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Added 11 days ago
ON
Business Intelligence Analyst
Ontario Northland
North Bay, ON
- Full-time
…120 years and strong connections to the communities we serve. With over 1200 skilled professionals, we work together to enhance transportation services and ensure that they are sustainable…
Added 11 days ago
A
AI Platform Engineer : Halifax, Nova Scotia : Hybrid : FTE
AceStack
Halifax, NS
- Full-time
The ideal candidate has strong software engineering skills, practical experience building agent-based solutions, and hands-on expertise with AI coding assistants such as Claude Code.
Added 11 days ago
GD
Principal Data & AI Engineer
General Dynamics Mission Systems–Canada
Ottawa, ON
- $140,000 to $170,000 CAD / year
- Full-time
Strong development experience with SQL, Python, APIs, and data orchestration technologies.
Added 11 days ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $26.95 to $38.5 USD / hour
- Other
5 years of scripting and automation experience with Python or Java.
Added 11 days ago
TC
SQE
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Familiarity with browser developer tools, application logs, and debugging techniques for troubleshooting and validating application behavior.
Added 11 days ago
P
Algorithm Developer- 3D Reconstruction
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- Full-time
As an Algorithm Developer, you will join a tight-knit engineering team building the next generation Planix capture system. You will work on the 3D reconstruction pipeline that converts raw…
Added 11 days ago
PC
AI & Digital Innovation Engineering Intern
Parsons Corporation
Toronto, ON
- Full-time
In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided…
Added 11 days ago
S
MBSE & Digital Twin Specialist (Internship) – ALTO project / Cadence
SYSTRA
Montreal, QC
- Internship
Support the integration of MBSE tools with other digital platforms.
Added 11 days ago
TC
Jira Service Management Intake & Automation Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $120,000 USD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 11 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
8+ years of software development experience with strong hands-on expertise in Python.
Added 11 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
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- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 11 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
4+ years of programming experience with SQL and Python/R
Added 11 days ago
B
Manager, Data Science, AI Risk
BMO
Sainte-Catherine, QC · Toronto, ON · FCP
- Full-time
Experience with data visualization and analytics platforms (e.g., Power BI, SQL, Python) preferred.
Added 11 days ago
MT
DSP & Systems Architecture Intern
Marvell Technology
Toronto, ON · Markham, ON · CA-ON - Markham
- Full-time
Collaborate with analog, digital, photonics, and firmware engineering teams to validate architectural assumptions against real hardware and silicon measurements
Added 11 days ago
MC
Junior Quality Engineer
Method CRM
Toronto, ON
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1+ years of working experience in developing Integration Testing (API level) with Python or other languages.
Added 11 days ago
TC
Sr Java Developer
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Toronto, ON
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…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 11 days ago
H
Technical Production Support Analyst
Hays
Montreal, QC
- Contract
Hands-on scripting/programming experience with PL/SQL, Shell/Bash, Python and/or Perl.
Added 11 days ago
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Portfolio Advisory Associate
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Toronto, ON
- Full-time
As a Portfolio Advisory Associate , you will perform a variety of functions working with the Portfolio Advisory team, in cooperation with the broader Private Client Solutions (PCS) group,…
Added 11 days ago
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Added 11 days ago
Senior Business Data Analyst - Asset Management Software
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ON · NB · NS · AB
The role offers significant ownership and visibility within a small, collaborative Data & AI team. You will work with modern technologies including Snowflake, dbt, SQL, Python, Power BI,…
Added 11 days ago
MI
Data Engineer
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Kitchener, ON
- Full-time
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Added 11 days ago
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Systems Integration Lead (Revenue Mgmt Systems) (2) - Temporary Assignment Up to 18 Months
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Added 11 days ago
EV
Analyst, Mining Systems
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…environmental performance and building strong partnerships with communities and Indigenous…
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Conversational AI Developer
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Collaborate with application teams to improve developer experience and release reliability.

