Data engineer jobs in Canada

Find data engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Sep 17, 2026

Hiring at a glance

View jobs

Open jobs: 457
Employers: 253

Advertised starting pay

Average starting payCAD / year: $94,792Across 31 listings
Average starting payUSD / year: $112,673Across 23 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 6%28 listings
Hybrid: 37%171 listings
On-site: 55%251 listings

Not specified: 2% (7 listings)

Employers hiring include RBC (24), Royal Bank of Canada (22), BrainStation (13).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Canada

Save this search

Added 3 mins ago
Professional Senior, Engineering, Data Engineer, Data Analytics
Bombardier
Dorval, QC
Full-time
Added 1 hour ago
Senior Data Engineer, Temporary
Aviso
Vancouver, BC
Temporary
Added 3 hours ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
Temporary
Added 3 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 3 hours ago
Senior Data Engineer [GROWTH]
HelloFresh
Toronto, ON
Added 4 hours ago
Data Engineer III
TD
Toronto, ON
Full-time
Added 4 hours ago
Data Engineer I
TD
Toronto, ON
Full-time
Added 5 hours ago
Lead, Data Engineer
AgileGrid Solutions
Canada
Full-time
Added 5 hours ago
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
Temporary · Remote
Added 5 hours ago
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
Temporary · Remote
Added 7 hours ago
Senior Data Engineer
TechDoQuest
Toronto, ON
Contract
Lead data analysis, profiling, discovery, and migration assessment activities.
Added 7 hours ago
Data Engineer
Millennium Software and Staffing Inc
Hope, BC
Contract
Job Opening – Databricks Engineer – Location - Vancouver Canada
Added 8 hours ago
Data Engineer - Capital Markets
Synechron
Mississauga, ON
110,000 to 120,000 USD / year
Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 8 hours ago
Sr. Data Engineer
Tekgence Inc
Toronto, ON
Full-time
Strong combination of GCP BigQuery to Azure Databricks
Added 9 hours ago
ETL Data engineer
Tekshapers
Markham, ON
Contract
Minimum 8+ years’ of experience successfully leading ETL data reconciliation with expertise working with large-scale enterprise data models. • Solid grasp/experience with data technologies…
Added 9 hours ago
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
Contract
Lead data analysis, profiling, discovery, and migration assessment activities.
Added 9 hours ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
90,000 to 150,000 CAD / year
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 9 hours ago
Data Engineer
AgileGrid Solutions
Canada
Full-time
Added 9 hours ago
Jr Data Engineer
Citylitics Inc.
Toronto, ON
70,000 to 80,000 CAD / year
Full-time
Added 10 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 10 hours ago
Senior Data Engineer
Altitude Technology Solutions Inc
Toronto, ON
Contract
Hands on with Azure Cloud Services, including ADLS, Azure Functions, Azure Kubernetes Service (AKS), and Azure Databricks.
Added 10 hours ago
DATA ENGINEER
SIDRAM TECHNOLOGIES
Mississauga, ON
Full-time
4+ years Ab Initio Metadata Hub (mHub) development
Added 10 hours ago
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
Contract
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Data Engineer Tech Lead a long-term opportunity at Mississauga, ON (Hybrid).
Added 10 hours ago
Data Engineer(Ab-initio) _ Mississauga, Canada
Kodeva LLC
Mississauga, ON
Full-time
Data Engineer
DarkVision
North Vancouver, BC
Full-time
Backed by Blackstone, one of the world’s largest private equity firms, DarkVision’s team of Software, Mechanical, and Machine Learning Engineers and Data Analysts is rapidly expandi

Groupe SII

Ingénieur de Données (Senior)

Montreal, QC, Canada

Full-time

Apply About employer

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Design and develop scalable data pipelines for ingesting and processing large volumes of data from multiple sources. Collaborate with data scientists and stakeholders to optimize data workflows and ensure high data quality and availability.

Requirements

Requires a minimum of 5 years of experience as a Data Engineer with strong expertise in Python, Apache Spark, and the Azure ecosystem. A university degree in Computer Science, IT, Mathematics, or a related field is required.

