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Added 8 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
We’re looking for a hands-on Software Engineer to help build and scale the next generation of AI-powered solutions. In this role, you’ll combine deep Generative AI engineering with direct…
Added 8 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 8 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 8 days ago
Senior Frontend Developer, Market Innovations
HelloFresh
Toronto, ON
We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure…
Added 8 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
We’re looking for a hands-on Software Engineer to help build and scale the next generation of AI-powered solutions. In this role, you’ll combine deep Generative AI engineering with direct…
Added 8 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer, you will help design, build, and operate core components of the service while solving complex challenges across distributed systems, database technologies,…
Added 8 days ago
RB
Senior Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Knowledge of scripting languages and tools, including Python, GitHub, SQL, JavaScript, and web-related technologies such as HTML and CSS
Added 8 days ago
P
GTM Engineer, Growth and Marketing Operations
Punt
Vancouver, BC
- $145,000 to $175,000 CAD / year
- Full-time
Strong technical proficiency in Python or JavaScript, APIs, webhooks, SQL, and workflow platforms (e.g., n8n or Make).
Added 8 days ago
R
Senior Site Reliability Engineer
RBC
Toronto, ON
- Full-time
Knowledge of scripting languages and tools, including Python, GitHub, SQL, JavaScript, and web-related technologies such as HTML and CSS
Added 8 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 8 days ago
I-
DataOps/Cloud Data Engineer - Senior
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Relational databases (Oracle, MySQL, SQL Server), data modelling (relational & dimensional), advanced SQL, query optimization, data replication, administration.
Added 8 days ago
JG
GCP Senior Data Engineer
J&M Group
Canada
- Contract
Leadership: Experience leading data engineering teams onshore and offshore. This is a lead position, not a senior data engineer position. Candidates without leadership experience will not…
Added 8 days ago
A
Data Engineer Snowflake
Augmented
Toronto, ON
- Full-time
Level: Intermediate to Senior (4+ years in data engineering)
Added 8 days ago
S
Senior Machine Learning Engineer
ServiceNow
Toronto, ON
- Full-time
Python, MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL
Added 8 days ago
A
Data Engineer Lakehouse
Augmented
Toronto, ON
- Full-time
Augmented is hiring a Data Engineer to build and run a modern lakehouse platform for one of our large enterprise clients in a regulated industry. You will design reliable batch and…
Added 8 days ago
T
Software Engineer III
TD
London, ON · Toronto, ON
- Full-time
We are seeking a skilled Senior Software Engineer with expertise in Java with expertise in Node JS, Java, Spring Boot, REST API, Kafka , SQL Server Database, Cloud, Azure & AI tools. This…
Added 8 days ago
M
RQ11486 - DataOps/Cloud Data Engineer - Senior
Maarut
Toronto, ON
- Contract
Experience with Cloud data engineer must be familiar and
Added 8 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 8 days ago
SI
Lead Analytics Engineer, AI Native Self Service Analytics
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
We’re hiring for a Principal/Lead Analytics Engineer to scale data for an AI native Scribd, Inc. In this role, you will shape the technical foundations, modeling standards, and development…
Added 8 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
We are looking for modern technical builders rather than notebook-only analysts: fluent with Python, SQL, Git, cloud and cloud data platforms, AI-native in how they work, credible in front…
Added 8 days ago
K
Senior Analytics Engineer - Finance
Kraken
Canada
- Full-time
We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI…
Added 8 days ago
L
Quality Engineer
LTM
Mississauga, ON
- $84,238 to $103,554 CAD / year
- Full-time
…quality Utilize Playwright testing frameworks in Java C and Python to automate test scenarios Perform accessibility testing to ensure compliance with standards Conduct API and microservices…
Added 8 days ago
L
Senior Quality Engineer
LTM
ON · Ontario, Canada
- $84,238 to $103,554 USD / year
- Full-time
…quality Utilize Playwright testing frameworks in Java C and Python to automate test scenarios Perform accessibility testing to ensure compliance with standards Conduct API and microservices…
Added 8 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.
Added 9 days ago
TI
Senior DataOps / Cloud Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
The client is seeking a highly experienced Senior DataOps / Cloud Data Engineer to design, develop, automate, optimize, and maintain enterprise-scale data pipelines and cloud-based data…

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 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.

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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, 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

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