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Added 12 mins ago
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IT Quality Engineer - AVP
Citi
Mississauga, ON
- Full-time
Citi is seeking an experienced IT Quality Engineer to lead quality assurance and test automation engineering for our Exchange Traded Derivatives (ETD) Clearing & Product Processor platforms.
Added 12 mins ago
FH
Director, Clinical Operations (Community & Hospital)
Fraser Health
New Westminster, BC
- Full-time
Lead one of the province’s most dynamic clinical portfolios, overseeing the Emergency Program, and Diagnostic and Interventional Cardiac Programs at Royal Columbian Hospital while shaping…
Added 13 mins ago
TU
Assistant Professor of Teaching (tenure-track)
The University of British Columbia
Vancouver, BC
- Full-time
…will teach courses covering these areas. They will also teach technical communication and professional engineering practice, and lead the development, implementation, and ongoing delivery…
Added 13 mins ago
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Principal Program Manager
HDR
Toronto, ON
- Full-time
…disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will…
Added 13 mins ago
TU
Communications Specialist
The University of British Columbia
Vancouver, BC
- $6,143.67 to $8,830.25 CAD / month
- Full-time
They will advance the ATM’s strategic goals through the implementation and delivery of communications materials highlighting the successes of ATM, and the services/supports provided, within…
Added 13 mins ago
FC
Cost Control Coordinator
FCC Construcción
Toronto, ON
- Full-time
…infrastructure investments. This landmark project includes the delivery of approximately three kilometres of twin tunnels beneath Pape Avenue, two new underground stations, integration with…
Added 13 mins ago
HI
Intermediate Data Analyst
HRbrain Inc.
Toronto, ON
- Full-time
Rapid data delivery for bank teams requiring reports, indicators, or advanced analysis.
Added 13 mins ago
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Sourcing Manager - Packaging (Contract)
DECIEM | THE ABNORMAL BEAUTY COMPANY
Toronto, ON
- Contract
Rare combination of technical packaging engineering, cross-functional R&D leadership, and commercial procurement skills necessary to manage complex RFP programs and lead strategic supplier…
Added 13 mins ago
AC
Senior Mechanical Estimator
Accenture Construct
Toronto, ON
- Full-time
…engineers, technologists and strategists who pair real-world delivery with AI. And you won't be handed a slice of it. We take on whole programs, from early strategy through construction and…
Added 13 mins ago
AA
Payroll and benefits specialist
Accounting Advantage
Toronto, ON · Scarborough, ON
- $70,000 to $90,000 CAD / year
- Full-time
Manage end-to-end payroll processing for all Canadian and US employees, ensuring accurate and timely delivery of salaries, bonuses, and commissions.
Added 13 mins ago
TS
Justice Support Worker
The Salvation Army in Canada
Regina, SK
- Full-time
Assist in developing and coordinating the delivery of designated programs; may be responsible for ensuring workflow is maintained and safety of participants and employees in the absence of…
Added 13 mins ago
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Databricks Partner Solutions Leader
Slalom
Calgary, AB
- Full-time
Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered…
Added 13 mins ago
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Head, Strategy and Business Development
CENGN - (Centre of Excellence in Next Generation Networks)
Ottawa, ON
- Full-time
As a key advisor to the President & CEO, this role will lead the design and delivery of CENGN’s strategic roadmap, ensuring alignment with emerging technologies and national priorities…
Added 13 mins ago
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Development Team Lead
AMA - Alberta Motor Association
AB · Edmonton, AB
- Full-time
Build solutions designed to last. Lead the development of reliable integration services that balance business requirements, technical constraints, usability, security, and long-term…
Added 28 mins ago
IF
Senior Developer
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…foundations and practices that support development, operations, and delivery teams. You will help implement high-performing, standardized, and sustainable solutions that enhance the…
Added 28 mins ago
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Manager Engineering
Manulife
Waterloo, ON
- Full-time
As a Manager Engineering, you will lead technology teams in delivering secure, reliable, and user-centered solutions that support business objectives. You will translate technical and…
Added 28 mins ago
CH
Senior Data Warehouse Developer
Calgary Homeless Foundation
Calgary, AB
- Full-time
Design scalable architecture, optimizs performance, lead complex data modelling
Added 42 mins ago
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Salesforce Technical Lead
Finning
Surrey, BC
- Full-time
Reporting to the Software Delivery Manager, the Salesforce Technical Lead is responsible for leading a Salesforce delivery team in the design, development, testing, and release of scalable…
Added 42 mins ago
Instrumentation & Controls Engineer
Kiewit
Calgary, AB
…disciplines, is a multi-faceted division of Kiewit with best-in-class technical expertise focused on the EPC delivery model for power facilities. We offer a variety of engineering services,…
Added 42 mins ago
SAP SD Consultant Sr.
Syntax
Thornhill, ON
Syntax is seeking a highly experienced SAP SD Consultant – Senior to lead the design, implementation, optimization, and support of SAP Sales and Distribution solutions. In this role, you…
Added 42 mins ago
Senior Manager, Collateral & Margining Technology (Capital Markets Technology)
Scotiabank
Toronto, ON
Lead delivery of medium to large technology programs with annual IT spend typically ranging from $2MM to $15MM, ensuring disciplined scope, financial, dependency, risk, and benefits…
Added 42 mins ago
Manager, Estates and Trusts - Ottawa
Scotiabank
Ottawa, ON
Lead and develop a high-performing team: Coach, mentor and empower employees, build technical expertise and establish clear ownership of operational activities
Added 42 mins ago
Senior Delivery Manager
Scotiabank
Toronto, ON
Project Delivery: Lead day-to-day planning and execution of project initiatives within the Software Currency Global Corporate Functions portfolio, ensuring alignment to approved objectives,…
Added 42 mins ago
PL
Senior Geotechnical Engineer - PL#60248
Peter Lucas Project Management Inc.
Sudbury, ON
- Full-time
Peter Lucas Project Management invests in people and community to provide gold standard project delivery. We are currently looking for a Senior Geotechnical Engineer – Underground…
Added 42 mins ago
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Technical Director
Parallelz
Remote, Canada
- Full-time
- Remote
As Technical Director, you will own the technical direction of Parallelz and lead a senior engineering team. You will work closely with the CEO and product leadership to turn priorities…

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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