Experience

5 to 10 years

Education

bachelor degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Python
Apache Spark
Databricks
Azure Data Factory
Azure Data Lake
Azure DevOps
SQL
Data Modeling
Data Warehousing
Agile
Google BigQuery
CI/CD
Data Pipeline Design
Performance Optimization
Data Governance
Relational Databases

Visa sponsorship

Not detected in the job text

Keywords

Azure
Databricks
Python
Apache Spark
Azure Data Factory
Azure Data Lake
Azure DevOps
SQL
Google BigQuery
Data Engineering
Data Pipelines
ETL
Data Modeling
Data Warehousing
Agile
CI/CD
Data Governance
Cloud Computing
Big Data
Relational Databases
SLO
Data Quality
Information Technology
IT Consulting

Original job description

English section of this bilingual listing.

Environnement Technologique

You will actively contribute to the entire data value chain, including data exploration, ingestion, transformation, preparation and orchestration. You will also help drive the continuous improvement of best practices, frameworks, processes and reusable components supporting the enterprise data platform.

Responsibilities

Collaborate with data scientists, analysts and stakeholders to understand business requirements and deliver effective data solutions.
Design, document and develop scalable data pipelines for ingesting, processing and storing large volumes of data from multiple sources such as APIs, databases and files.
Optimize data processing workflows to improve performance, efficiency and data availability for analytics and reporting activities.
Support troubleshooting and resolution of data pipeline issues while ensuring data quality and platform reliability.
Contribute to the definition and documentation of data pipeline Service Level Objectives (SLOs).
Apply and promote Data Quality-by-Design, data integration and data modeling standards.
Participate in user story estimation and solution design activities within an Agile environment.
Contribute to communities of practice by sharing knowledge and promoting engineering best practices.
Collaborate with data governance teams to ensure compliance with organizational policies and standards.

Required Qualifications

Minimum of 5 years of experience as a Data Engineer.
Strong experience with Python and Apache Spark development.
Significant experience working with Databricks.
Strong knowledge of Azure Data Factory, Azure Data Lake and Azure DevOps pipelines.
Experience with source control and CI/CD practices using Azure DevOps.
Solid SQL expertise and experience with relational database management systems.
Experience with data modeling, data warehousing and performance optimization.
Experience working in Agile environments.
Experience with Google BigQuery is considered an asset.

Education

Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics or a related field.

Desired Skills

Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to communicate complex technical concepts effectively.
Strong organizational skills and attention to quality.
Team-oriented mindset with a focus on delivering business value.
Azure Databricks
Python
Apache Spark
Azure Data Factory
Azure Data Lake
Azure DevOps
SQL
Google BigQuery (asset)

Read the full bilingual original

Contexte

Au sein d'une équipe spécialisée en plateformes de données et outils analytiques, tu contribueras à l'évolution et à la fiabilité d'une plateforme de données d'entreprise infonuagique. Tu travailleras en étroite collaboration avec les équipes de science des données, d'analyse, de gouvernance et les partenaires d'affaires afin de rendre les données accessibles et exploitables pour les besoins analytiques et décisionnels.

Tu participeras activement à l'ensemble de la chaîne de valeur des données, incluant l'exploration, l'ingestion, la transformation, la préparation et l'orchestration des flux de données. Tu contribueras également à l'amélioration continue des bonnes pratiques, cadres de référence, processus et composantes réutilisables liés à la plateforme de données.

Responsabilités

Collaborer avec les équipes de science des données, d'analyse et les différentes parties prenantes afin de comprendre les besoins d'affaires et de proposer des solutions adaptées.
Concevoir, documenter et développer des pipelines de données évolutifs permettant l'ingestion, le traitement et le stockage de volumes importants de données provenant de multiples sources (API, bases de données, fichiers, etc.).
Optimiser les processus de traitement de données afin d'assurer la performance, l'efficacité opérationnelle et la disponibilité des données pour les besoins analytiques et de reporting.
Participer à la résolution des incidents et problématiques liés aux pipelines de données et assurer un haut niveau de qualité et de disponibilité des données.
Contribuer à la définition et à la documentation des objectifs de service (SLO) associés aux pipelines de données.
Appliquer et promouvoir les standards de modélisation de données, d'intégration de données et de qualité des données dès la conception.
Participer à l'estimation des travaux et à l'analyse des récits utilisateurs dans un contexte Agile.
Contribuer activement aux communautés de pratique en partageant tes connaissances et en favorisant l'adoption des meilleures pratiques.
Collaborer avec les équipes de gouvernance des données afin d'assurer la conformité aux politiques et standards organisationnels.

