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Added 19 mins ago
GI
Mechanical Field Engineer
Green Infrastructure Partners
Paradise, NL · St. John's, NL · Topsail Rd, Paradise, NL
- Full-time
Added 19 mins ago
GI
Electrical Field Engineer
Green Infrastructure Partners
Paradise, NL · St. John's, NL · Topsail Rd, Paradise, NL
- Full-time
Join the Green Infrastructure Partners team, where quality, collaboration, and exceptional service are at the core of everything we do. As one of Canada’s leading construction and…
Added 19 mins ago
Software Engineer, Backend
Lyft
Toronto, ON
…Learning Platform (MLP) team is seeking a backend Software Engineer to help build and operate our platform, which supports real-time, online, and offline ML model execution, development,…
Added 19 mins ago
MG
Why this Cyber Security Engineer role is like needlecraft.
Mongoose Gray
Cambridge, ON
- Full-time
The Cyber Security Engineer will understand cloud infrastructure, identity management and application security.
Added 34 mins ago
TT
Senior Full Stack Software Engineer
True Talent Solutions Partners
Canada
- $200,000 to $275,000 USD / year
- Full-time
Work with the frontend engineer to improve the product interface and speed delivery to production.
Added 34 mins ago
DC
Waste Management Engineer - Alberta
Dillon Consulting Limited
Calgary, AB · Edmonton, AB
- Full-time
We are currently seeking a Waste Management Engineer to join our Waste Management team. Our team specializes in delivering progressive, sustainable waste management solutions across Canada,…
Added 49 mins ago
K
Data Engineer
Kindsight
Remote, Canada
- $120,000 to $135,000 CAD / year
- Full-time
- Remote
We are seeking a hands-on Data Engineer to build and maintain the data platform behind Kindsight's customer-facing analytics products. You will work across the full pipeline: ingesting data…
Added 49 mins ago
AM
Senior Source Control Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…development organizations. We are looking for a Senior Source Control Engineer to help lead the platform’s governance, security, and automation so that it can scale across the company…
Added 49 mins ago
AC
Senior Mechanical Estimator
Accenture Construct
Toronto, ON
- Full-time
…data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer and more…
Added 1 hour ago
C
Cloud Expert
Computronix
AB
- Full-time
This is a hands-on role for someone who already has solid infrastructure fundamentals and wants to keep growing as a cloud engineer.
Added 1 hour ago
JH
AI/ML Engineer
JAVA Holdings Ltd.
Remote, Canada
- Full-time
- Remote
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the…
Added 1 hour ago
P
Technical Director
Parallelz
Remote, Canada
- Full-time
- Remote
AI is central to how we work. Every engineer pairs with capable agents, and agentic workflows run through how we triage, build, review, ship and operate. Our team and advisors include…
Added 1 hour ago
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
We're looking for a Staff Engineer for our Messaging Experience team, responsible for building, maintaining, and evolving Canvas, our flagship product. That means supporting the…
Added 1 hour ago
S
Senior Software Developer
Soni
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
A global leader in software solutions for infrastructure engineering. Our technology empowers engineers, architects, constructors, and owner-operators around the world to design, build, and…
Added 1 hour ago
P
Technical Director
Parallelz
Toronto, ON
- Full-time
AI is central to how we work. Every engineer pairs with capable agents, and agentic workflows run through how we triage, build, review, ship and operate. Our team and advisors include…
Added 1 hour ago
B
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
- Full-time
We're looking for a Staff Engineer for our Messaging Experience team, responsible for building, maintaining, and evolving Canvas, our flagship product. That means supporting the…
Added 1 hour ago
US
Software Engineer (Core Java, Market Risk)
United Software Group Inc
Montreal, QC
- Contract
We’re looking for an Applied AI Engineer to join a market risk engineering squad. You’ll build and support core components of a Market Risk platform in Core Java, use AI tools to power…
Added 1 hour ago
Staff Engineer, Atlas Agent Engine
MongoDB
Toronto, ON · ON · QC
As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI…
Added 1 hour ago
UO
Electrical Engineer (Robotics)
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
As an Electrical Engineer at ReCAST Robotics, you will own electrical system design decisions - evaluating architectural trade-offs, selecting components and sensor/actuator interfaces, and…
Added 1 hour ago
JH
AI/ML Engineer
Java Holdings Ltd
AB · Edmonton, AB
- Full-time
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the…
Added 2 hours ago
M
Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Full Stack Engineer, you will build and maintain applications that customers and advisors rely on. Working alongside an experienced team, you will contribute across the full technology…
Added 2 hours ago
BT
Senior Software Developer
Botpress Technologies Inc.
Remote, Canada
- Full-time
- Remote
5+ years of experience as a Software Engineer, ideally in a fast-paced product environment
Added 2 hours ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 2 hours ago
PG
Senior Application Security Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
Added 2 hours ago
N
Senior Systems Engineer - Traffic Management
Nubank
Toronto, ON
- Full-time
Worked hands-on with Kubernetes-based infrastructure and Infrastructure-as-Code tooling - defining and evolving manifests, routing and deployment strategies, and managing DNS configuration…

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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