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Added 7 mins ago
VE
Spécialiste mise en route / Commissioning Specialist
Veolia Environnement SA
Montreal, QC
- Full-time
Take responsibility for and understand the treatment process design, and recommend solutions to engineering problems
Added 7 mins ago
OP
Manager, Engineering and System Planning
Oshawa Power
Oshawa, ON
- Full-time
Reporting to the Vice President, Engineering & Operations, the Manager, Engineering & System Planning will provide strategic and technical leadership in the planning, design,…
Added 7 mins ago
AS
Electrical Engineer
Alliance Search Partners
Mississauga, ON
- Full-time
Our Customer is seeking an experienced MV/HV & Substation Engineering Program & Team Leader to lead and scale our portfolio of medium-voltage (MV), high-voltage (HV), substation, protection…
Added 7 mins ago
IE
Manager, Supply Chain & Innovation
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
…the information and visibility required to effectively manage operations and make timely decisions. Lead the design and implementation of dashboards, scorecards, exception reporting and…
Added 7 mins ago
CH
Senior Data Warehouse Developer
Calgary Homeless Foundation
Calgary, AB
- Full-time
…accuracy of all organizational information assets and associated systems. The Senior Data Warehouse Developer will design, maintain the warehouse including cloud based automation,…
Added 22 mins ago
M
Senior Project Enablement Lead
McKesson
Mississauga, ON
- Full-time
The Senior Project Enablement Lead supports high-impact transformation work across HR Services, Workforce Experience, product and service teams. You will bring structure to cross-functional…
Added 22 mins ago
Product Owner - Netsuite
Asana
Vancouver, BC
Work closely with cross-functional teams, including finance, operations, and Enterprise Technology, to ensure seamless integration with other business systems and processes.
Added 22 mins ago
NP
SCADA Engineer
Northland Power Inc.
Toronto, ON
- Full-time
…commissioning activities for SCADA/HMI, historian, and telemetry systems in order to gain operational knowledge of the facility in order to ensure a smooth transition to operations.…
Added 22 mins ago
K
Senior Consultant, Procurement Transformation
KPMG
Montreal, QC
- Full-time
Facilitate or support process design workshops with sales, operations, finance, technology, and supply chain teams.
Added 22 mins ago
UO
Experienced Structural Analysis Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
…a wide range of engineering tasks related to the analysis, design, and evaluation of structural components and systems, ensuring compliance with NR program and safety standards. This role…
Added 22 mins ago
AC
Business Analyst
Access Communications Cooperative Limited
Regina, SK
- Full-time
…identifies opportunities to improve business processes, streamline operations, enhance productivity, and strengthen organizational effectiveness. On behalf of the CFO, the Business Analyst…
Added 22 mins ago
UV
Plant Layout Engineer/ Specialist
UP Vertical Farms
BC · British Columbia, Canada
- Full-time
We are seeking a dynamic and detail-oriented Plant Layout Engineer/Specialist to optimize the design and arrangement of UP Vertical Farms food manufacturing facility. In this role, you will…
Added 22 mins ago
AS
Director of Information Technology
Athletica Sport Systems Inc.
Kitchener, ON
- $120,000 to $150,000 CAD / year
- Full-time
Athletica Sport Systems Inc. is a global leader in the design, manufacturing, and installation of dasher board and arena systems, and the Preferred Rink Equipment Supplier of the NHL® and…
Added 22 mins ago
MP
Guidewire Development Manager
Michael Page
Markham, ON
- $130,000 to $150,000 CAD / year
- Full-time
…and maintenance of Guidewire solutions to support business operations. You will lead a team of developers, ensuring the successful delivery of projects and providing technical guidance to…
Added 22 mins ago
FE
Senior System Specialist (Cloud)
Future Electronics
Kirkland, QC
- Full-time
The Senior Cloud Infrastructure Specialist is responsible for the design, implementation, and evolution of Future’s enterprise cloud ecosystem, with a primary focus on Microsoft Azure and…
Added 37 mins ago
C
Manufacturing Automation Manager/Team Leader
Ciena
Ottawa, ON · Quebec, QC
- $146,600 to $234,200 CAD / year
- Full-time
Expérience de soutien aux opérations manufacturières en Asie, incluant une collaboration directe avec des fabricants sous contrat
Added 37 mins ago
M
Senior Manager, Commercial Management – Ontario Line
Metrolinx
Canada
- Full-time
…guideway Stations (EGS) Ontario Line subway project. You will lead and provide oversight of commercial governance and decision-making including coordination across the corporation, provide…
Added 37 mins ago
FG
Laline - Part Time Shift Lead - Vaughan Mills
Fox Group Canada Inc.
Vaughan, ON
- Part-time
The Part-Time Team Lead plays a key role in driving sales, delivering exceptional customer experiences, and supporting store leadership in daily operations. This role is hands-on and…
Added 37 mins ago
HP
Lead Mechanical Engineer
HOCS Projects
Calgary, AB
- Full-time
…industry. We deliver dependable, innovative and responsible design solutions, with constructability and operability considered from project start through fabrication, construction and…
Added 52 mins ago
Lead Track Engineer and Team Leader
GHD Group Pty Ltd
Vancouver, BC
We’re looking for a Senior Track Designer – Team Leader to join our growing Canadian Operations. This position will be based in our Vancouver, Edmonton, or Calgary office. This role…
Added 52 mins ago
Test and Design Specialist
National Research Council Canada
Montreal, QC
We are looking for an intermediate-career Test and Design Specialist to support advanced research and development and join the Remotely Piloted Aircraft Systems (RPAS) and RPAS Traffic…
Added 52 mins ago
P
Director, Global Services Operations & Excellence
Prosci
Remote, Canada
- Full-time
- Remote
In this role, you will build and lead Prosci's new Global Services Operations & Excellence team: the operational engine behind our training and advisory delivery worldwide and the owner of…
Added 52 mins ago
08 - Operations Engineering Specialist
Celestica International LP
Toronto, ON
Knowledge of design engineering (e.g., analog circuit design, digital circuit design, digital integrated circuit design, etc.) for systems and printed circuit boards.
Added 52 mins ago
MS
Senior Plant Process Engineer
ML6 Search + Talent Advisory
Saskatoon, SK
- Full-time
…Process Engineer to help improve safe, reliable and efficient operations at one of its manufacturing…
Added 52 mins ago
Sr. Specialist - Embedded Software Developer
L3Harris Technologies
ON · Waterdown, ON
Design, develop and maintain Yocto/OpenEmbedded layers, recipes, images and root filesystems for complex electro-optical surveillance systems, including custom BSP and distribution…

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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