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Added 8 mins ago
JH
AI/ML Engineer
JAVA Holdings Ltd.
Remote, Canada
- Full-time
- Remote
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the…
Added 8 mins ago
P
Technical Director
Parallelz
Remote, Canada
- Full-time
- Remote
AI is central to how we work. Every engineer pairs with capable agents, and agentic workflows run through how we triage, build, review, ship and operate. Our team and advisors include…
Added 8 mins ago
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
We're looking for a Staff Engineer for our Messaging Experience team, responsible for building, maintaining, and evolving Canvas, our flagship product. That means supporting the…
Added 8 mins ago
Engineering Analyst, Nuclear Industry
BWXT
Cambridge, ON
Select and apply engineering techniques to solve problems and provide design recommendations with guidance from a senior engineer or supervisor.
Added 8 mins ago
X
Photonics Test Engineer
Xanadu
Toronto, ON
- Contract
Added 8 mins ago
S
Senior Software Developer
Soni
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
This is an excellent opportunity for a passionate engineer who enjoys technical ownership, continuous learning, and driving innovation in a collaborative environment.
Added 8 mins ago
P
Technical Director
Parallelz
Toronto, ON
- Full-time
AI is central to how we work. Every engineer pairs with capable agents, and agentic workflows run through how we triage, build, review, ship and operate. Our team and advisors include…
Added 8 mins ago
B
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
- Full-time
We're looking for a Staff Engineer for our Messaging Experience team, responsible for building, maintaining, and evolving Canvas, our flagship product. That means supporting the…
Added 23 mins ago
X
Engineer - Payments
Xero
Remote, Canada
- $131,800 to $150,000 CAD / year
- Full-time
- Remote
Added 23 mins ago
CI
Manager, RF Systems Engineering
Calian in Space & Technology
Saskatoon, SK
- Full-time
Eligibility for Professional Engineer registration in Canada is considered an asset
Added 23 mins ago
US
Software Engineer (Core Java, Market Risk)
United Software Group Inc
Montreal, QC
- Contract
We’re looking for an Applied AI Engineer to join a market risk engineering squad. You’ll build and support core components of a Market Risk platform in Core Java, use AI tools to power…
Added 23 mins ago
Y
Developer / QE Automation Engineer
Yochana
NS · Nova Scotia, Canada
- Contract
Job Title: Developer / QE Automation Engineer
Added 38 mins ago
Staff Engineer, Atlas Agent Engine
MongoDB
Toronto, ON · ON · QC
We are seeking a Staff Engineer to join our growing team to provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build…
Added 38 mins ago
NP
SCADA Engineer
Northland Power Inc.
Toronto, ON
- Full-time
The SCADA Engineer, Operations supports the reliable, secure, and effective operation of SCADA, control, telemetry, and related systems across Northland's North American wind, solar, and…
Added 38 mins ago
UO
Electrical Engineer (Robotics)
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
As an Electrical Engineer at ReCAST Robotics, you will own electrical system design decisions - evaluating architectural trade-offs, selecting components and sensor/actuator interfaces, and…
Added 38 mins ago
JH
AI/ML Engineer
Java Holdings Ltd
AB · Edmonton, AB
- Full-time
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the…
Added 38 mins ago
WT
Senior Java Software Engineer
Wissen Technology
Montreal, QC
- Full-time
Added 53 mins ago
M
Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Full Stack Engineer, you will build and maintain applications that customers and advisors rely on. Working alongside an experienced team, you will contribute across the full technology…
Added 1 hour ago
BT
Senior Software Developer
Botpress Technologies Inc.
Remote, Canada
- Full-time
- Remote
5+ years of experience as a Software Engineer, ideally in a fast-paced product environment
Added 1 hour ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 1 hour ago
AM
Mechanical Project Engineer
Arrow Machine And Fabrication Group
Stratford, ON
- Full-time
A Mechanical Project Engineer oversees the planning, execution, and successful completion of engineering projects in the nuclear & agriculture industries as well as other industries. Their…
Added 1 hour ago
MT
Manufacturing Engineer
Modern Technical Staffing Inc.
Guelph, ON
- $90,000 to $105,000 CAD / year
- Full-time
Our client in Guelph is looking for a Manufacturing Engineer. They are seeking someone who has been employed as a Manufacturing or Process Engineer with a low volume, high mix, CNC…
Added 1 hour ago
PG
Senior Application Security Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
Added 1 hour ago
N
Senior Systems Engineer - Traffic Management
Nubank
Toronto, ON
- Full-time
Added 1 hour ago
AI Security Engineer, AWS Security - AISec
Amazon
Vancouver, BC · NS
Amazon is looking for an AI Security Engineer with strong insight and passion for security to ensure our AI applications are designed and built to the highest standards. Your mission is to…

Exchange Solutions

Senior Data Engineer

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

Full-time

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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.

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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

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