Jobs in Canada

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Added 1 day ago
WT
Lead, People Systems
Wealthsimple Technologies
Remote, Canada
- $112,000 to $145,000 CAD / year
- Full-time
- Remote
…owning the work that has to be right: who can see what, how data moves between systems, and how every release…
Added 1 day ago
SC
Civil/Water Resources Engineer (Mine Water Management)
SRK Consulting
Sudbury, ON
- Full-time
Must be based in Sudbury, Ontario
Added 1 day ago
NT
Senior AI/ML Software Engineer – Localization
NEARSOURCE TECHNOLOGIES
Vancouver, BC
- Full-time
Job Title: Senior AI/ML Software Engineer – Localization
Added 1 day ago
A
Localization Software Engineer
Applicantz
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Top 3 Must haves:
Added 1 day ago
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Senior Full Stack .NET Developer
Squadric
Calgary, AB
- Contract
The position follows a hybrid model, requiring two days per week at one of our clients' offices in Vancouver, Calgary or Edmonton · Candidates must be able to work on-site at least two days per week at one of our clients' offices in Vancouver, Calgary, or Edmonton
Added 1 day ago
QF
Senior Data Engineer
Questrade Financial Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We’re looking for our next Senior Data Engineer
Added 1 day ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 1 day ago
A
Ingenieur RAMS / RAMS Engineer
Actalent
Montreal, QC
- $30 to $55 CAD / hour
- Contract
Environnement de travail hybride avec 3 à 4 jours par semaine sur site à Montréal, QC ou Ottawa, ON · Hybrid work schedule with 3-4 days per week on-site in Montreal, QC or Ottawa, ON
Added 1 day ago
A
Ingenieur Qualite / Quality Engineer
Actalent
Montreal, QC
- $40 to $55 CAD / hour
- Contract
Le poste implique de travailler à la fois sur site et chez le fournisseur (2 jours par semaine), principalement à Laval
Added 1 day ago
A
Electronics Engineer
Actalent
Calgary, AB
- $52 to $60 CAD / hour
- Full-time
This Electronics Engineer role offers the opportunity to design and deliver innovative collaboration products that integrate 4K HDMI, advanced touch technology, and modern collaboration…
Added 1 day ago
K
DEVOPS ENGINEER
Kablamo
Toronto, ON
- Full-time
Kablamo is an impact-driven software engineering company (teamkablamo.com). We bring engineering, data, and AI expertise to solve complex problems – with the intellectual horsepower to know…
Added 1 day ago
MI
Manufacturing Engineer
Magna International
Toronto, ON
- Full-time
Conducts appropriate Manpower efficiency studies – through time and motion studies or standard data. Line balancing manpower, machine charts and analysis
Added 1 day ago
AI
Senior L3 AI Engineer
Apptoza Inc.
Montreal, QC
- Full-time
Senior Level 3 AI Engineer - Copilot / ChatGPT / Grok / Claude / Gemini
Added 1 day ago
SP
Analytics Specialist SE (Commercial FINS & Canada) - Senior/Lead Solution Engineer
Salesforce Partner Canada
Vancouver, BC
- Full-time
We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and…
Added 1 day ago
MI
Senior Manager Design Engineer, NA
Mondelēz International
Toronto, ON · Plant - East York, Canada
- Full-time
Support leadership with data-driven inputs for capital decision-making.
Added 1 day ago
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Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
- Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Added 1 day ago
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Infrastructure Engineer, Junior / New Grad (Toronto)
DataVisor
Remote, Canada
- $80,000 to $120,000 CAD / year
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 day ago
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Senior Infrastructure Engineer - Toronto
DataVisor
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 day ago
AC
Principal Technical Lead
Air Canada
Toronto, ON
- Full-time
Collaborate with Product, Data, Infrastructure, and Cybersecurity teams to deliver secure, scalable, and integrated solutions.
Added 1 day ago
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Full Stack Engineer
Mission.dev
ON · Ontario, Canada
- $200,000 to $280,000 CAD / year
- Full-time
Willingness and ability to work on-site in San Francisco, five days per week
Added 1 day ago
FS
Embedded Software Designer - AI Knowledge and Data
Fidus Systems
Ottawa, ON
- Full-time
…many systems. We are building a knowledge base that lets any engineer ask "have we built this before?" or "have we seen this break?" and get a sourced…
Added 1 day ago
FS
Embedded Software Designer - AI Knowledge and Data
Fidus Systems
Kitchener, ON
- Full-time
…many systems. We are building a knowledge base that lets any engineer ask "have we built this before?" or "have we seen this break?" and get a sourced…
Added 1 day ago
Field Engineer - Michels Canada
Michels Corporation
Toronto, ON · Concord, ON
The Field Engineer plays a key role in supporting the successful execution of trenchless and heavy civil construction projects in the field. This position is responsible for coordinating…
Added 1 day ago
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Senior Oracle Database Developer
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
Job Title: Senior Oracle Database Developer/Data Engineer
Added 1 day ago
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Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
The Head of Data Systems (Google Stack) will play a key role at Stacktics, required to help create and maintain industry-leading quality and efficiency of service and software delivery.

