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Added 13 mins ago
Director, Patient Access & Channel Strategy
Inctye
Montreal, QC · Ville St. Laurent, Quebec
At Incyte Canada, we are looking for an Associate Director / Director, Patient Access & Channel Strategy to strengthen those connections across oncology, hematology, immunology and…
Added 13 mins ago
JC
Quality Manager (12-16 month contract)
JANA Corporation
Aurora, ON · Greater Toronto (Aurora), Ontario
- Contract
Reporting to the Strategy Director, JANA’s Quality Manager is responsible for developing and maintaining a robust quality management system, overseeing audits, conducting quality incident…
Added 13 mins ago
UO
Systems Administrator & Business Analyst
University of Niagara Falls Canada
Niagara Falls, ON
- $90,000 to $110,000 CAD / year
- Full-time
…sets. As a Systems Administrator, the incumbent keeps Colleague and its connected systems secure, reliable and well-maintained - owning configuration, upgrades, access, monitoring, backups…
Added 13 mins ago
HI
Intermediate Data Analyst
HRbrain Inc.
Toronto, ON
- Full-time
Business group: Technology Program Management & Transformation – team that manages cloud data integration and governance for IB, providing efficient and standardized solutions that enable…
Added 13 mins ago
S
Go-to-Market Leader, Transformation - Toronto
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Transformation Go-To-Market Director in Toronto, you’ll connect Slalom’s Transformation strategy with market and regional priorities. You’ll partner with Transformation leaders, Client…
Added 28 mins ago
A-
Manager, Community Platform Operations
AMA - Alberta Motor Association
Edmonton, AB · Administration Centre
- Full-time
As Manager, Community Platform Operations, you’ll help build a safer, more trusted experience across AMA Marketplace and AMA Community. Reporting to the Director, Marketplace Exchange,…
Added 28 mins ago
T
Art Director - Thinkingbox
Thinkingbox
Toronto, ON
- Full-time
We’re looking for a talented and conceptually-driven Art Director to join our creative team, leading work across digital and experiential campaigns. You’ll help concept and shape creative…
Added 58 mins ago
T
CAD Specifier, Architectural Interiors
Teknion
Toronto, ON
- Full-time
Provide product application solutions including specials by conferring with the Specials team, Product Design, Engineering and all required parties.
Added 58 mins ago
N
Associate Design Director | Directeur(trice) Design Associé(e)
NBCUniversal
Montreal, QC
- Full-time
As an Associate Design Director, you will support the Design Director in driving the execution, alignment, and day-to-day coordination of the project’s design vision across pillars and…
Added 58 mins ago
IE
Manager, Supply Chain & Innovation
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
The Manager, Supply Chain Analytics & Innovation reports to the Senior Director, Supply Chain Operations and partners with Supply Chain leaders to identify, design and implement…
Added 58 mins ago
JC
Quality Manager (12-16 month contract)
JANA Corporation
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Reporting to the Strategy Director, JANA’s Quality Manager is responsible for developing and maintaining a robust quality management system, overseeing audits, conducting quality incident…
Added 1 hour ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
Reporting to the Director of Engineering, you will work closely with Product Management, Design, Development, Quality Engineering, and Site Reliability Engineering to design, build, and…
Added 1 hour ago
P
Director, Global Services Operations & Excellence
Prosci
Remote, Canada
- Full-time
- Remote
…creation of the ADKAR® Model, we’ve helped countless people and organizations thrive. Our solutions empower customers with lasting change resiliency through a unique blend of training,…
Added 1 hour ago
Director, Technical Solutions (Enterprise Application Integrations)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
The Director, Technical Solutions – Enterprise Application Integrations will lead teams responsible for designing and delivering the integration capabilities that connect our applications,…
Added 1 hour ago
A
Ecosystem Business Development Director -Cybersecurity
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
You'll be immersed in the design and implementation of human-centric solutions to help solve complex challenges with some of the world’s largest companies.
Added 1 hour 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 1 hour ago
O
Associate Designer, Pension Communications (18 Months Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
The Associate Designer, Pension Communications will report to the Associate Director, Pension Communications, and work closely with the Design team.
Added 2 hours ago
People and Culture (HR) Partner
Canadian Museum for Human Rights
Winnipeg, MB
Assesses divisional and individual learning and development needs; design, implement, facilitate, and evaluate HR programs, initiatives, and training solutions that support strategic…
Added 2 hours ago
VD
Director Data Platform Governance
VDart Digital
Toronto, ON
- Full-time
The Director works in close alignment with Business Transformation Data Governance through a shared agenda, agreed priorities, and clear ownership boundaries. Business Transformation Data…
Added 2 hours ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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…
Added 2 hours ago
D
Sales Manager - Home Envelope Products
Dakwakada
Whitehorse, YT
- Full-time
Working closely with the President and, when appointed, the Director of Sales & Marketing, the Sales Manager translates sales objectives into practical operating processes, establishes…
Added 2 hours ago
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Director, Capital Markets - Capital Allocation & Management
BMO
Toronto, ON · FCP
- Full-time
The Director, Financial Resource and Risk Integration help lead the translation of CAM's capital and resource framework into financial decision-making, with a focus on consistent financial…
Added 2 hours ago
P
Accounting Operations Specialist - payables
PixMob
Montreal, QC
- Full-time
We work with international artists, event organizers, sports teams, and brands to make every event extra special. At PixMob, innovation and design are in our DNA. From rapid prototyping to…
Added 2 hours ago
G
Sales Director
Gordian
Canada
- Full-time
Gordian is the world’s leading provider of facility and construction cost data, software and services for all phases of the building lifecycle. A pioneer of Job Order Contracting (JOC),…
Added 2 hours ago
NW
Sales Manager
Northerm Windows & Doors
Vancouver, BC
- $90,000 to $100,000 CAD / year
- Full-time
Working closely with the President and, when appointed, the Director of Sales & Marketing, the Sales Manager translates sales objectives into practical operating processes, establishes…

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

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