Jobs in Canada

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Added 12 days ago
AI Security Engineer, AWS Security - AISec
Amazon
Vancouver, BC · NS
As an AI Security Engineer, you will work with software development teams to ensure the security of AI applications. You will drive security strategy and influence product security…
Added 12 days ago
AM
IP Silicon Validation Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Must have excellent written and verbal communication skills
Added 12 days ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Write advanced SQL and Python to develop transformations, frameworks, automation, and reusable engineering tooling.
Added 12 days ago
T
Senior Python Test Automation Engineer
Telesat
Ottawa, ON
- Full-time
We are seeking a senior Python Automation Engineer to design, build, and maintain scalable test automation frameworks for distributed, event-driven applications. This is a hands-on…
Added 12 days ago
BE
Manager, Application Development
BC Energy Regulator
Fort St. John, BC
- Full-time
Build and maintain effective partnerships with business areas, Digital Innovation teams, vendors, and external stakeholders to ensure requirements are understood, solutions are effectively…
Added 12 days ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 12 days ago
HR
ITV Specialist Intern (Winter 2027, 12 months)
Hitachi Rail
Toronto, ON
- $23 to $30 CAD / hour
- Full-time
The IITV specialist Internr with foundational experience in Python & Perl to support test automation efforts across large-scale software delivery projects. This role is ideal for candidates…
Added 12 days ago
GD
System Integration Verification & Validation
General Dynamics Missions System International
Ottawa, ON
- Full-time
This position will include working with Windows Servers, Networking (routing, VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools…
Added 12 days ago
SG
Junior Quantitative Advisor-QIS
Societe Generale
Montreal, QC
- Full-time
Experience with data analysis, automation, production monitoring, testing frameworks, or control design.
Added 12 days ago
Manager, Quantitative Strategies & Analytics
Scotiabank
Toronto, ON
…communication skills and the ability to collaborate effectively with partners and senior stakeholders. Success relies on balancing technical depth with business understanding. Reporting to…
Added 12 days ago
Manager, Quantitative Strategies & Analytics
Scotiabank
Toronto, ON
…communication skills and the ability to collaborate effectively with partners and senior stakeholders. Success relies on balancing technical depth with business understanding. Reporting to…
Added 12 days ago
SG
Senior DevOPS Engineer
Societe Generale
Montreal, QC
- Full-time
Ensure alignment with Group security frameworks (e.g., SOFASEC or equivalent)
Added 12 days ago
FI
Staff Supply Chain Simulation Scientist
Fulfillment IQ
Remote, Canada
- $145,000 to $170,000 CAD / year
- Full-time
- Remote
Experience with Python, simulation frameworks (SimPy, etc.).
Added 12 days ago
W
Software Engineer – Platform Security & Modernization
W3Global
Montreal, QC
- $50 to $60 CAD / hour
- Contract
…modernizing legacy applications, and enhancing reliability through automation, observability, and engineering best…
Added 12 days ago
C
Winter 2027 : AI Developer Co-op (8 months)
CGI
Toronto, ON
- Full-time
The AI Developer (Co-op) will contribute to the design, development, and deployment of AI-powered software solutions, with a strong focus on Generative AI, Agentic AI, LLM integration, and…
Added 12 days ago
S
Manager, Quantitative Strategies & Analytics
Scotiabank
Toronto, ON
- Full-time
…communication skills and the ability to collaborate effectively with partners and senior stakeholders. Success relies on balancing technical depth with business understanding. Reporting to…
Added 12 days ago
Director, Strategic Asset Allocation
Equitable
Waterloo, ON
Experience with Python, R, SQL, VBA, Power BI, or similar analytical and automation tools is considered an asset
Added 12 days ago
C
Consultant, Site Reliability Engineering(SRE)
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 12 days ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Proven programming track record using Python, Bash and Linux based data transformation automation.
Added 12 days ago
Copy of Senior Software Development Engineer in Test, ML
PlayStation Global
Waterloo, ON
…learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation…
Added 12 days ago
E
Junior AI Developer
Ericsson
Ottawa, ON
- Full-time
…leverage Artificial Intelligence to improve product quality, test automation, engineering productivity, and verification efficiency. We are looking for a passionate Junior AI Developer who…
Added 12 days ago
TR
Forward Deployed Engineer (Internal tools)
Trexo Robotics
Mississauga, ON
- $100,000 to $140,000 CAD / year
- Full-time
This is a newly created hybrid position (3 days per week on-site in Mississauga)
Added 12 days ago
OA
Product Software Developer
OpenRoad Auto
Richmond, BC
- Full-time
…opportunity to build modern applications, AI-powered solutions, and automation that transform business processes across the organization. You'll collaborate directly with executives and…
Added 12 days ago
E
Firmware Developer
Epiroc
Pitt Meadows, BC
- Full-time
…accelerates the transformation toward a sustainable society. With ground-breaking technology, we develop and provide innovative and safe equipment, such as drill rigs, rock excavation and…
Added 12 days ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Establish disciplined coding practices, design patterns, automation, and semantic versioning standards that enable agility and high-quality delivery at scale.

Exchange Solutions

Senior Data Engineer

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

Full-time

Apply on LinkedIn 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.

Apply on LinkedIn About employer

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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Jobs in Canada