Data engineer jobs in Canada

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

456 listings · 258 employers Counted Sep 17, 2026. How we count

About these jobs

Employers hiring include RBC (24 listings), Royal Bank of Canada (23 listings), BrainStation (13 listings).

62 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Workplace classifications: 6% remote, 38% hybrid, 55% on-site, 2% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Data engineer jobs in Canada

1 hour ago
Data Engineer (Google Cloud Platform (GCP) & BigQuery) (hybrid in Toronto / Mississauga))
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
Contract
Data Engineer (Google Cloud Platform (GCP) & BigQuery)
3 hours ago
Staff Data Engineer
Jobber
Edmonton, AB
Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
3 hours ago
Staff Data Engineer
Jobber
Kitchener, ON
Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
3 hours ago
Staff Data Engineer
Jobber
Vancouver, BC
Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
3 hours ago
Staff Data Engineer
Jobber
Toronto, ON
Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
7 hours ago
Senior Data Engineer
RJC Group
Calgary, AB
Contract
We’re looking for a hands-on Data Engineer with strong Python and SQL fundamentals and proven experience working independently in a production data environment.
7 hours ago
Lead Data Engineer (Retail, Omnichannel)
Diligente Technologies
Canada
Contract
We are hiring 2 Senior / Lead Data Engineers to help build the next generation of a Retail & Omnichannel Analytics platform.
7 hours ago
Senior Data Engineer - Snowflake & DBT Cloud
Enterprise Solutions Inc.
Markham, ON
Contract
Extensive Experience of professional experience delivering over 10 high-impact data projects from inception through warranty
7 hours ago
Sr. Databricks Data Engineer, Onsite AVP
State Street
Toronto, ON
Full-time
We are looking for a Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services
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…
12 hours ago
AWS Cloud Data Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Extensive experience in Data Warehousing, Data Engineering, and AWS Cloud technologies.
12 hours ago
Senior Data Engineer
Luxoft
Toronto, ON
Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
13 hours ago
Data Engineer
Soroc Technology
Toronto, ON
45 to 55 CAD / hour
Contract
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
13 hours ago
Data Engineer (contrat 24+ mois)
DELAN - IT Talent Solutions
Montreal, QC
Contract
Nous sommes présentement à la recherche d’un Data Engineer pour un contrat d’une durée de 24 mois avec possibilité de renouvellement.
13 hours ago
DATA ENGINEER
SIDRAM TECHNOLOGIES
Mississauga, ON
Full-time
4+ years Ab Initio Metadata Hub (mHub) development
14 hours ago
ETL Data Engineer - AWS & Netezza
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
Full-time
Extensive experience in Data Warehousing, Data Engineering, and AWS Cloud technologies.
14 hours ago
Data Engineer(Ab-initio )
Microtek Learning LLC
Mississauga, ON
Full-time
At least 4+ years of application Ab-initio Metadata hub development experience.
14 hours ago
Data Engineer
TMC Canada
Montreal, QC
Full-time
We're looking for talented Data Engineers to contribute to the development of core infrastructure components across Sybase, DB2, and MSSQL database platforms, as well as newer platforms…
14 hours ago
ETL Data Engineer
Shatan Technologies
ON · Ontario, Canada
Contract
We are seeking a seasoned ETL Data Engineer with 8+ years of hands-on experience driving large-scale enterprise data reconciliation and ETL initiatives. In this role, you will lead complex…
14 hours ago
Data Engineer
Futran Solutions
Mississauga, ON
Full-time
At least 4+ years of application Ab-initio Metadata hub development experience.
14 hours ago
Technology Lead - AWS Data Engineer
Infosys
Burnaby, BC
Full-time
Infosys is seeking an experienced Data Engineer with 6+ years of experience in building scalable data platforms and ETL pipelines. The ideal candidate should have strong hands-on expertise…
14 hours ago
Data Engineer
Altimetrik
Mississauga, ON
Full-time
At least 4+ years of application Ab-initio Metadata hub development experience.
15 hours ago
Cloud Data Engineer (GCP & AWS)
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering. Our 13 FinLabs serve as hubs where we innovate and develop cutting-edge business…
15 hours ago
Data Engineer
TMC Canada
Montreal, QC
Full-time
TMC Canada is looking for an experienced Data Engineer to join our team in Montréal and work on high-impact infrastructure projects for a tier 1 global financial institution.
16 hours ago
Senior Data Engineer
The Home Depot Canada
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Senior Data Engineer is responsible for designing, building, and optimizing scalable and reliable data solutions. This role ensures high-quality data pipelines, supports advanced…

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1 day ago

Jobgether

Data Engineer – Data Platform (AI-Enabled)

Canada

Full-time

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Applications open in a new tab.

At a glance

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

Jump to the original description

Responsibilities

You will build and maintain production-grade data products and semantic layers that support both human users and AI systems. Additionally, you will coach teammates on AI-first development practices while ensuring the reliability and scalability of the data platform.

Requirements

The role requires strong professional experience in data engineering, SQL, and cloud infrastructure, along with a proven ability to build scalable data products. Candidates must also demonstrate practical experience using AI tools in engineering workflows and possess a platform-oriented mindset.

