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Added 12 mins ago
FG
Laline - Part Time Shift Lead - Vaughan Mills
Fox Group Canada Inc.
Vaughan, ON
- Part-time
…retailor and partner of choice to operate several well-known retail banners in Israel, Europe, and Canada - is excited to announce that we are working towards being the number one leading…
Added 12 mins ago
SR
Wireless Sales Consultant
Staples Retail
Sault Ste. Marie, ON
- Full-time
Help customers by meeting and exceeding their needs. Be an expert with our product and services. Reconnect and follow up with customers to solicit feedback on sales; promote additional…
Added 12 mins ago
SC
Wireless Sales Consultant
Staples Canada
Mississauga, ON
- Full-time
Help customers by meeting and exceeding their needs. Be an expert with our product and services. Reconnect and follow up with customers to solicit feedback on sales; promote additional…
Added 13 mins ago
MB
Retail Operation Manager
Moosehead Breweries
Saint John, NB
- $80,000 to $90,000 CAD / year
- Full-time
We are currently seeking a 'Retail Operations Manager'. Reporting directly to the Vice President of Sales & Partnerships, this person will oversee operations of two retail stores, in…
Added 27 mins ago
S
Retail Key Holder
Skechers
Markham, ON
- Part-time
As a Key Holder, better known as a “Floor Leader,” at Skechers, you’ll take on an essential Retail Leadership Role, contributing to store operations and mentoring your team to deliver…
Added 27 mins ago
R
Hardware and Tools, Sales Specialist
RONA
Vaudreuil-Dorion, QC
- Full-time
Become the expert our customers need to make their projects a reality! Thanks to your expertise and passion, you'll turn every interaction into a memorable experience, while developing your…
Added 27 mins ago
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Seasonnal, Sales Specialist
RONA
Vaudreuil-Dorion, QC
- Full-time
Become the expert our customers need to make their projects a reality! Thanks to your expertise and passion, you'll turn every interaction into a memorable experience, while developing your…
Added 27 mins ago
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Paint, Sales Specialist
RONA
Vaudreuil-Dorion, QC
- Full-time
Become the expert our customers need to make their projects a reality! Thanks to your expertise and passion, you'll turn every interaction into a memorable experience, while developing your…
Added 42 mins ago
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Director, Cash Management
RBC
Toronto, ON
- Full-time
…management operations supporting RBC's global Capital Markets and Retail nostro accounts. The role combines deep technical expertise in intraday liquidity risk management with leadership…
Added 57 mins ago
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Senior Personal Banker - Investing Networking Event
TD
Airdrie, AB · Calgary, AB
- Full-time
Ask thoughtful questions to uncover and understand Customer needs, owning solutions that align to mandate and bringing in an expert for needs outside of capability
Added 57 mins ago
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Senior Personal Banker - Home Borrowing Trainee Networking Event
TD
Airdrie, AB · Calgary, AB
- Full-time
Ask thoughtful questions to uncover and understand Customer needs, owning solutions that align to mandate and bringing in an expert for needs outside of capability
Added 58 mins ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience in a loyalty, retail, financial services, or other data-intensive environment is an asset.
Added 58 mins ago
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Protein Category Manager
Brunel
NS · Nova Scotia, Canada
- Full-time
Serve as the protein subject-matter expert for sales teams, participating in client meetings and business reviews.
Added 1 hour ago
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Supervisor (Full Time)
Carters Inc.
St. Thomas, ON
- Full-time
Become a product and brand expert of our brands to help families navigate every moment from preemie to size 14
Added 1 hour ago
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Sales Director
Gordian
Canada
- Full-time
Develop and maintain expert-level knowledge of Gordian solutions and competitive positioning in the market.
Added 1 hour ago
Customer Experience Associate - Yonge & Hillcrest, Toronto, ON (18.75 hours/week)
Scotiabank
Toronto, ON · North York, ON
Being a technology expert and sharing your knowledge by introducing clients to our mobile banking applications and assisting them to better manage their banking needs
Added 1 hour ago
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OCS
ON · Essex, ON
- Full-time
…join our dynamic HR team. This role is pivotal in providing expert guidance and support on a broad range of ER matters, ensuring legal compliance, consistency, and best practice across the…
Added 1 hour ago
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Client Engagement Associate [Hourly]
CIBC
Hamilton, ON · London, ON · Eastgate Square - Hamilton
- Part-time
Leveraging technology - Become a technology expert. Share your knowledge by introducing clients to our mobile banking applications, helping them to better manage their banking needs.
Added 2 hours ago
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Digital Merchandiser & Graphic Designer - Petcare (Canada)
Mars
Bolton, ON · BOL-Mars Canada Inc.
- Full-time
The successful candidate will be responsible for maintaining a best-in-class digital shelf presence across key retail partners, including Amazon, Walmart, PetSmart, Instacart, etc.…
Added 2 hours ago
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Aerie - Sales Leader (Full-Time)
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Vancouver, BC
- Full-time
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Added 2 hours ago
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Bilingual Lease Analyst (FR/ENG)
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Toronto, ON
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Advisor, Last Mile Optimization Ontario
Metro Inc.
Toronto, ON · Etobicoke, ON
- Full-time
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Financial Advisor - Yorkdale Shopping Centre, North York, ON (37.5 hours/week)
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Educating our customers, providing relevant insights and expert advice
Added 2 hours ago
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Customer Service Representative (Motivator) - Burnaby Northgate
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Exchange Solutions

Senior Data Engineer

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

Full-time

Apply About employer

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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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