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Added 11 mins ago
IG
Digital Product Manager
Insight Global
Toronto, ON
- $70 to $78 CAD / hour
- Contract
…ensuring successful partner and technology integration with the platform. This role will be 20% strategic roadmap development and requirement gathering, and 80% agile delivery. You will…
Added 11 mins ago
HI
Product Owner ( Spanish Speaker )
HRbrain Inc.
Toronto, ON
- Full-time
…Customer Relationship Management (CRM) technology (iCRM, Sales Platform, Salesforce), and campaign/portfolio management technology. The incumbent will work in close partnership with teams…
Added 12 mins ago
TT
Software Architect
trane technologies
Montreal, QC
- Full-time
You'll get to build the brains behind smarter buildings. As a Software Architect, you'll lead the design and development of the backend services that power our Cloud-based Building…
Added 1 hour ago
V
Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
…organizations across the globe. Our mission is to help businesses lead with insight at scale as they continuously…
Added 1 hour ago
S
Account Executive
SamSearch
Canada
- Full-time
SamSearch is an AI platform that helps companies find and win government contracts. We bring opportunity discovery, market intelligence, proposal tools, and pipeline management into one…
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
C
Customer Success Manager - Enterprise
Caribou
Remote, Canada
- $80,000 to $95,000 CAD / year
- Full-time
- Remote
…workforce and the agentic layer for home care operations. Our platform interfaces with office staff and front-line caregivers to facilitate meaningful recognition, stronger relationships,…
Added 2 hours ago
R
Senior Full Stack Engineer (Rails & React)
REW
Vancouver, BC
- Full-time
Senior Full Stack Engineer (Rails + React)We’re seeking a highly skilled Full Stack Software Engineer with deep expertise in Ruby on Rails and React.
Added 2 hours ago
M
Account Executive, Data Collection and Traffic Studies
Miovision
Remote, Canada
- Full-time
- Remote
Proposal Leadership: Lead the coordination and development of standard RFP and RFI responses to secure Miovision as the preferred vendor.
Added 2 hours ago
R
Associate Director, Liquidity & Funding Product Owner
RBC
Toronto, ON
- Full-time
Lead the vision, strategy, and development of liquidity/funding management products within the Funding, Liquidity & Payment Services portfolio.
Added 2 hours ago
TI
Salesforce Data Cloud Developer
Themesoft Inc.
Toronto, ON
- Contract
Salesforce Data Cloud Architecture & Development
Added 2 hours ago
Y
Lead Enterprise Architect (MarTech / eCommerce / Promotions)
Yochana
Canada
- Contract
8+ years in digital experience or MarTech platforms, including 3+ years in an architect or technical lead role.
Added 2 hours ago
TG
Senior Manager, Applications and Engineering
TMX Group
Toronto, ON
- Full-time
Vendor & Team Leadership: Demonstrated expertise supervising multidisciplinary squads, managing third-party software vendors, and steering offshore/contract development teams.
Added 2 hours ago
C
Senior Java Developer - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking for a “Technology Lead Analyst" to join our team; this is a senior role responsible for overseeing the design and implementation of new or enhanced application systems in…
Added 2 hours ago
AVP IT Delivery
Aviva
Markham, ON
We are looking for a highly motivated AVP, IT Delivery Lead who possesses both business and technical savvy. The selected candidate will support the team and work to achieve results within…
Added 2 hours ago
D
Product Lifecycle Manager
Danica
Vancouver, BC
- Full-time
…effectively using it as a PLM (Product Lifecycle Management) platform. Regularly update task assignments, track deliverables, and configure workflows to reflect the specific needs of our…
Added 2 hours ago
GR
Technical Sales & Market Development Manager – Canada
Go RH
Montreal, QC
- Full-time
The organization is looking for a National Business Development Director to drive market expansion outside Quebec.
Added 2 hours ago
F
Chief Revenue Officer (CRO) & Co-founder - AI for Small Law Firms
FutureSight
Canada
- Full-time
Unlike self-serve software, BloomLex is fully managed. We configure, deploy, monitor, and continuously improve the AI workforce for each firm. Our customers evaluate us on outcomes - calls…
Added 2 hours ago
F
Technical Co-founder - AI for Automotive Retail
FutureSight
Canada
- Full-time
…lines of production code), set the technical direction, and lead execution…
Added 2 hours ago
TG
Senior Manager, Applications and Engineering
TMX Group
Toronto, ON
- Full-time
Vendor & Team Leadership: Demonstrated expertise supervising multidisciplinary squads, managing third-party software vendors, and steering offshore/contract development teams.
Added 2 hours ago
F
Co-Founder & CEO - AI Communication Agents for Freight & Logistics
FutureSight
Canada
- Full-time
Customer Development - Lead pilots with mid-sized to enterprise freight brokerages, convert them to paid engagements, and build the go-to-market motion targeting Heads of Logistics, Supply…
Added 2 hours ago
F
Co-Founder & CEO - AI-Native Accounting Roll-Up
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead Ledgerline, an AI-native accounting roll-up. This is a co-founder partnership with meaningful founder equity, not a salaried executive role.
Added 2 hours ago
F
Co-Founder & CEO - AI-Native Accounting Roll-Up
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead Ledgerline, an AI-native accounting roll-up. This is a co-founder partnership with meaningful founder equity, not a salaried executive role.
Added 2 hours ago
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 2 hours ago
F
Co-Founder & CEO - AI Content Intelligence for Professional Services
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead an AI-native content intelligence and publishing venture. This is a co-founder partnership with meaningful founder equity, not a salaried…

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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