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Added 10 days ago
C
Lead Performance Engineer
Collabera
Toronto, ON
- $60 to $69 CAD / hour
- Contract
nguages such as Python, C, and Java, along with SQL query development and scripting.
Added 10 days ago
RA
Full Stack Cloud Developer
Recrute Action
ON · Toronto, Waterloo, Ontario
- Contract
3+ years of hands-on development experience using C#, .NET or .NET Core, Python, SQL, and Blazor or similar web application frameworks.
Added 10 days ago
IC
Business Analyst
Infotek Consulting Inc.
Toronto, ON
- $60 to $70 CAD / hour
- Contract
…Business Analyst to join a 7-person team building enterprise data and AI solutions. You will support active internal development projects in a highly regulated environment. This is a strong…
Added 10 days ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
Overseeing the construction and management of sophisticated data infrastructures, including databases, data warehouses, and data lakes, utilizing technologies such as SQL, NoSQL, and…
Added 10 days ago
CI
Data Engineer with AWS and GCP -- MAZDC5983751
Compunnel Inc.
Montreal, QC
- Contract
Strong SQL skills and experience with relational/non-relational databases.
Added 10 days ago
G
Analyst, Mining Systems
Glencore
Sparwood, BC
- $85,000 to $100,000 CAD / year
- Full-time
Programming experience using Microsoft .NET, C#, SQL Server, and Python or shell scripting inculding PowerShell
Added 10 days ago
O
Software Developer (Microsoft 365 & Azure Integrations) 1
OpenText
Richmond Hill, ON
- Full-time
We are looking for a Senior Software Developer to design and build the integration layer between OpenText Content Management and the Microsoft ecosystem, including Microsoft Teams,…
Added 10 days ago
TH
ANALYSTE PRINCIPAL, PERSPECTIVES COMMERCIALES, FINANCES
The Home Depot Canada
Toronto, ON
- Full-time
Workflow Modernization: Move legacy workflows, including Alteryx, to SQL- and Python-based processes in partnership with analytics engineering.
Added 10 days ago
TH
Senior Insight Analyst
The Home Depot Canada
Toronto, ON
- Full-time
Workflow Modernization: Move legacy workflows, including Alteryx, to SQL- and Python-based processes in partnership with analytics engineering.
Added 10 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 10 days ago
E
Business Analyst / Data Analyst
eTeam
Montreal, QC
- Contract
3+ years + CIB/Institutional Banking + Business/Data Analysis + Credit/Lending exposure + SQL/Python/Automation + strong English communication.
Added 10 days ago
J
Associate Software Engineer - International
Justworks
Toronto, ON
- $109,000 to $136,000 CAD / year
Solid SQL skills and understanding of database fundamentals
Added 10 days ago
KG
Senior Data AI Engineer – GenAI & Agentic AI
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Design, develop, and deploy enterprise-grade AI and data applications using Python, PySpark, SQL, Claude AI, APIs, and modern cloud platforms.
Added 10 days ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $60 CAD / hour
- Contract
Proficiency in Python for data science and GenAI application development.
Added 10 days ago
ON
Business Intelligence Analyst
Ontario Northland
North Bay, ON
- Full-time
Demonstrated knowledge of data and analytics tools, including Microsoft Power BI, Microsoft Fabric, SharePoint, SQL, and advanced Excel (formulas, pivot tables, and data modeling)
Added 10 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 10 days ago
NC
IT Specialist - Web & Odoo Development
Northern Caulking Inc.
Toronto, ON
- Full-time
▪ Strong Python, plus working knowledge of XML, JavaScript, HTML, CSS and SQL (PostgreSQL)
Added 10 days ago
TC
SQE
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Perform backend validation using databases and SQL queries to verify data accuracy, consistency, and application behavior.
Added 10 days ago
Data Scientist
CEVA SANTE ANIMALE
Guelph, ON
Experience with tools like SQL, Python, R, or Power BI is a plus, but not required
Added 10 days ago
PC
AI & Digital Innovation Engineering Intern
Parsons Corporation
Toronto, ON
- Full-time
…imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an…
Added 10 days ago
S
MBSE & Digital Twin Specialist (Internship) – ALTO project / Cadence
SYSTRA
Montreal, QC
- Internship
Knowledge of Power BI, SQL, or Python would be an asset.
Added 10 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Proficiency in Python, REST APIs, JSON, and object-oriented programming.
Added 10 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
4+ years of programming experience with SQL and Python/R
Added 10 days ago
T
TD Asset Management Portfolio Analytics Data Analyst Intern/Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
…& Analytics team to build cutting edge portfolio management and reporting tools. In this role, you will work directly with Portfolio Managers and Traders to automate data flows and develop…
Added 10 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.

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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