Find work in Canada.

576,714 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added just now
F
Co-Founder & CEO - AI Communication Agents for Freight & Logistics
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead HawkAI, an enterprise AI venture for US logistics brokerages, carriers, and warehouse operators. This is a co-founder partnership with…
Added just now
AI Practise Lead (CCaaS)
Bell
Mississauga, ON
As the AI Practice Lead for CCaaS, you will be the definitive technical authority and strategic voice driving customer experience (CX) and Contact Center AI transformations. Operating…
Added just now
F
Co-Founder & CEO - AI Accounting Agents for CPA Firms
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead Crossfoot, an AI-native accounting agent platform. This is a co-founder partnership with meaningful founder equity, not a salaried…
Added just now
F
Co-Founder & CEO - AI Communication Agents for Freight & Logistics
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead HawkAI, an enterprise AI venture for US logistics brokerages, carriers, and warehouse operators. This is a co-founder partnership with…
Added just now
F
Co-Founder & CEO - AI Accounting Agents for CPA Firms
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead Crossfoot, an AI-native accounting agent platform. This is a co-founder partnership with meaningful founder equity, not a salaried…
Added just now
TR
Agile Delivery Lead - AI & Automation
Thomson Reuters
Toronto, ON
- Full-time
As an Agile Delivery Lead, you will lead the daily delivery of small, high-impact automation initiatives, including AI Agents and other forms of automation. This is not a traditional…
Added just now
P
Customer Success Manager, EPM - San Francisco, Austin, New York or Toronto
Pigment
Toronto, ON
- $150,000 to $195,000 USD / year
- Full-time
Join Pigment: The AI Platform Redefining Business Planning
Added 15 mins ago
TG
Audio Visual Support Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
This role reports to: Technology Lead, AV Services
Added 30 mins ago
AM
Senior Source Control Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD engineering operates a large enterprise source-control environment spanning thousands of repositories and numerous development organizations. We are looking for a Senior Source Control…
Added 30 mins ago
S
Databricks Partner Solutions Leader
Slalom
Calgary, AB
- Full-time
Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered…
Added 1 hour ago
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
Lead large, ambiguous projects end-to-end. Drive efforts that span multiple teams from initial problem framing and design docs through implementation, rollout, and operational support
Added 1 hour ago
B
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
- Full-time
Lead large, ambiguous projects end-to-end. Drive efforts that span multiple teams from initial problem framing and design docs through implementation, rollout, and operational support
Added 1 hour ago
M
Senior Project Enablement Lead
McKesson
Mississauga, ON
- Full-time
The Senior Project Enablement Lead supports high-impact transformation work across HR Services, Workforce Experience, product and service teams. You will bring structure to cross-functional…
Added 1 hour ago
Product Owner - Netsuite
Asana
Vancouver, BC
Lead NetSuite implementation projects, ensuring on-time delivery and within budget, while meeting the defined objectives and quality standards.
Added 1 hour ago
CT
AVP, Delivery Excellence & Transformation
Canadian Tire Corporation
Toronto, ON
- Full-time
Align quarterly delivery planning, including PI Planning and Big Room Planning, with enterprise priorities, funding and governance; partner with platform leaders to address dependencies,…
Added 2 hours ago
BT
Senior Software Developer
Botpress Technologies Inc.
Remote, Canada
- Full-time
- Remote
Botpress is the enterprise-grade AI agent platform for customer support - built the other way around.
Added 2 hours ago
MU
Director Enterprise Technology Architecture
McGill University
Montreal, QC
- Full-time
McGill University is seeking a Director Enterprise Technology Architecture, reporting to the Senior Director, IT Governance & Strategic Planning (GSP) to lead the enterprise technology…
Added 2 hours ago
TR
Sr. Digital Product Manager
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
5+ years’ experience working as a product owner or product manager of a B2B or B2C digital platform
Added 2 hours ago
T
Data Designer II
TD
Toronto, ON
- Full-time
Lead initiatives on data governance and data management by ensuring business requirements align with enterprise data governance policies.
Added 2 hours ago
S
Senior Principal, Transformation Management
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Lead Complex, Enterprise-Scale Transformations
Added 2 hours ago
C
Customer Success Manager - Enterprise
Caribou
Toronto, ON
- Full-time
We’re looking for a Customer Success Manager to lead strategic enterprise customer accounts. This opportunity is for a compassionate problem solver who thrives in fast-paced environments…
Added 2 hours ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…decision-making. The role owns significant parts of the data platform, including production pipelines, transformation layers, data models, semantic layers, data quality, observability, and…
Added 2 hours ago
B
Senior Software Developer
Botpress
Montreal, QC
- Full-time
Botpress is the enterprise-grade AI agent platform for customer support - built the other way around.
Added 2 hours ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…reference architectures across Aritzia’s retail, eCommerce, enterprise, cloud, SaaS, and integration environments. You will partner with business and technology teams to evaluate risk,…
Added 2 hours ago
S
Business Intelligence (BI) Data Engineer
Semex
Guelph, ON
- Full-time
…join our Information Technology team. Reporting to the Data Platform Lead, this role will be responsible for designing, developing, testing and supporting Semex's modern data, analytics and…

