Jobs in Canada

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Added 49 mins ago
Cloud Engineer
VySystems
Canada
Full-time
Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, GCP, and OCI, with additional providers to be expanded in the near future.
Added 49 mins ago
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
Full-time
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 hour ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
…across diverse technical teams (data scientists, ML engineers, platform engineers, payments domain experts, infrastructure teams, and business…
Added 2 hours ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Added 4 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Build and evolve our training infrastructure on Kubernetes with Infrastructure - GPU scheduling, autoscaling, multi-node distributed jobs, capacity strategy, and the operators and workflow…
Added 5 hours ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
…incubation lab and architecture and delivery for a global telemetry…
Added 5 hours ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 5 hours ago
Applied AI Engineer
Ranger AI
Canada
Full-time
Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.
Added 6 hours ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 7 hours ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
Full-time
…across diverse technical teams (data scientists, ML engineers, platform engineers, payments domain experts, infrastructure teams, and business…
Added 8 hours ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 9 hours ago
Senior Machine Learning Developer
Jobgether
Canada
Full-time
Contribute to ML platform capabilities including model serving, LLM infrastructure, and production monitoring.
Added 9 hours ago
Senior DevOps Engineer (GitHub, ADO)
Yochana
Toronto, ON
Contract
8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Automation.
Added 9 hours ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 9 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 9 hours ago
AI Engineer
Urban Ridge Supplies
Guelph, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 9 hours ago
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
Full-time
Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
Added 9 hours ago
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Technology Strategy team supporting transformative AI initiatives. This role is focused on designing,…
Added 9 hours ago
Senior AI Engineer
Urban Ridge Supplies
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 9 hours ago
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…you ship models into production, whether your title says ML engineer or data scientist, this is for…
Added 9 hours ago
AI Engineer
Urban Ridge Supplies
Kitchener, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 9 hours ago
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 9 hours ago
AI Inference Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models…
Added 9 hours ago
Principal Software Engineer / Architect – AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
Full-time
Are you a Principal-level software engineer who enjoys solving complex customer problems while remaining deeply hands-on with technology?
Added 9 hours ago
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…

Xplore Inc

Principal Data Engineer

Markham, ON, Canada

Job type: Full-time
Experience: 10+ years of data engineering experience, including 4+ years leading platform or team-level initiatives.
Posting language: English
Posted: Jul 30, 2026

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Original job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

This role is for an experienced technical leader to lead the technical roadmap and upskill the Xplore data engineering team. You will define the end-to-end data platform (ingestion, storage, modeling, governance, quality, observability), unify data currently siloed across on-prem network/OSS/BSS systems, Salesforce CRM, and other business sources, and embed compliance, lineage, and cataloging by design.

Key responsibilities include:

Own the architecture and delivery of a scalable enterprise lakehouse platform following the medallion pattern (bronze/silver/gold layers) to support BI, data science, and AI use cases.
Stand up robust ingestion pipelines from on-prem and cloud systems (e.g., SQL Server/Oracle, network telemetry/OSS, Salesforce via APIs/CDC), enabling both batch and streaming workloads.
Implement governance, security, and compliance controls end-to-end: role-based and attribute-based access control, row/column-level security, secrets and key management, data retention, and privacy-by-design aligned to Canadian regulations (e.g., PIPEDA/CPPA, Quebec Law 25) and other relevant standards.
Establish enterprise data lineage and cataloging using modern metadata management and data discovery tools; curate business glossaries and data contracts with domain owners.
Define data quality SLAs/SLOs and automated validation at ingestion and transformation stages; implement observability and alerting for freshness, volume, and schema drift.
Partner with analytics, data science, and AI/ML teams to provision clean, well-documented datasets and features, and enable MLOps-friendly patterns.
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Create reference architectures, standards, and reusable frameworks; mentor data engineers and champion engineering excellence and security-first development.
Collaborate across information security, privacy, legal, and compliance domains to translate policies into technical controls, and to support audits and evidence collection.
Engage with business stakeholders to prioritize the roadmap, translate use cases into data products, and measure value delivered.
Build, mentor, and inspire a high-performing data engineering team; establish best practices for reproducibility, testing, and documentation

The ideal candidate will possess:

10+ years of data engineering experience, including 4+ years leading platform or team-level initiatives.
Expert hands-on skills with modern data lakehouse and distributed compute platforms (e.g., Spark-based ecosystems, cloud-native storage, streaming frameworks).
Strong experience with enterprise data cataloging, lineage, and governance at scale.
Proficiency in Python and/or Scala, advanced SQL, and performance tuning for large-scale ELT.
Practical knowledge of ingestion from Salesforce, on-prem RDBMS, files/telemetry, and APIs; experience bridging on-prem systems with cloud platforms.
Solid grasp of security and privacy controls (RBAC, encryption, tokenization/masking), and familiarity with Canadian privacy regimes (PIPEDA/CPPA, Law 25) and other relevant standards.
Experience with CI/CD, infrastructure as code, automated testing frameworks, and data observability solutions.
Comfort collaborating across domains (Network, Care, Marketing, Finance, Sales) and translating business needs into scalable data products.
Advanced academic background in a quantitative discipline such as Computer Science, Engineering, Mathematics, or a related field.
Excellent communication skills, a coaching mindset, and the ability to set platform vision and deliver iteratively.

Condition of Employment:

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

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More about this job

Responsibilities

The Principal Data Engineer will lead the technical roadmap and architecture for a scalable enterprise lakehouse platform while mentoring the data engineering team. They will also define data governance, quality standards, and security controls to ensure compliance with Canadian privacy regulations.

Requirements

Candidates must have over 10 years of data engineering experience with at least 4 years in a leadership capacity. Proficiency in modern data lakehouse platforms, Python/Scala, and enterprise data governance is required, along with an advanced academic background in a quantitative discipline.

Skills

Data Engineering
Data Architecture
Spark
Python
Scala
SQL
Data Governance
Cloud Platforms
Data Lakehouse
ETL
Data Lineage
Metadata Management
CI/CD
Infrastructure as Code
Data Observability
FinOps

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Lakehouse
Medallion Pattern
Spark
Salesforce
SQL Server
Oracle
Cloud-native
Data Governance
PIPEDA
CPPA
Law 25
Data Lineage
Metadata Management
Data Quality
Observability
CI/CD
Infrastructure as Code
FinOps
Python
Scala
ELT
Data Science
AI/ML
MLOps
Security
Privacy
Compliance
Broadband
Telecommunications

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