Jobs in Canada

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Added 27 days ago
GM
Manager, Software Engineering – Diagnostics Infrastructure
General Motors
Markham, ON · Oshawa, ON
- Full-time
…foundation for autonomous-driving and active-safety systems. You’ll lead engineers building shared software for AV sensing, compute, and vehicle platforms, with reuse across AV and IVI…
Added 27 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 27 days ago
CC
Lead Embedded Software Engineer
Coherent Corp.
Markham, ON
- Full-time
Added 27 days ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
As a Staff Engineer supporting the ADT - CODI program within Operations Technology, you will lead the technical design, development, and implementation of complex, multi-platform…
Added 27 days ago
Data Engineer
Scotiabank
Toronto, ON
Lead secure cloud-native application design on GKE, including containerized services, APIs, stateless patterns, autoscaling, resilience, and service integration.
Added 27 days ago
IN
Senior Data Engineer
IKO North America
Mississauga, ON
- Full-time
Lead the design and implementation of scalable, high-performance data systems to support IKO's global operations
Added 27 days ago
M
Staff Software Engineer - Onboarding and Migrations
Marqeta
Remote, Canada
- Full-time
- Remote
Design, develop, and maintain server-side applications and services using languages like Java and Python
Added 27 days ago
LC
Senior Enterprise Database Administrator
Litcom Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Lead technical recovery efforts during critical incidents and produce post-incident reviews.
Added 27 days ago
C
Lead Quant Analyst - Model Risk Management
Crisil
Toronto, ON
- Full-time
…which consists of the policy, processes, and procedures. The Lead Quant Analyst - Model Risk Management (MRM) will be responsible for conducting independent model validations either…
Added 27 days ago
G
Senior Manager, Data Engineering
Generac
Toronto, ON
- Full-time
As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be responsible for…
Added 27 days ago
Technical Solutions Development Manager, Data Analytics, Google Cloud Support
Google
Waterloo, ON
Experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript) or in system design.
Added 27 days ago
TC
AWS Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong experience creating Reference Architectures, HLDs and LLDs.• Ability to lead executive conversations as well as hands-on technical workshops.
Added 27 days ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack / développeur principal ou développeuse principale en logiciels
Capital One
Toronto, ON
- $173,000 to $197,400 CAD / year
- Full-time
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Added 27 days ago
TY
Technical Consultant
Test Yantra
Toronto, ON
- Full-time
Lead technical workstreams, collaborate with clients, and mentor junior team members.
Added 27 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Toronto, ON
- Full-time
…strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and on‑premise environments to scalable, secure,…
Added 27 days ago
NB
Senior Director Treasury Models Validation
National Bank of Canada
Montreal, QC
- Full-time
and analytics tools such as Python, R, or SQL, and the ability to review model
Added 28 days ago
DE
Data & AI Engineer / Ingénieur Des Données & IA
Dunsky Energy + Climate Advisors
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…deal of importance on offering our team the chance to grow and lead fulfilling lives both at work, and at home. We believe that how we work together is as important as the work we…
Added 28 days ago
DE
Data & AI Engineer / Ingénieur Des Données & IA
Dunsky Energy + Climate Advisors
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…deal of importance on offering our team the chance to grow and lead fulfilling lives both at work, and at home. We believe that how we work together is as important as the work we…
Added 28 days ago
DE
Data & AI Engineer / Ingénieur Des Données & IA
Dunsky Energy + Climate Advisors
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…deal of importance on offering our team the chance to grow and lead fulfilling lives both at work, and at home. We believe that how we work together is as important as the work we…
Added 28 days ago
V
Application Developer
Virtusa
Toronto, ON
- Full-time
Proven experience as a lead developer or technical architect.
Added 28 days ago
ED
Data Platform Engineer
Eigen Development
Toronto, ON
- Full-time
Own pipeline reliability: define SLOs for freshness and lag, build alerting and dashboards, lead incident response and root-cause analysis for pipeline failures
Added 28 days ago
R&
Business Systems & Technology Lead - Manufacturing
Robertson & Company Ltd.
Uxbridge, ON
- Full-time
Lead the modernization and integration of business systems across manufacturing, operations, engineering, sales and administrative functions.
Added 29 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
…strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and on‑premise environments to scalable, secure,…
Added 29 days ago
AP
Insight and Analytics Lead, Commercial Excellence
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
That’s why we work, on average, a minimum of three days per week from the office
Added 29 days ago
AP
Senior Manager, Forward deployed Decision Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
That’s why we work, on average, a minimum of three days per week from the office, while balancing this with individual flexibility

Scotiabank

Data Engineer

Toronto, ON, M5H 1H1, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Experience: 2+ years of progressive experience in software engineering, data engineering, AI/ML, or cloud-native delivery, including technical leadership on production systems.
Posting language: English
Posted: Oct 19, 2026

Original job description

Requisition ID: 276727

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The Data Engineer provides hands on technical expertise across software engineering, data engineering, and AI/ML. This role shapes solution architecture, establishes engineering standards, and leads complex delivery from discovery through production using Databricks/Lakehouse, GKE, cloud-native services, and governed Generative AI patterns.