Exchange Solutions

Senior Data Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: A minimum of 5 years’ progressive data engineering experience, with a demonstrated record of owning production data pipelines end-to-end.
Posting language: English
Posted: Nov 3, 2026

Original job description

Role Summary

The Senior Data Engineer reports to the Director, Information Technology Operations and designs, builds, and scales the data systems that support analytics, AI-enabled experiences, and organizational decision-making. The role owns significant parts of the data platform, including production pipelines, transformation layers, data models, semantic layers, data quality, observability, and engineering standards. It provides technical direction, mentors engineers and analysts, and partners with technical and business teams to deliver trusted, well-modelled data products. The role also evaluates and implements AI-assisted data engineering capabilities to improve pipeline development, transformation, documentation, metadata, data quality, and governed access to enterprise data while maintaining appropriate engineering controls and review.

Primary Responsibilities:

Data Platform Architecture & Technical Direction

Responsible for key contribution of significant parts of the data platform and drive long-term architectural decisions related to tooling, data modelling, semantic architecture, automation, and scalability.
Design data platform capabilities that reliably support analytics, reporting, operational use cases, and AI-enabled experiences.
Evaluate technical options and establish reusable patterns that improve platform maintainability, extensibility, and engineering effectiveness.

Pipeline Development & Transformation

Design, build, and maintain scalable, reliable production data pipelines and transformation layers using dbt and a medallion Bronze, Silver, and Gold architecture.
Write advanced SQL and Python to develop transformations, frameworks, automation, and reusable engineering tooling.
Responsible for production data pipelines end-to-end, including design, development, testing, deployment, monitoring, troubleshooting, optimization, and ongoing support.

Data Modelling & Semantic Architecture

Lead data modelling across dimensional models, slowly changing dimensions, fact and dimension design, and well-structured Silver and Gold layers.
Design and evolve semantic layers that define business entities, metrics, relationships, calculations, and governed business logic for consistent use across BI, analytics, and AI applications.
Develop metadata-driven and governed data structures that make enterprise data discoverable, understandable, and consistently consumable.

AI-Assisted Data Engineering & Enablement

Evaluate and apply AI-assisted engineering approaches to accelerate pipeline design, transformation logic, SQL generation, testing, documentation, troubleshooting, and optimization while maintaining strong review and engineering controls.
Explore AI-assisted schema understanding, metadata generation, relationship discovery, business-concept mapping, and generation of semantic definitions.
Partner with Analytics and Innovation AI Labs to enable natural-language-to-data, intelligent analytics, semantic retrieval, and other AI or LLM-based uses of governed enterprise data.

Data Quality & Observability

Responsible for evolving key elements of the data quality strategy, including testing frameworks, monitoring, alerting, service levels, observability, anomaly detection, and platform-wide validation.
Implement controls that identify pipeline, transformation, model, metadata, and semantic-layer issues early and support timely root-cause analysis and remediation.
Promote trusted data products through clear quality standards, transparent monitoring, and continuous improvement of reliability and usability.

Engineering Practices & Delivery Standards

Establish and champion engineering practices covering version control, CI/CD, code review, documentation, automated testing, clean maintainable code, and dbt project standards.
Develop reusable frameworks and automation that improve delivery consistency, reduce manual effort, and support safe changes across data environments.
Contribute to governance, cataloguing, lineage, metadata management, and data-contract practices that strengthen understanding and control of enterprise data.

Partnership, Mentorship & Team Growth

Collaborate with analysts, data scientists, product teams, and business stakeholders to translate business requirements into trusted, well-modelled data products.
Mentor and support engineers and analysts, provide technical guidance, and contribute to team capability and engineering maturity.
Communicate architecture decisions, data definitions, quality expectations, risks, and technical trade-offs clearly to technical and business stakeholders.
Contribute to the culture of the company, fostering Exchange Solutions' core values and policies.

