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Added 12 mins ago
CT
AVP, Delivery Excellence & Transformation
Canadian Tire Corporation
Toronto, ON
- Full-time
The AVP, Delivery Excellence & Transformation sets the strategy for how Technology plans, resources and delivers work, bringing together program and project management, Agile practices and…
Added 27 mins ago
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Workday FINs Quote to Cash / Professional Service Automation Lead
Accenture
Calgary, AB · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
We are Accenture, a global professional services company, searching for a Workday Financials Quote to Cash / Professional Service Automation Lead.
Added 27 mins ago
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Local Technical Support Analyst
Accenture
Vancouver, BC
- Full-time
…services, data center, digital workplace and operating model IT transformation challenges. We create predictability for technology intensive environments by applying proven engineering…
Added 27 mins ago
MU
Director Enterprise Technology Architecture
McGill University
Montreal, QC
- Full-time
…Senior Director, IT Governance & Strategic Planning (GSP) to lead the enterprise technology architecture strategy and roadmap, leading enterprise-wide architecture integration, architecture…
Added 42 mins ago
Fullstack Java Developer
Capgemini
Toronto, ON
Lead design and development of enterprise full-stack applications.
Added 42 mins ago
T&
Director, Capital Investment & Decision Support
Turner & Townsend
Vancouver, BC
- Full-time
The Director, Capital Investment & Decision Support will lead and grow AMCL’s Capital Investment & Decision Support capability, working with asset-intensive organizations to improve how…
Added 58 mins ago
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Senior Principal, Transformation Management
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Working across Transformation Architects, Cloud and AI technologists, change leaders, account teams, and client executives, you will bring the judgement, commercial perspective, and…
Added 58 mins ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…parts of the data platform, including production pipelines, transformation layers, data models, semantic layers, data quality, observability, and engineering standards. It provides…
Added 1 hour ago
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Business Intelligence (BI) Data Engineer
Semex
Guelph, ON
- Full-time
…Information Technology team. Reporting to the Data Platform Lead, this role will be responsible for designing, developing, testing and supporting Semex's modern data, analytics and business…
Added 1 hour ago
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Sales Director
Gordian
Canada
- Full-time
Oversee the entire sales process, including lead generation, territory planning, deal qualification, strategy, evaluation, closing, and account management.
Added 1 hour ago
T&
Director, Capital Investment & Decision Support
Turner & Townsend
Vancouver, BC
- Full-time
The Director, Capital Investment & Decision Support will lead and grow AMCL’s Capital Investment & Decision Support capability, working with asset-intensive organizations to improve how…
Added 1 hour ago
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Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
…where intelligent tools support better outcomes while people lead the decisions that…
Added 1 hour ago
Solution Architect
PCL Construction
Edmonton, AB
…success, and that shared commitment drives how we work, grow and lead in the construction…
Added 1 hour ago
OT
Principal Product Manager
Open Text Corporation
Waterloo, ON
- Other
…and contribute to projects that shape the future of digital…
Added 1 hour ago
EP
Accounting Manager
Elby Professional Recruitment
Kitchener, ON
- $90,000 to $110,000 CAD / year
- Contract
…also play an important role in supporting a major technology transformation project, gaining valuable exposure to process improvements and strategic financial…
Added 1 hour ago
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Amazon Connect Developer / Designer
Genpact
Toronto, ON
- Full-time
Lead AI-first transformation – Build and scale AI solutions that redefine industries
Added 1 hour ago
GL
Senior Project and Change Manager, ERP/WMS
Gay Lea Foods
Toronto, ON · Etobicoke, ON
- Full-time
Gay Lea Foods is seeking an experienced Senior Project and Change Manager to lead the delivery and organizational adoption of DairyLink, a major enterprise transformation implementing a…
Added 1 hour ago
Senior Manager, Strategic Initiatives (Underwriting/ Personal Lines)
Aviva
Markham, ON · Toronto, ON
Lead cross-functional projects and strategic initiatives that drive business performance and transformation.
Added 1 hour ago
AS
Senior Solution Architect – AWS / .NET / Angular / React
Aequilibrium Software Inc.
Remote, Canada
- Contract
- Remote
This opportunity offers the chance to lead the technical architecture of a high-impact public-sector platform, influence cloud technology decisions, and collaborate with experienced…
Added 2 hours ago
Consultant SAP SuccessFactors
Syntax
Montreal, QC
…d’entreprise complexes grâce à une expertise approfondie en SAP, à la transformation cloud, à l’automatisation et à l’innovation pilotée par l’IA. Dans le cadre de notre croissance…
Added 2 hours ago
HR
Life Cycle Support Analyst
Hitachi Rail
Toronto, ON
- Full-time
…of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways…
Added 2 hours ago
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Field Operations Maintenance Supervisor - London
TK Elevator
London, ON
- Full-time
Training and Development: Lead regular 'Toolbox Talk' meetings and training sessions to enhance staff skills, ensure safety protocol adherence, and foster industry best practices.
Added 2 hours ago
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Product Manager - Business Platforms
CDW
Toronto, ON
- Full-time
The Product Manager – Canada is a member of the Product team within the Business Transformation group, and supports CDW Canada’s selling and services organizations. The role serves as the…
Added 2 hours ago
S
Software Engineering SMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 2 hours ago
VB
Sr Specialist - Project Estimating & Cost Control
Vale Base Metals
Toronto, ON
- Full-time
Lead the preparation, review, validation, and reconciliation of capital and operating cost estimates throughout all study phases, including PEA, PFS, and FS.

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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