General Dynamics Mission Systems–Canada

Principal Data & AI Engineer

Ottawa, ON, Canada

$140,000 to $170,000 CAD / year · Full-time

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Job details

Pay: $140,000 to $170,000 CAD / year
Job type: Full-time
Apply by: Apr 13, 2027
Experience: 8+ years of experience in data engineering, systems integration, software engineering, or related technical disciplines.
Posting language: English
Posted: Oct 15, 2026

Original job description

Build bold. Deliver impact. Win together.

At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we serve.

If you’re looking for meaningful work that contributes to a safer, more secure world, you’ll find purpose here. Every day, your skills will directly impact programs that matter.

Job Description

GDMS-I is establishing an enterprise Data & AI capability to support digital transformation, advanced analytics, automation, and artificial intelligence initiatives across the organization.

As GDMS-I increases its investment in AI, a robust enterprise data foundation is required to ensure information is accessible, trusted, secure, and ready to support advanced analytics and AI-enabled business processes.

The Principal Data & AI Engineer will be responsible for establishing and maturing our enterprise data engineering capability, defining architecture and integration patterns, and leading the implementation of our strategic data platform. The role will lead the development of scalable data pipelines, integration frameworks, cloud-based data platforms, and AI data services that enable business intelligence, automation, and future AI capabilities across the enterprise.

Key Responsibilities

Establish and oversee enterprise data platforms leveraging Microsoft Azure, Snowflake, and MuleSoft.
Define the strategy for scalable, reusable, and governed data pipelines for ingesting, transforming, and integrating enterprise data from business systems, engineering platforms, and external sources.
Architect the enterprise integration services and APIs using MuleSoft and modern integration patterns.
Lead the implementation of cloud-native data architectures, including data lakes, data warehouses, and semantic data models.
Establish data engineering standards, design patterns, and best practices to support enterprise scalability and long-term sustainability.
Manage the prioritization of data products that enable business intelligence, reporting, analytics, automation, and AI initiatives.
Enable AI and machine learning use cases by ensuring high-quality, accessible, and governed enterprise data.
Direct the adoption of Retrieval-Augmented Generation (RAG), vector search, knowledge retrieval, and AI integration capabilities where appropriate.
Define the direction for and manage real-time and event-driven data processing solutions.
Establish requirements and oversight for monitoring, observability, data quality, metadata management, and governance controls across enterprise data platforms.
Collaborate with business stakeholders, application teams, architects, and technology partners to identify and deliver data solutions that address business priorities.
Lead the development and execution of GDMS-I's enterprise Data & AI strategy and roadmap.

Qualifications

Bachelor’s degree in computer science, Engineering, Data Science, Information Systems, or related discipline, or demonstrable equivalency in experience.
8+ years of experience in data engineering, systems integration, software engineering, or related technical disciplines.
Demonstrated experience establishing and maturing enterprise-scale data platforms and integration solutions.
Strong experience with Azure cloud services, including data, analytics, and AI-related services.
Experience developing and supporting Snowflake-based data platforms.
Hands-on experience with MuleSoft or equivalent enterprise integration platforms.
Strong development experience with SQL, Python, APIs, and data orchestration technologies.
Strong understanding of data architecture, data modeling, data governance, security, and metadata management.
Experience supporting analytics, reporting, machine learning, or AI-enabled solutions.
Ability to operate independently in a highly technical, hands-on engineering role.

Preferred

Experience with Microsoft Fabric, Azure Data Factory, Synapse Analytics, Azure AI, Azure OpenAI, and related Microsoft data services.
Experience implementing RAG architectures, vector databases, AI agent frameworks, and large language model integrations.
Experience with data cataloging, master data management, and enterprise information governance.

It is a requirement that General Dynamics Mission Systems–Canada be registered with the Canadian Controlled Goods Program and that all of its workforce be security assessed. Successful applicants must meet all applicable security requirements, including but not limited to the ability to obtain and maintain a Canadian government security clearance. Applicants may be required to meet additional security requirements in order to gain access to technical data, classified areas, or information that is subject to international regulations. You must be eligible to work in Canada.

