Jobs in Canada

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Added 21 days ago
T
Data Scientist II
TD
Toronto, ON · Ottawa, ON
- Full-time
In this role, TD will look to you for thought leadership; enabling you to lead, coach, mentor, empower and educate your peers to collaborate and bring TD into the future of banking. Your…
Added 21 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 21 days ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Reporting to the Director, Enterprise Architecture, you’ll be the technical lead responsible for designing, implementing, and operationalizing enterprise-wide data quality measurement and…
Added 21 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 21 days ago
IS
Solutions Architect
Iris Software Inc.
Toronto, ON
- Contract
Foundation & Feature Engineering: Lead the foundational setup of Python/PySpark development environments, actively managing complex package dependencies and virtual environments using…
Added 22 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 22 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 22 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Nesto Group is Canada's leading provider of mortgage technology and financing solutions, with more than CAD $80 billion in residential and commercial mortgages under administration. Trusted…
Added 22 days ago
ES
Databricks Lead Developer
Enterprise Solutions Inc.
Mississauga, ON
- Full-time
We are seeking an experienced Databricks Lead Developer to design, develop, and optimize scalable data engineering solutions using Azure Databricks. The ideal candidate will have strong…
Added 22 days ago
Data Analyst, Investment Data Architecture
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
…organization to get more value from its investment data. We lead Modern Data Platform (MDP) enablement for the investment data domain, set the standards and governance that help business…
Added 22 days ago
Data Analyst, Investment Data Architecture
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
…organization to get more value from its investment data. We lead Modern Data Platform (MDP) enablement for the investment data domain, set the standards and governance that help business…
Added 22 days ago
AC
SAS/Python Developer
Adastra Corporation
Markham, ON
- Full-time
Join Adastra’s Data Engineering team as a SAS/Python Developer, where you will help build and modernize the data platforms that power customer analytics, personalization, marketing, risk,…
Added 22 days ago
IC
Data Analytics Engineer
Infotek Consulting Inc.
Toronto, ON
- Contract
Work Arrangement: Hybrid – 1 day per week in office
Added 22 days ago
F/
Senior Data Developer (Data, Compliance & Financial Solutions)
FCC / FAC
AB · BC · MB · NB · NL · NS · ON · PE · Quebec, QC · Regina, SK · SK · FCC Tower
- Full-time
As a Senior Data Developer, you’ll design, develop, test, troubleshoot and deploy complex data solutions using AWS technologies, infrastructure as code and strong software development…
Added 22 days ago
F/
Senior Data Developer
FCC / FAC
Regina, SK · FCC Tower
- Full-time
We’re looking for an experienced data developer who can build, support and improve the data pipelines and infrastructure that teams across FCC rely on every day. Someone who’s a practical…
Added 23 days ago
T
Wealth Operations Automation Intern / Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
…team, the successful candidate will have the opportunity to lead and support programs that enhance the client and colleague…
Added 23 days ago
Data Analyst Developer – ETL/ELT & Data Pipelines
Vacances Air Canada Vacations / Air Canada Rouge
Mississauga, ON · Montreal, QC
Hybrid work model: Corporate Mandate of 4 days in office (Tuesday, Wednesday, Thursday + 4th day of your choice) and 1 day from home
Added 23 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 23 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 23 days ago
A
Senior IFRS 17 Data Engineer / Toronto, ON - (Onsite) FTE
AceStack
Toronto, ON
- Full-time
Work Model: Onsite – 4 Days per Week
Added 23 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 23 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 23 days ago
TC
AWS Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest…
Added 24 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
Added 26 days ago
T
Senior Salesforce Analyst, Marketing Delivery
TD
Toronto, ON
- Full-time
The successful candidate will lead end-to-end campaign delivery across Salesforce Marketing Cloud and related Salesforce capabilities, including Loyalty Management, Data Cloud / Data 360,…

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