Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 3 days ago
M
BSP Software Engineer
MANNARINO
Montreal, QC
- Full-time
We are seeking an experienced BSP Software Engineer to support the development of a next-generation embedded computing platform for an in-flight entertainment system.
Added 3 days ago
MS
Intermediate Electronics Validation and Test Engineer/Designer
MDA Space
Sainte-Anne-de-Bellevue, QC
- Full-time
The intermediate Electronics Validation and Test Engineer/Designer will be responsible for design, integration and commissioning of specialized electronic test equipment for testing mixed…
Added 3 days ago
Senior Engineer - Data Engineering
Altimetrik
Vancouver, BC
Senior Engineer - Data Engineering, with Finance domain having 5-10 years of experience is required to design and develop robust data pipelines using Python and PySpark to support data…
Added 3 days ago
SI
CAD Software Engineer, Principal-18736
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
You are a seasoned Software Architect or ASIC design engineer with a strong affinity for design automation and a deep understanding of the complexities involved in advanced semiconductor…
Added 3 days ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB · NB · Virtual, New Brunswick
- Full-time
Expertise in Python or PowerShell scripting for automation and pipeline support
Added 3 days ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Expertise in Python or PowerShell scripting for automation and pipeline support
Added 3 days ago
C
Senior Site Reliability Engineer (Edge Security)
Cvent
Fredericton, NB
- Full-time
…background and are interested in developing internal tools and automation, Cvent SRE can benefit from your skillsets. Ultimately, we are looking for passionate people who love learning,…
Added 3 days ago
GF
Electronics Engineer, Diagnostics & Data Acquisition
General Fusion Inc.
Richmond, BC
- Full-time
Proficiency with general-purpose programming languages (Python, C, C++) for test automation and data analysis.
Added 3 days ago
F
Senior Solutions Engineer
Fours
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
We work in a hybrid model with 4 days per week in our Downtown Vancouver office
Added 3 days ago
CP
Software engineer
Canada Peptide Research
Toronto, ON
- Full-time
We are seeking a skilled and motivated Computer Engineer to join our team. The successful candidate will be responsible for designing, developing, testing, and maintaining computer…
Added 3 days ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 3 days ago
C
Automation Testing | API & UI Testing (US Based Role - TN Visa)
Capgemini
Mississauga, ON
- Full-time
We are seeking an experienced Quality Engineer with strong expertise in test automation, API testing, cloud technologies, and CI/CD practices. The ideal candidate will have a solid…
Added 3 days ago
M
RQ11860 - Database Administrator - Senior
Maarut
Toronto, ON
- Contract
(DevOps/DataOps) & Operations, Data Integration, Automation tools and
Added 4 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Remote, Canada
- $175,000 to $210,000 CAD / year
- Full-time
- Remote
Location: Hybrid, three days per week, Toronto / Greater Toronto Area (GTA), Ontario, Canada
Added 4 days ago
HB
Site Reliability Engineer – Elite Quant - Up to $200,000 CAD Starting base + Exceptional benefits/bonus package Fund
Hunter Bond
Montreal, QC
- Full-time
My client - one of the world's leading quantitative trading firms - is hiring a Platform Engineer / Site Reliability Engineer (SRE) to design, build, and maintain highly scalable, resilient…
Added 4 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 4 days ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 4 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 4 days ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 4 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 4 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 4 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 4 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 4 days ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 4 days ago
FT
Full Stack LLM Engineer
FDE Times
Toronto, ON
- Full-time
We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like…

S M Software Solutions Inc

RQ11673 – Report Developer – Junior

Toronto, ON, Canada

Internship

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Internship
Apply by: Dec 8, 2026
Posting language: English
Posted: Nov 8, 2026

Original job description

Client: Ministry of Public and Business Service Delivery and Procurement – RQ11673

We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The ideal candidate will have hands-on experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks, Delta Lake, Lakehouse architecture, Python, SQL, and Spark-based data processing frameworks. The successful candidate will support the Government of Ontario's Ontario Data Platform (ODP) initiative by developing scalable data pipelines, implementing data integration solutions, optimizing data processing workflows, and ensuring data quality, security, governance, and operational efficiency.

Role Snapshot

Job Title: RQ11673 – Report Developer – Junior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 222 Jarvis Street, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: September 28, 2026
Estimated End Date: March 31, 2027
Business Days: 133.00
Extension: Probable after the initial mandate
Hours: 7.25 hours per day
Security Level: No Clearance Required

Must Have

Qualifications

Degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field.
Experience developing data solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks, Delta Lake, and Lakehouse architecture principles.
Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.
Strong proficiency in Python, SQL, and Spark-based data processing frameworks.
Knowledge of data governance, security, privacy, and access control principles.
Experience with REST APIs, application integration patterns, and automation frameworks.

Description

Role Overview

The Government of Ontario is undertaking a large-scale Data & AI transformation initiative, with the Ontario Data Platform (ODP) serving as the enterprise technology ecosystem for data-driven decision-making, analytics, and artificial intelligence.

ODP provides a modern and scalable data environment supporting data ingestion, storage, processing, governance, quality, marketplace capabilities, and advanced analytics across ministries and government organizations.

We are seeking a Data Engineer / Software Developer to support the design, development, and operation of enterprise data solutions on the Ontario Data Platform. The successful candidate will work with modern cloud technologies, including Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS), to build scalable data pipelines, enable analytics use cases, and support the delivery of high-quality data products across government.

