Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 24 days ago
C
Ingénieur(e) MLOps senior
CGI
Montreal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 24 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 24 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 24 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 24 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
Added 24 days ago
AI Data Scientist
Conga
Canada
Expert-level Python with extensive use of Hugging Face Transformers, spaCy, NLTK, Sentence Transformers, PyTorch, and TensorFlow.
Added 24 days ago
SL
Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Waterloo King
- Full-time
We are currently looking for a Senior Data Engineer - with a passion for turning disparate streams of data into organized and actionable analytics services and insights. As a Data Engineer…
Added 24 days ago
I-
DataOps/Cloud Data Engineer - Senior
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Proficient in creating Azure Data Factory pipelines for copy activity and custom data pipelines in Databricks with CI CD (Azure DevOPS Git Integration) .
Added 24 days ago
A
Data Engineer Snowflake
Augmented
Toronto, ON
- Full-time
You will join a small, senior delivery team that works directly with client stakeholders. The work spans greenfield builds and migrations, with a strong focus on data quality, governance…
Added 24 days ago
DG
Sr. Software Developer I
Dahrouge Geological Consulting Ltd.
AB · Edmonton, AB
- Full-time
The Senior Software Developer I works directly with the lead developer to rebuild and harden our SaaS products to ensure they are secure, observable and easy to build on. The role helps set…
Added 24 days ago
Senior Software Engineer II, Investors
Carta
Toronto, ON · Waterloo, ON
The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS.
Added 24 days ago
O
Sr. IT Software Developer
OpenText
Waterloo, ON
- Full-time
As a Sr. IT Software Developer (Digital Fullstack), you will independently deliver full-stack and platform capabilities for OpenText's digital experience ecosystem. You will work across…
Added 24 days ago
Senior Software Test Engineer
Coursera
Toronto, ON
Experience with Cloud platforms such as AWS, Azure, or GCP
Added 24 days ago
I
Devops AI Developer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Part-time
…Innovation & Architecture (EIA). The team consists of junior and senior developers, a Scrum Master, and technical leadership working closely with AI and Operations teams. The group owns,…
Added 24 days ago
PH
Senior Network Operations Specialist, Elevare Health
Providence Healthcare
Vancouver, BC
- Full-time
Please note this is a primarily on-site position, with a rotating day and evening shift (8AM-4PM and 2PM-10PM) from Monday to Friday
Added 24 days ago
B
Senior NLP Engineer
Behavox
Toronto, ON
- $170,000 to $230,000 CAD / year
A hybrid role based in our modern Toronto office (1 day per week in office)
Added 24 days ago
UH
Postdoctoral Researcher
University Health Network
Toronto, ON
- Full-time
Shifts: Monday - Friday; Day Shifts
Added 24 days ago
M
RQ11486 - DataOps/Cloud Data Engineer - Senior
Maarut
Toronto, ON
- Contract
Experience with Cloud data platforms, data management and
Added 24 days ago
SI
Lead Analytics Engineer - Payments, Identity & Trust and Safety
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…Scribd securely monetize and protect its products. It is the senior-most analytics engineering role for these pillars and a purely technical leadership position with no direct reports. You…
Added 24 days ago
SI
Lead Analytics Engineer, AI Native Self Service Analytics
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Your impact will come through technical leadership. Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect…
Added 24 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
API Development & Python Engineering: Design and develop REST and MCP APIs, alongside senior-level Python development across the full data and ML stack.

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 15, 2026
Posting language: English
Posted: Oct 16, 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, build, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows, integrations, and enterprise-scale migrations. Manage cloud data services and apply CI/CD, DataOps, orchestration, monitoring, and performance-tuning practices across platforms such as Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Requirements

Candidates need extensive hands-on experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, Azure Data Factory, advanced SQL, PySpark, and relational database administration and modeling. They should also have experience with CI/CD and Azure DevOps, DataOps, and enterprise data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

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 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
CI/CD
DataOps
Data Migration
Data Integration
Data Modeling
Dimensional Modeling
Data Warehousing
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Google Cloud

Report this job

Work requirements

Jobs in Canada