Experience

5 to 10 years

Working hours

40 hours per week

Job type

Full-time

Work arrangement

Hybrid

Skills

Data engineering
SQL
Data modeling
Semantic modeling
Cloud infrastructure
DevOps
Python
Snowflake
dbt
Airflow
Kubernetes
Prompt engineering
Vector databases
Machine learning pipelines
Data governance

Benefits

Flexible hybrid and remote working options
Recurring hybrid work allowance
4 to 6 weeks of paid vacation
5 paid personal days
Group RRSP / DPSP plan
Comprehensive group insurance
Annual wellness allowance
Lumino Health telehealth access
Flexible working hours

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
AI-Enabled
Data Platform
Semantic Layer
Self-service analytics
Snowflake
dbt
Airbyte
Airflow
Python
Terraform
Kubernetes
Helm
Azure
Kafka
Debezium
GitLab
Prompt engineering
Vector databases
LangChain
LangGraph
Machine learning
Data pipelines
DevOps
Data architecture
Production engineering
Governance
Lineage
Federated BI
Cloud infrastructure

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer – Data Platform (AI-Enabled) based in Canada.

This role offers the opportunity to help build a modern data platform designed for both human users and AI systems. You’ll combine strong data engineering fundamentals with practical, hands-on use of AI to accelerate development, improve quality, and create greater engineering leverage. Working within a small platform team, you’ll build trusted, governed, and semantically rich data products that support customers, product teams, engineering, BI, and business users. You’ll contribute to semantic modeling and self-service analytics while developing reusable platform capabilities rather than isolated solutions. The role also involves helping teammates adopt AI-first development practices through coaching, experimentation, and leading by example. With ownership extending into production operations, you’ll have a direct impact on the reliability, scalability, and AI readiness of the organization’s data ecosystem.

\nAccountabilities:

Build and maintain trusted, well-modeled, production-grade data products supporting customers, product and engineering teams, and internal business users.
Partner with product, engineering, customer-facing teams, and business stakeholders to understand data needs and translate them into scalable platform capabilities.
Help design and implement a semantic layer that provides consistent business definitions, metrics, and data models for humans, BI tools, and AI systems.
Support a federated BI approach that enables platform consumers to safely and independently develop insights and analytics.
Use AI tools as an integral part of daily engineering work, including development, testing, documentation, debugging, analysis, design, and problem-solving.
Establish and promote practical AI-first development patterns that increase productivity while maintaining engineering quality, security, governance, and trust.
Develop reusable data engineering capabilities across pipelines, integrations, testing, documentation, lineage, and governance.
Contribute to cloud infrastructure, DevOps, data architecture, and platform engineering initiatives that enable scalable and maintainable solutions.
Build and support machine-learning data pipelines for enterprise-grade software and data use cases.
Help improve AI readiness through secure data exposure, semantic modeling, governed access, vector-based capabilities, and AI-enabled workflows.
Share knowledge, coach teammates, and influence engineering practices as AI-first ways of working evolve across the organization.
Take ownership beyond development by supporting the ongoing operation and reliability of production services, including participation in enterprise on-call and incident response processes.

Requirements

Strong professional experience in data engineering, including SQL, data modeling, production data processing pipelines, testing, documentation, and data integrations.
Demonstrated ability to build high-quality data products with clear ownership, definitions, testing practices, lineage, governance, and operational reliability.
Strong understanding of AI-ready semantic modeling, business metrics, business definitions, secure API-based data exposure, and self-service analytics.
Platform or product-oriented mindset, with experience building reusable capabilities rather than one-off solutions.
Solid understanding of cloud infrastructure, DevOps practices, data architecture, and production engineering environments.
Demonstrable experience using AI tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar solutions in real engineering delivery.
Ability to clearly explain how AI has changed your development workflow, including where it adds value, where it can fail, and how you validate and improve AI-generated outputs.
Practical experience using AI for activities such as coding, testing, debugging, documentation, technical analysis, system design, or development productivity.
Experience helping colleagues or teams adopt AI-first development practices through coaching, knowledge sharing, and leading by example.
Experience building machine-learning pipelines for enterprise-class software solutions.
Strong communication, ownership, initiative, and collaboration skills, particularly suited to working within a small platform-focused team.
Experience working with technologies such as Snowflake, dbt, Airbyte, Airflow, Python, Terraform, Kubernetes, Helm, Azure, Kafka, Debezium, GitLab, prompt engineering, vector databases, LangChain, or LangGraph is valuable.
Experience working with regulated, privacy-sensitive, or healthcare-related data environments would be an asset.

Benefits

Compensation designed to recognize your skills, experience, and contribution.
Flexible hybrid and remote working options, with teleworking available to the extent permitted by the role and operational requirements.
Recurring hybrid work allowance.
4 to 6 weeks of paid vacation per year.
5 paid personal days annually.
Group RRSP / DPSP plan with employer contributions.
Comprehensive group insurance coverage starting from day one.
Annual wellness allowance.
Access to the Lumino Health telehealth application.
Flexible working hours.
Opportunity to work on a modern, AI-enabled data platform with significant scope for technical ownership and innovation.
Collaborative environment within a small platform team where initiative, knowledge sharing, and continuous improvement are encouraged.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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