Jobs in Canada

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Added 24 days ago
EF
Sr. Finance Process Excellence & Automation Analyst
Element Fleet Management
Toronto, ON
- Full-time
Build and enhance solutions using Alteryx, Power BI, Power Automate, SQL, AI-enabled tools, and other relevant platforms to reduce manual work and improve data quality and consistency.
Added 24 days ago
C
Administrator ERP System
Chartwell
Mississauga, ON
- Full-time
Added 24 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Strong programming proficiency in SQL, Python, Scala, or related languages.
Added 24 days ago
Senior Applications Developer
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, AB · Stellarton, NS · Mississauga, ON
…currently have a full-time opportunity for a Senior Application Developer. This role can be based out of one our main offices including: Stellarton, NS; Mississauga, ON; Calgary,…
Added 24 days ago
CF
Manager, Data Operations
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 24 days ago
CG
Senior Manager, Strategic Development & Data Enablement
Compass Group Canada
Mississauga, ON
- Full-time
Added 24 days ago
LC
Supply Chain Consultant - Planning
LIDD Consultants Inc.
Toronto, ON
- Full-time
Experience with database management and SQL Syntax;
Added 24 days ago
O
Analyste technique en données et diagnostics
Otodata
Montreal, QC
- Full-time
Utiliser SQL et des outils d’automatisation pour extraire, transformer et valider les données.
Added 24 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 24 days ago
NB
Murex Expert
National Bank of Canada
Toronto, ON
- Full-time
Added 24 days ago
S
Senior Software Developer
Seequent
Quebec, QC · Canada Quebec QC Office
- Full-time
Mode de travail hybride : 2 jours par semaine au bureau local et le reste de la semaine en télétravail
Added 24 days ago
PC
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 24 days ago
AL
Web designer
Artistic Landscaping Inc
Waterloo, ON
- Full-time
Added 24 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency and familiarity with different SQL, Hive databases and GitHub·
Added 25 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
Stichting Mission on Wheels
Calgary, AB
- Full-time
Strong backend, SQL, API and authorization skills, plus practical React/TypeScript. You can own mobile releases and debug state, sync and recovery problems
Added 25 days ago
Sr Analyst Data & Analytics
The Canada Life Assurance Company
Toronto, ON
Strong SQL skills and proficiency in Python or R for data preparation, integration, reconciliation, validation, automation, analysis, and quality assurance
Added 25 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Strong programming skills in Python, SQL, and Spark for large-scale structured and unstructured data analysis and machine learning development.
Added 25 days ago
Senior Financial Analyst
Rogers Communications
Toronto, ON
Knowledge of in the following systems will be considered an asset: Oracle Financial Systems, Hyperion/Essbase, data querying software (SQL, Data bricks, Alteryx, Snowflake), PowerBI.
Added 25 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
This position is currently hybrid with three days per week in the office
Added 25 days ago
L
Senior Application Engineer - IAM
lululemon
Vancouver, BC
- Full-time
Proficient in Beanshell, Java, SQL, JDBC, REST API, Web Services, and utilizing AI (Github Copilot, etc.) to improve - for example - application code, deployment methodologies, testing,…
Added 25 days ago
T
TD Asset Management Investment Management Intern/Co-op (Summer 2027)
TD
Toronto, ON
- Full-time
Skills that the student must have (specific technical, and other skills)
Added 25 days ago
C
Full Stack Engineer
Code17Tek
Toronto, ON
- Full-time
We’re looking for a Java Full Stack Developer with strong hands-on experience in Java, Spring Boot, and React or Angular to build and enhance enterprise applications.
Added 25 days ago
T
Fraud Specialist, Supplier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
Experience wrangling data with Excel / Google Sheets, Looker or SQL.
Added 25 days ago
OC
Senior Technical Consultant, SAP Ariba
Optis Consulting
AB · Vancouver, Calgary, Montreal, Toronto, New York, Alberta
- Full-time
They must have exceptional communication skills, be adaptable, proactive and willing to take ownership
Added 25 days ago
C
Software Development Engineer in Test (Python)
CGI
Halifax, NS
- Full-time
This is a full-time permanent opportunity based in Bedford, Nova Scotia, requiring four days per week onsite

Closed listing

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Internship
Closing date: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

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Search current openings

Original job description

Archived listing. The details below describe a past opening.

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

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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.

About employer

More about this job

Responsibilities

Design, develop, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows, orchestration, and CI/CD practices. Manage enterprise data services and support data integration, migration, performance tuning, and lakehouse initiatives across 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 enterprise-scale data migration, DataOps, CI/CD, Azure DevOps, and cloud data platforms; Python, Unix shell, Scala, and multi-cloud experience are desirable.

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
DataOps
Oracle
Microsoft Fabric
Data Migration

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 Lakehouse
Medallion Architecture
Data Warehousing
Pipeline Orchestration
Google Cloud
AWS

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Jobs in Canada