Key Responsibilities

Data Engineering & Pipeline Development
Design, develop, and maintain scalable batch and near real-time data pipelines using Azure Data Factory (ADF), Databricks, and related cloud technologies.
Develop data ingestion frameworks to onboard data from various source systems into the Ontario Data Platform.
Build and optimize ETL/ELT processes to transform, cleanse, and prepare data for analytics and reporting.
Implement data validation, monitoring, and reconciliation processes to ensure data quality and reliability.
Databricks Development
Develop and maintain notebooks, workflows, and data processing jobs using Databricks.
Build data transformation pipelines leveraging Spark and Databricks Lakehouse architecture.
Support the implementation of medallion architecture patterns (Bronze, Silver, Gold).
Monitor and troubleshoot Databricks jobs, workflows, and performance issues.
Develop and manage Delta Lake tables and optimize data processing workloads for performance and scalability.
Data Storage & Integration
Design and manage data solutions utilizing Azure Data Lake Storage (ADLS).
Collaborate with source system teams to establish secure and efficient data integration patterns.
Implement data partitioning, optimization, and archival strategies to improve performance and scalability.
Support metadata management, data cataloguing, and governance initiatives.
Software Development & Automation
Develop reusable frameworks, scripts, and utilities to automate data engineering processes.
Participate in DevOps practices, including CI/CD pipelines, code reviews, testing, and deployment automation.
Maintain technical documentation, design specifications, and operational procedures.
Contribute to platform enhancements and continuous improvement initiatives.
Apply software engineering best practices, including version control, test automation, code quality standards, and secure coding principles.
Collaboration & Stakeholder Engagement
Work closely with architects, product managers, data scientists, analysts, and business stakeholders to understand requirements and deliver technical solutions.
Participate in Agile teams and contribute to sprint planning, estimation, and delivery activities.
Provide technical guidance and knowledge sharing to team members and partners.
Participate in solution architecture reviews and contribute to technology roadmaps and design decisions.

Experience And Skill Set Requirements

Technical (Power BI) – 80%
Demonstrated technical experience in developing and supporting data engineering solutions.
Experience developing data solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks, Delta Lake, and Lakehouse architecture principles.
Strong proficiency in Python, SQL, and Spark-based data processing frameworks.
Experience designing, developing, and maintaining scalable batch and near real-time data pipelines.
Experience developing data ingestion frameworks to onboard data from multiple source systems into enterprise data platforms.
Experience building and optimizing ETL/ELT processes for data transformation, cleansing, and preparation for analytics and reporting.
Experience developing and maintaining Databricks notebooks, workflows, and data processing jobs.
Experience implementing Spark-based data transformation pipelines and Databricks Lakehouse architecture.
Knowledge of medallion architecture patterns, including Bronze, Silver, and Gold layers.
Experience developing and managing Delta Lake tables and optimizing data processing workloads for performance and scalability.
Experience designing and managing data solutions using Azure Data Lake Storage (ADLS).
Experience implementing data partitioning, optimization, and archival strategies.
Knowledge of metadata management, data cataloguing, and data governance practices.
Experience implementing data validation, monitoring, and reconciliation processes to ensure data quality and reliability.
Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.
Experience developing reusable frameworks, scripts, and utilities to automate data engineering processes.
Experience with REST APIs, application integration patterns, and automation frameworks.
Knowledge of data governance, security, privacy, and access control principles.
Understanding of software engineering best practices, including version control, test automation, code quality standards, and secure coding principles.
Ability to maintain technical documentation, design specifications, and operational procedures.
Ability to contribute to platform enhancements and continuous improvement initiatives.
Communication – 10%
Strong verbal and written communication skills.
Ability to work effectively with architects, product managers, data scientists, analysts, and business stakeholders.
Ability to understand business and technical requirements and translate them into effective technical solutions.
Ability to participate in Agile teams, sprint planning, estimation, and delivery activities.
Ability to provide technical guidance and knowledge sharing to team members and partners.
Ability to participate in solution architecture reviews and contribute to technology roadmaps and design decisions.
Strong collaboration and stakeholder engagement skills.
Public Sector Experience – 10%
Experience working in public sector environments.
Understanding of government enterprise technology environments and data-driven decision-making initiatives.
Ability to work with government ministries, organizations, and stakeholders.
Understanding of data governance, security, privacy, and access control requirements in public sector environments.
Ability to contribute to enterprise data platform initiatives and deliver high-quality data solutions across government organizations.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Tuesday, November 10, 2026, at 10:00 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

Additional Information

Onsite Requirement: 5 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

Develop and maintain scalable data pipelines, ingestion frameworks, and ETL/ELT processes using Azure Data Factory, Databricks, Azure Data Lake Storage, Spark, and Delta Lake. Support data quality, governance, security, deployment automation, platform operations, and collaboration with technical and business stakeholders across the Ontario Data Platform initiative.

Requirements

A degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field is required, along with experience using Azure data technologies and proficiency in Python, SQL, and Spark. The role also requires familiarity with DevOps and CI/CD, data governance and security, REST APIs, and effective communication and collaboration; public-sector experience is included in the requirements.

Skills

Azure Data Factory
Azure Data Lake Storage
Databricks
Delta Lake
Lakehouse Architecture
Python
SQL
Apache Spark
Data Pipeline Development
ETL/ELT
Azure DevOps
Git
CI/CD
REST APIs
Data Governance
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Factory
Azure Data Lake Storage
Databricks
Delta Lake
Lakehouse Architecture
Python
SQL
Apache Spark
Azure DevOps
Git
CI/CD Pipelines
REST APIs
ETL/ELT
Data Ingestion
Data Pipelines
Medallion Architecture
Bronze, Silver, And Gold Layers
Data Governance
Data Quality
Data Security
Privacy
Access Control
Metadata Management
Data Cataloguing
Automation Frameworks
Agile
Ontario Data Platform
Public Sector
Batch Processing
Near Real-Time Processing

Report this job

Work requirements

Jobs in Canada