Stacktics

Head of Data Systems (Google Stack)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 13, 2026
Posting language: English
Posted: Nov 13, 2026

Original job description

The Head of Data Systems (Google Stack) will play a key role at Stacktics, required to help create and maintain industry-leading quality and efficiency of service and software delivery.

Stacktics will rely on the Head of Data Systems with ownership of the Data Systems function including mentoring and support for our team of engineers, developers, marketing analysts and data scientists. The successful candidate will be expected to meet and exceed Stacktics' quality standards, while helping the organization rapidly expand into increasingly complex application development, data engineering, and related workflows.

KEY RESPONSIBILITIES

Ownership of Stacktics' Data Systems Business Unit

Build and grow your team's capabilities and expertise to be truly platform-agnostic, ever-adapting based on opportunity and business direction
Lead thorough audits of clients'/prospects' Data Systems, and other associated platforms and technologies as applicable including performance and cloud cost-efficiency
Provide proactive recommendations, identifying areas of opportunity and/or improvement for clients based on their underlying business objectives and goals
Maintain continuous focus on work output quality and reliability, acting as the champion of customer satisfaction in a proactive manner and as the final escalation point for technical and delivery issues that cannot be resolved at the Technical Lead level
Act as Stacktics' primary Data Systems expert, ensuring to maintain and continuously grow personal expertise, and sharing information with other Stacktics team members, client stakeholders and prospects
Collaborate with, support, and work closely with cross-functional units to ensure efficient workflow, and realize cross-functional opportunities and enhancements
Maintain responsibility for the Business Unit's growth and success, continuously developing existing engagements, optimizing resourcing and prospecting
Be dedicated to the success and happiness of your team members, optimizing workflow, enabling their personal growth, and acting as a strong team leader overall

Instilling Development Best Practices and Skills/Procedures Advancement

Establishing, maintaining and evolving DevSecOps best practices and tools, and continuously keeping them aligned with current industry best practices and procedures
Understanding, implementing and automating security controls, governance processes, and compliance validation frameworks
Contributing to deployment tooling within the Stacktics team
Contributing to version control technology frameworks and creating/implementing working processes within the Data Systems team, with tools such as Git or SVN
Own and continuously improve the practice's AI coding standards, the AI coding constitution (CLAUDE.md, GEMINI.md, .cursorrules), PR checklists, and slash commands keeping them current as tools, clients, and the team's needs evolve

Leading in the Software 3.0 Era

AI tools have changed how fast engineering work gets produced. Your job is to make sure that speed shows up as sounder architecture and higher-quality delivery - not just faster shipping of the same judgment gaps.

Recalibrate how the team scopes and estimates work as AI tooling changes what can actually be delivered in a sprint, so timelines and resourcing plans reflect real AI-era delivery speed
Set architecture and coding standards that assume engineers are using AI assistants daily - code review habits, eval frameworks, and quality gates sized to the failure modes of AI-assisted development, not just its speed
Continue evolving Stacktics' AI Development Lifecycle (ADLC) - our AI-native answer to SDLC - piloting new stages against real engagements and driving adoption across the team
Be an active daily user of AI coding assistants yourself, and bring that firsthand experience into how standards and review practices are set for the team
Lead Stacktics’ technical team members through the integration into Agentic AI-first working patterns, and beyond

Code Productization

Migrating the delivery of the most common/universally applicable solutions from custom projects to formally productized software solutions
Advocating for building repeatability, scalability and standardization into how the Stacktics Data Systems team approaches all work, in order to enable the future migration to productization as a general rule