Is this role right for you? In this role you will:

Own end-to-end solution design, architecture trade-offs, non-functional requirements, and implementation patterns for complex AI, data, and software products.
Provide technical expertise across engineers and workstreams; define roadmaps, sequence delivery, and resolve high-impact blockers and dependencies.
Lead secure cloud-native application design on GKE, including containerized services, APIs, stateless patterns, autoscaling, resilience, and service integration.
Design governed Generative AI and agentic solutions using LLMs, RAG, embeddings/vector search, memory, orchestration, guardrails, policy controls, evaluation, and human-in-the-loop patterns.
Lead integration with enterprise AI gateways and model-access services; assess migration impacts and recommend options that minimize rework and operational risk.
Architect scalable data products and pipelines using Databricks, Spark/PySpark, Delta/Lakehouse, and Medallion patterns across Bronze, Silver, and Gold layers.
Establish standards for Python, SQL, APIs, testing, code review, CI/CD, observability, documentation, and reusable components.
Own production readiness, including performance, capacity, availability, security, vulnerability remediation, deployment controls, rollback, monitoring, and incident response.
Drive AI/ML governance through evaluation criteria, ground-truth datasets, response and override logging, traceability, auditability, and business validation.
Partner with Architecture, Data Platform, Security, AI Risk, and business stakeholders to secure alignment, communicate risk, and influence target-state decisions.
Mentor engineers through design reviews, code reviews, and technical coaching, reducing dependency on individual contributors and raising team capability.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

University degree in Computer Science, Software Engineering, Data Science, Engineering, or a related STEM discipline, or equivalent practical experience.
2+ years of progressive experience in software engineering, data engineering, AI/ML, or cloud-native delivery, including technical leadership on production systems.
Advanced Python and SQL skills with strong software design, API development, and testing practices.
Hands-on experience with Databricks, Spark/PySpark, scalable processing, and Lakehouse/Medallion architecture.
Experience designing and operating distributed cloud-native applications, APIs, and data platforms.
Experience leading design reviews, resolving complex technical issues, and mentoring engineers.
Ability to influence architecture, platform, security, risk, business, and delivery stakeholders.

Nice‑to‑Have Qualifications:

Experience delivering governed AI solutions in banking or another highly regulated industry.
Experience with enterprise AI gateways, model hubs, MCP-based integrations, agent-to-agent patterns, Kafka, Airflow, or vector/NoSQL databases.
Experience preparing architecture artifacts and presenting at architecture, security, or risk governance forums.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply on jobs.scotiabank.com About employer

More about this job

Responsibilities

Lead end-to-end architecture and delivery of cloud-native software, data, and governed AI/ML products, including scalable Databricks Lakehouse pipelines and applications on GKE. Establish engineering and production-readiness standards, guide governance and stakeholder alignment, resolve complex technical issues, and mentor engineers.

Requirements

Requires a degree in Computer Science, Software Engineering, Data Science, Engineering, or a related STEM field, or equivalent practical experience, plus at least two years of progressive experience in software engineering, data engineering, AI/ML, or cloud-native delivery. Candidates should have advanced Python and SQL skills, hands-on Databricks and Spark experience, distributed application and data-platform experience, and demonstrated technical leadership, design-review, and mentoring abilities.

Skills

Python
SQL
Databricks
Apache Spark
PySpark
Lakehouse Architecture
Medallion Architecture
Google Kubernetes Engine
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Search
API Development
CI/CD
AI/ML Governance

Benefits

Bonus
Flexible Vacation
Personal Days
Sick Days
Benefits
Tuition Assistance
Online Courses
Cross-Functional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Databricks
Apache Spark
PySpark
Delta Lake
Lakehouse
Medallion Architecture
Google Kubernetes Engine
GKE
Cloud-Native Services
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Embeddings
Vector Search
AI Gateways
APIs
CI/CD
Kafka
Airflow
NoSQL Databases
AI/ML Governance
Observability
Containerization
Autoscaling
Security
Human-in-the-Loop
Banking

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Work requirements

Jobs in Canada