Qualifications Requises

Minimum de 5 années d'expérience à titre d'ingénieur de données.
Expérience avancée en développement Python et Apache Spark.
Expérience significative avec la plateforme Databricks.
Bonne maîtrise d'Azure Data Factory, Azure Data Lake et des pipelines Azure DevOps.
Expérience en gestion de code source et intégration continue à l'aide d'Azure DevOps.
Solide expérience en SQL et en bases de données relationnelles.
Connaissance des concepts de modélisation de données, d'entreposage de données et d'optimisation des performances.
Expérience de travail dans un environnement Agile.
Expérience avec Google BigQuery (atout).

Formation

Diplôme universitaire en informatique, technologies de l'information, mathématiques, statistiques ou dans un domaine connexe.

Compétences Recherchées

Excellentes capacités d'analyse et de résolution de problèmes.
Aptitudes marquées en communication et en collaboration.
Capacité à vulgariser l'information technique.
Sens de l'organisation et souci de la qualité.
Esprit d'équipe et approche orientée vers la création de valeur.

Environnement Technologique

Azure Databricks
Python
Apache Spark
Azure Data Factory
Azure Data Lake
Azure DevOps
SQL
Google BigQuery (atout)

Context

As part of a Data Platform and Analytics team, you will contribute to the evolution, reliability and scalability of a cloud-based enterprise data platform. You will work closely with data scientists, analysts, governance teams and business stakeholders to make data accessible and actionable for analytics and decision-making purposes.

You will actively contribute to the entire data value chain, including data exploration, ingestion, transformation, preparation and orchestration. You will also help drive the continuous improvement of best practices, frameworks, processes and reusable components supporting the enterprise data platform.

Responsibilities

Collaborate with data scientists, analysts and stakeholders to understand business requirements and deliver effective data solutions.
Design, document and develop scalable data pipelines for ingesting, processing and storing large volumes of data from multiple sources such as APIs, databases and files.
Optimize data processing workflows to improve performance, efficiency and data availability for analytics and reporting activities.
Support troubleshooting and resolution of data pipeline issues while ensuring data quality and platform reliability.
Contribute to the definition and documentation of data pipeline Service Level Objectives (SLOs).
Apply and promote Data Quality-by-Design, data integration and data modeling standards.
Participate in user story estimation and solution design activities within an Agile environment.
Contribute to communities of practice by sharing knowledge and promoting engineering best practices.
Collaborate with data governance teams to ensure compliance with organizational policies and standards.

Required Qualifications

Minimum of 5 years of experience as a Data Engineer.
Strong experience with Python and Apache Spark development.
Significant experience working with Databricks.
Strong knowledge of Azure Data Factory, Azure Data Lake and Azure DevOps pipelines.
Experience with source control and CI/CD practices using Azure DevOps.
Solid SQL expertise and experience with relational database management systems.
Experience with data modeling, data warehousing and performance optimization.
Experience working in Agile environments.
Experience with Google BigQuery is considered an asset.

Education

Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics or a related field.

Desired Skills

Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to communicate complex technical concepts effectively.
Strong organizational skills and attention to quality.
Team-oriented mindset with a focus on delivering business value.

Technology Environment

Azure Databricks
Python
Apache Spark
Azure Data Factory
Azure Data Lake
Azure DevOps
SQL
Google BigQuery (asset)

Partenaire technologique de grandes entreprises depuis 1979, le Groupe SII est au cœur de l'économie de l'innovation, avec 16 000 employés, une présence internationale dans 20 pays et un chiffre d'affaires dépassant 1,621 milliard de dollars canadiens.

SII Canada offre à ses clients une expertise technique de pointe dans les domaines du développement d'applications, du web et du mobile, de la cybersécurité et du cloud computing. Nous fournissons également des services d'ingénierie, notamment pour les systèmes embarqués dans divers secteurs industriels. Notre ambition est de faire progresser les systèmes d'information et de contribuer à la création des produits et services de demain pour nos clients.

De plus, l'inclusion est au cœur de notre culture d'entreprise. SII Canada s'engage à offrir un environnement de travail équitable et respectueux qui favorise la diversité et l'égalité des chances

Apply by Oct 15, 2026

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