Capability Requirements - Education, Skills & Experience:

Education & Experience

Post secondary education, with a degree in Data Engineering.
A minimum of 5 years’ progressive data engineering experience, with a demonstrated record of owning production data pipelines end-to-end.
Experience designing, developing, and operating data platforms that support analytics, reporting, operational use cases, or AI-enabled applications.
Experience translating business and analytical requirements into trusted data products in collaboration with technical and business stakeholders.
Experience leading data engineering projects or mentoring engineers and analysts is an asset.
Experience in a loyalty, retail, financial services, or other data-intensive environment is an asset.

Technical Skills

Expert SQL skills and strong Python proficiency for data engineering; working knowledge of Jinja.
Deep hands-on dbt experience, including advanced modelling, macros, packages, testing, documentation, and project architecture using dbt Core or dbt Cloud.
Strong command of medallion architecture and data modelling, including dimensional modelling, slowly changing dimensions, fact and dimension design, and semantic layers.
Experience designing or working with semantic models, governed business metrics, metadata-driven architectures, or governed business definitions.
Experience with cloud data warehouses such as Snowflake, BigQuery, Databricks, or Redshift and with cloud platforms such as AWS, Azure, or GCP.
Experience building and operating data quality, testing, monitoring, alerting, lineage, cataloguing, or observability capabilities.
Solid software engineering practices covering Git, CI/CD, automated testing, code review, documentation, and clean maintainable code.
Experience with orchestration tools such as Airflow, Dagster, Prefect, dbt Cloud, or Snowflake Tasks is an asset.
Familiarity with streaming or real-time data and infrastructure-as-code tools such as Terraform is an asset.
Ability to evaluate and safely incorporate AI-assisted tools into data and software engineering workflows, including development assistance, metadata enrichment, automated documentation, and intelligent data-quality tooling.
Experience with AI or LLM-enabled data platforms, natural-language-to-SQL, semantic retrieval, knowledge graphs, ontologies, semantic views, or agentic data engineering workflows is an asset.

Competencies & Behaviours

Ownership & Accountability - Takes end-to-end responsibility for production data pipelines, platform components, engineering quality, and resolution of risks or failures.
Architecture & Technical Judgement - Makes practical, forward-looking decisions that balance scalability, reliability, maintainability, data quality, delivery needs, and long-term platform direction.
Communication - Translates business requirements and complex data concepts into clear models, technical decisions, documentation, and guidance for technical and non-technical stakeholders.
Collaboration & Mentorship - Builds effective relationships across engineering, analytics, data science, Product, and business teams and raises team capability through practical coaching and knowledge sharing.
Innovation & Responsible AI - Explores new tools and AI-assisted approaches thoughtfully, validates their value, and applies appropriate review, governance, quality, and security controls.
Attention to Detail - Applies a disciplined approach to modelling, transformation logic, testing, metadata, semantic definitions, documentation, and production changes.

Apply About employer

More about this job

Responsibilities

Design, build, and operate scalable data platform components, production pipelines, transformation layers, data models, and semantic layers that support analytics, reporting, and AI-enabled applications. Set engineering standards, improve data quality and observability, evaluate responsible AI-assisted engineering approaches, and provide technical direction and mentorship while partnering with business and technical teams.

Requirements

Requires post-secondary education with a degree in Data Engineering and at least five years of progressive data engineering experience, including end-to-end ownership of production pipelines. Candidates should have expert SQL, strong Python, deep dbt experience, data modeling and cloud data platform expertise, and familiarity with engineering practices, data quality, and responsible AI-assisted tools.

Skills

SQL
Python
dbt
Jinja
Data Pipeline Engineering
Medallion Architecture
Dimensional Modeling
Semantic Layers
Cloud Data Warehousing
Data Quality and Observability
CI/CD
Git
Data Governance
AI-Assisted Engineering
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Jinja
dbt Core
dbt Cloud
Medallion Architecture
Bronze-Silver-Gold Architecture
Dimensional Modeling
Slowly Changing Dimensions
Semantic Layers
Snowflake
BigQuery
Databricks
Redshift
AWS
Azure
GCP
Airflow
Dagster
Prefect
Snowflake Tasks
Terraform
CI/CD
Git
Data Quality
Data Observability
Data Governance
Metadata Management
Natural-Language-to-SQL
LLMs

Report this job