Jobs in Canada

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Added 9 mins ago
T
Java Software Engineer
TEKsystems
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Expected onsite attendance approximately two days per week in Toronto
Added 9 mins ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
Develop Front-End Engineering Design (FEED) and detailed engineering deliverables including process design descriptions, requirements, Process Flow Diagrams (PFDs), Piping and…
Added 39 mins ago
GC
AI Engineer
GEI Consultants, Inc.
Markham, ON
- $110,000 to $150,000 CAD / year
- Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 39 mins ago
S
Electrical Engineer – ALTO project / cadence
SYSTRA
Montreal, QC
- Full-time
Reporting to the Design Manager of each respective station (with a technical reporting relationship to the Systemwide Lead), within the Co-Development Phase of the ALTO programme, the…
Added 39 mins ago
O
Data Engineer
Obsidi®
Toronto, ON
- Full-time
Must have 4+ years of experience in Cloud: Azure · Must have 4+ years of experience in Lakehouse: Databricks
Added 39 mins ago
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Founding Engineer (Full Stack)
Field24
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
You'll be joining as our first founding engineer and will work with us in person at our Toronto office to build our AI agent platform for construction. At its core it’s an agent harness…

Obsidi®

Data Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 13, 2026
Posting language: English
Posted: Nov 13, 2026

Original job description

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization. This organization drives data enabled decision making, AI innovation, and technology modernization across the organization.

What is the Role

You will design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets.
You will leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle.
You will partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
You will implement observability capabilities and continuously optimize application services and pipeline performance.
You will perform data integrity validation to ensure accuracy, reliability, and consistency of data.

Experience:

Experience building data pipelines, and composable cloud-based data platforms (Azure), using Azure Data Factory, ADLS.
Experience working with Lakehouse platforms: Databricks, Unity Catalog, Auto Loader
Experience with data engineering, programming, ETL and ELT processes for data extraction and processing
Experience working with structured, semi-structured, and unstructured data.
Strong programming and scripting skills (SQL, Python, Java, Scala)
Strong knowledge of cloud infrastructure and microservices architecture
Experience in creating technical design documentations, both logical and physical view
Experience collaborating and working with DevOps, Scrum, and Product Teams
Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
Solid communication skills – ability to translate complex technical problems to business language
Experience in leading and driving technical discussions
Expert at problem solving and debugging

Technical Skills

4+ years of experience working with Data Warehouse / Data Platforms
4+ years of experience creating ELT / ETL data pipelines, working with structured, semi-structured, and unstructured data
4+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform
Must have 4+ years of experience in Cloud: Azure
Must have 4+ years of experience in Lakehouse: Databricks

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and automated workflows for ingesting, processing, and distributing data on a cloud data platform. Partner with stakeholders and product managers to onboard data sources, validate data integrity, implement observability, and optimize pipeline and application performance.

Requirements

Requires at least four years of experience with Azure, Databricks, data platforms, ETL/ELT pipelines, and CI/CD and source control tools. Candidates should have strong programming skills, cloud and microservices knowledge, experience with varied data types and technical design documentation, and the ability to collaborate, communicate, troubleshoot, and lead technical discussions.

Skills

Data Engineering
Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Unity Catalog
Auto Loader
SQL
Python
Java
Scala
ETL/ELT
Data Pipelines
CI/CD
Terraform
Data Validation

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data
Artificial Intelligence
Data Engineering
Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Unity Catalog
Auto Loader
Lakehouse
Cloud Data Platform
Data Pipelines
ETL
ELT
Structured Data
Semi-Structured Data
Unstructured Data
SQL
Python
Java
Scala
Microservices Architecture
Observability
Data Integrity
CI/CD
GitHub
Bitbucket
Terraform
DevOps
Scrum

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Work requirements

Jobs in Canada

Java Software Engineer

Process Design Engineer/Analyst

AI Engineer

Electrical Engineer – ALTO project / cadence

Data Engineer

Founding Engineer (Full Stack)