

Skills

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

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 Pipeline Orchestration
Data Modeling
Dimensional Modeling
Data Migration
Data Replication
Data Warehousing
Data Lakehouse
Medallion Architecture
Google Cloud

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