Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 22 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 22 days ago
NB
Senior Analyst Middle Office
National Bank of Canada
Montreal, QC
- Full-time
As a Senior Analyst in Middle Office in Capital Markets and Treasury Risk Management team at National Bank, you’ll be a specialist in Market Risk. With your rigor, resourcefulness, and…
Added 22 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 22 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 22 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 22 days ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
Experience with visualization tools such as Power BI, Tableau and with cloud native or multi-cloud architectures such (Azure/AWS)
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
SS
Spécialiste principal – Intervention en cas d’incident (DFIR)/Senior Specialist - Incident Response (DFIR)
SITA Switzerland Sarl
Montreal, QC
- Full-time
Proficiency in Python and/or PowerShell, with working knowledge of KQL or similar query languages.
Added 23 days ago
AP
Senior Manager, Forward deployed Decision Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
That’s why we work, on average, a minimum of three days per week from the office, while balancing this with individual flexibility
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
UT
Développeur(euse) DevOps senior(e) | Senior DevOps Developer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Posséder une solide expérience de GCP ainsi qu’une connaissance pratique d’au moins un autre fournisseur, soit AWS ou Azure. Comprendre les compromis liés aux services gérés et être en…
Added 23 days ago
Principal Network Engineer
Hasbro
Montreal, QC
…decisions where complexity and security meet. You will work closely with the Senior Manager of Network & Cloud Infrastructure and partner with IAM, Cloud Infrastructure, and Security teams.…
Added 23 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- Full-time
Experience with a cloud infrastructure platform (preferably AWS).
Added 23 days ago
A
Senior Applied AI Developer
Autodesk
Toronto, ON
- Full-time
We are looking for a Senior Software Developer to help build the backend platform that powers these experiences. In this role, you will design and develop REST APIs, implement a flexible…
Added 23 days ago
C
Ingénieur(e) MLOps senior
CGI
Montreal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 23 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
…combination of data science and LLMs, in close collaboration with senior engineers and data scientists. This role offers the opportunity to deepen your expertise in cloud-native engineering…
Added 23 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
Strong programming skills in Python and/or Java, with experience writing maintainable, well-tested, production-quality code.
Added 23 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 23 days ago
R
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
- Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 24 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 24 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
Strong programming skills in Python and/or Java, with experience writing maintainable, well-tested, production-quality code.
Added 24 days ago
M
Senior AI Full Stack Developer (Healthcare - SaaS)
MEDFAR
Montreal, QC
- Full-time
Candidates must reside in the province of Quebec
Added 24 days ago
BR
AI Solutions Architect
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
12-month contract | Hybrid in the Greater Vancouver Metropolitan Area | Must hold a valid Canadian Work Visa

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Internship
Apply by: Nov 17, 2026
Posting language: English
Posted: Oct 18, 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.

WhatsApp Group

For daily job updates, you can also join our WhatsApp group using the link below:

Join our WhatsApp Group

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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, develop, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric. Manage pipeline orchestration, CI/CD, cloud data services, and performance monitoring while supporting enterprise-scale data migration and integration 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 must also have experience with relational and dimensional modeling, database administration and optimization, Azure DevOps CI/CD, DataOps, and cross-platform enterprise data migration.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

Report this job

Work requirements

Jobs in Canada