Additional Information

The hiring range for this position is $140,000 - $170,000 CAD annually. This role is eligible for a management incentive plan. Our goal is to provide a fair and competitive offer based on an assessment of internal equity and your qualifications, including:

Relevant experience
Technical and non-technical skills
Education and certifications

Benefits

As a full-time employee at General Dynamics Mission Systems–Canada, you’ll enjoy a competitive total rewards package that supports your professional and personal well-being:

Comprehensive medical, dental, and vision coverage for you and eligible dependents from day one (no cost), including flexible benefits options (HCSA) emergency travel insurance, and 24/7 virtual care services.
Employee & Family Assistance Program (EFAP), onsite fitness facilities, and employee resource groups.
Defined Contribution Pension Plan with employer contributions after 3 months, RRSP access from day one, and financial planning support.
Flexible time off including vacation, holidays, parental leaves with top-up options, sick leave, and disability programs.
Career development through learning platforms, educational assistance, mentoring, and reimbursement of professional memberships.
Additional perks such as employee discounts, free onsite parking, social clubs, and an annual scholarship program for employees’ children.

Why join us?

Purposeful Innovation: You’ll work on innovations that genuinely make a difference. You’ll apply advanced thinking, design expertise, and practical problem-solving to help equip military and allied forces with leading-edge systems. You’ll be surrounded by some of the brightest minds in the defence sector, contributing to next-generation technologies in an environment that celebrates creativity, new ideas, and modern solutions.
Connection: We believe people do their best work when they feel they belong, and their ideas can flourish. Different perspectives, experiences, and ways of thinking help us innovate and grow. Strong relationships with our teammates help us unite, overcome challenges, and deliver the world-class quality we’re known for. Here, we are committed to inclusivity and ensures every individual feels valued, respected, and empowered.
Challenging and Rewarding Career Pathways: Your career path matters to us. From mentorship and regular check-ins with your leader to educational support, professional certifications, and continuous training, you’ll have the resources you need to thrive. We encourage internal mobility so you can explore different business areas, broaden your skillset, and expand your network. You’ll be working on high-profile, impactful projects that challenge your skills, expand your expertise, and allow you to both learn from mentors and guide others along the way.

Accommodation

If you require accommodation during any stage of the application process, please contact Human Resources via recruitment@gd-ms.ca.

Closing Date

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

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More about this job

Responsibilities

Establish and lead the enterprise Data & AI capability, including the strategy, architecture, and implementation of scalable data platforms, pipelines, integration services, and APIs using Azure, Snowflake, and MuleSoft. Govern data quality, security, metadata, and real-time processing while prioritizing data products and enabling analytics, automation, and AI initiatives, including RAG and vector search.

Requirements

Requires a bachelor’s degree in a relevant discipline or equivalent experience, at least eight years of relevant technical experience, and demonstrated experience building enterprise-scale data platforms and integration solutions. Candidates should have strong Azure, Snowflake, SQL, Python, API, data architecture, governance, and analytics or AI experience; eligibility to work in Canada and the ability to obtain and maintain required Canadian government security clearance are also required.

Skills

Azure Cloud Services
Snowflake
MuleSoft
SQL
Python
APIs
Data Engineering
Data Architecture
Data Modeling
Data Governance
Data Pipelines
Cloud Data Platforms
Data Orchestration
Machine Learning
Retrieval-Augmented Generation
Vector Search

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Flexible Benefits
Emergency Travel Insurance
Virtual Care Services
Employee And Family Assistance Program
Onsite Fitness Facilities
Financial Planning Support
Flexible Time Off
Vacation
Holidays
Parental Leave
Sick Leave
Disability Programs
Career Development
Educational Assistance
Mentoring
Professional Membership Reimbursement
Employee Discounts
Free Onsite Parking
Social Clubs
Annual Scholarship Program

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Snowflake
MuleSoft
Microsoft Fabric
Azure Data Factory
Synapse Analytics
Azure AI
Azure OpenAI
SQL
Python
APIs
Data Engineering
Enterprise Data Platforms
Data Pipelines
Data Lakes
Data Warehouses
Semantic Data Models
Data Orchestration
Data Governance
Metadata Management
Data Quality
Real-Time Data Processing
Event-Driven Processing
Machine Learning
Artificial Intelligence
Retrieval-Augmented Generation
Vector Databases
AI Agent Frameworks
Master Data Management
Canadian Government Security Clearance

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