Data Engineering-Specific Responsibilities

Participate in continuous delivery pipelines to fully automate deployment of the highly available cloud platform that supports multiple projects
Design and develop ETL workflows and datasets to be used in data visualization tools
Write complex SQL queries with multiple joins to automate and manipulate data extracts
Perform end to end Data Validation to maintain accuracy of data sets
Build tools for deployment, monitoring and operations
Troubleshoot and resolve issues in the development, test and production environments
Develop re-usable processes that can be leveraged and standardized for multiple instances
Prepare technical specifications and documentation for projects
Stay up to date on relevant technologies, plug into user groups, understand trends and opportunities to ensure we are using the best possible techniques and tools
Understand, implement, and automate security controls, governance processes, and compliance validation

Contribution to Corporate Strategy

Actively and proactively play a key role in steering Stacktics and affiliated companies, considering market developments, competitive maneuvers, unique opportunities, etc.
You will be expected to both bring new ideas to the table and assist other corporate leaders in vetting/developing concepts and tactics
Identification and tracking of performance, coaching, training needs, and motivating members of the Data Systems team - including Senior Technical Leads. Directly or indirectly responsible for hiring, terminating and owning performance evaluations for direct reports and the Data Systems group

Company-Wide Responsibilities

Maintain and exceed client satisfaction with Stacktics’ deliverables, day-to-day work and overall value as a partner
Adapt to ever-changing client needs and expectations
Maintain dedication toward achieving excellence in Stacktics’ delivery against client needs, and overall success as an organization
Ability to provide clear guidance and support for advanced problem solving and system design to large teams at enterprise-level client companies, aiding the evolution of their digital practices

QUALIFICATIONS

Deep expertise in building and managing large-scale data systems on cloud platforms, with a strong preference for Google Cloud Platform (GCP) services
Python, SQL and Cloud Computing
10+ years experience in Data Engineering, including 6+ years in technical leadership or management roles, with experience managing other leads (e.g., Technical Leads or engineering managers).
Strong understanding of and direct experience with managing a team operating in a “Software 3.0” model (Agentic AI-first)
Active user of AI coding assistants (Copilot, Cursor, Claude Code, or equivalent), and fluent in what they change about estimation, architecture, and review
Understanding of digital ecosystems including online data collection, cloud systems and analytics tools (Google Stack, Facebook, Salesforce, Adobe Suite etc.) a strong asset
Strong technical understanding of a range of marketing concepts such as cookie-based data collection, setting and leveraging audience segments, attribution modelling, AB/N & multivariate is an asset
Excellent written & verbal communication skills are essential; candidate should be comfortable presenting and participating in group discussions of concepts with internal and external stakeholders
Candidate must exhibit an analytical, detail-oriented approach to problem solving
Experience with Jira / Atlassian project management tools is an asset

Preferred Qualifications

Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer) are a strong plus.
Prior experience in a consulting environment, managing and delivering projects for multiple clients concurrently.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the Data Systems business unit, developing the team and overseeing client audits, cloud efficiency, technical delivery, security practices, and customer satisfaction. Advance AI-first engineering practices, productize repeatable solutions, guide data engineering work, and contribute to business strategy and team performance.

Requirements

Requires 10+ years of data engineering experience, including 6+ years in technical leadership or management and experience managing technical leads or engineering managers. Candidates should have deep cloud data systems expertise, preferably with Google Cloud Platform, strong Python and SQL skills, and hands-on experience with AI coding assistants and AI-first engineering practices.

Skills

Data Engineering
Google Cloud Platform
Python
SQL
Cloud Computing
Technical Leadership
Team Management
AI-Assisted Development
DevSecOps
ETL Workflows
Data Validation
Software Architecture
CI/CD
Security and Compliance
Project Management

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Google Stack
Python
SQL
Cloud Computing
Data Engineering
ETL
Data Validation
DevSecOps
CI/CD
Git
SVN
AI Coding Assistants
Agentic AI
Software 3.0
AI Development Lifecycle
Cloud Cost Optimization
Security Controls
Governance
Compliance Validation
Data Visualization
Marketing Analytics
Attribution Modeling
Audience Segmentation
Google Cloud Certifications
Jira
Atlassian
Productization
Consulting

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Jobs in Canada