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Added 6 mins ago
Senior Specialist, Cloud Infrastructure Operations Engineering
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Join the Technology and Business Transformation team in the Senior Specialist, Cloud Infrastructure Operations Engineering position. In this position, you will be responsible for…
Added 7 mins ago
IE
Manager, Supply Chain & Innovation
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
…identify opportunities to simplify and standardize operations and lead the development and implementation of improved processes, dashboards, reporting tools and practical automation…
Added 7 mins ago
A
Project Manager/Leader - Senior
Akkodis
Toronto, ON
- Contract
A hands-on project manager who has lead multiple large ERP ($5M+) projects
Added 7 mins ago
B
Senior Engineering Manager, Messaging Experience
Braze
Toronto, ON
- Full-time
We are looking for a Senior Engineering Manager to lead the MX team. Canvas and Campaigns are where every Braze customer spends most of their time in the product, so the quality of this…
Added 21 mins ago
TG
Project Manager (12 Months Contract)
TMX Group
Toronto, ON
- $100 to $120 CAD / hour
- Full-time
Experience with projects involving various solutions including in-house development, third party applications, on premise and cloud platforms
Added 22 mins ago
Associate Dean, Research & Collections, Library
University of Saskatchewan
Saskatoon, SK
…Serving as the liaison to the Information and Communications Technology group assigned to the Library, the incumbent establishes the organization’s needs and…
Added 22 mins ago
K
Manager, Supply Chain Transformation
KPMG
Montreal, QC
- Full-time
Lead and manage multidisciplinary teams composed of consultants, business specialists, technology specialists, and client representatives.
Added 22 mins ago
K
Senior Consultant, Procurement Transformation
KPMG
Montreal, QC
- Full-time
We are looking for a senior analytical consultant who is versatile and results-oriented to join our Supply Chain Transformation team.
Added 52 mins ago
BT
Senior Software Developer
Botpress Technologies Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Software Developer at Botpress, you’ll be at the forefront of developing innovative solutions that drive the future of conversational AI. As a senior member of the engineering…
Added 52 mins 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 52 mins ago
08 - Operations Engineering Specialist
Celestica International LP
Toronto, ON
Senior commodity engineer with extensive experience in managing electronic component quality. Applicant must have experience working directly with suppliers to drive quality improvement…
Added 1 hour ago
Bilingual Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Bilingual Senior Specialist, Software Engineering (CI/CD & Automation Engineering) position, where you’ll work closely with the Platform…
Added 1 hour ago
S
Project Coordinator, Clinical Informatics
Sanya’k̓ula
Vancouver, BC
- Full-time
…The Project Coordinator is actively involved in the planning, development, implementation, and evaluation of projects, and maintains primary project coordination responsibility. Supports…
Added 1 hour ago
M
Senior Manager, Regional Control
Metrolinx
Oakville, ON
- Full-time
Issue Tier One enterprise communications and lead Critical Incident Briefs to provide situational updates, obtain senior leadership direction, and communicate decisions to Incident Command…
Added 1 hour ago
S
Senior Principal, Transformation Management
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Senior Principal in Transformation Management at Slalom, you will provide executive-level leadership for complex, enterprise-scale transformations, primarily serving Financial Services…
Added 1 hour 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 1 hour ago
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Senior Software Developer
Botpress
Montreal, QC
- Full-time
As a Senior Software Developer at Botpress, you'll be at the forefront of developing innovative solutions that drive the future of conversational AI. As a senior member of the engineering…
Added 1 hour ago
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Senior Python Test Automation Engineer
Telesat
Ottawa, ON
- Full-time
We are seeking a senior Python Automation Engineer to design, build, and maintain scalable test automation frameworks for distributed, event-driven applications. This is a hands-on…
Added 1 hour ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…responsible for designing, engineering, and enabling secure technology solutions that protect Aritzia’s systems and data, reduce cybersecurity risk, and enable the business to operate and…
Added 1 hour ago
U
Dean of Lifelong Learning
UNSW
Montreal, QC
- Full-time
…opportunities, portfolio performance, customer needs, partnership development and innovative delivery models. The Dean is responsible for ensuring UNSW maintains a competitive, scalable and…
Added 1 hour ago
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Sales Director
Gordian
Canada
- Full-time
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and…
Added 1 hour ago
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Senior Business Analyst
TEEMA
Vancouver, BC
- $53 to $57 CAD / hour
- Contract
Seeking an experienced Senior Business Analyst to support complex enterprise IT initiatives involving business applications, data integration, reporting, analytics, and cloud-based…
Added 1 hour ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…responsible for designing, engineering, and enabling secure technology solutions that protect Aritzia’s systems and data, reduce cybersecurity risk, and enable the business to operate and…
Added 2 hours ago
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Lead Substation Engineer 2 - Grid
Sargent & Lundy
Calgary, AB
- Full-time
This position will offer you the ability to directly apply your knowledge of protective relaying and controls systems for HV and EHV substations. As a Lead Substtion Engineer, you will:
Added 2 hours ago
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Senior Relationship Manager Agriculture, Commercial Financial Services
Royal Bank of Canada
Steinbach, MB · MB · PEMBINA, Manitoba
- Full-time
…to deliver solutions specific to individual needs. This is a senior role in which your highly developed experience with financial analysis, credit, and client acquisition relationship takes…

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.

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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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