Data engineer jobs in Canada (801 jobs)

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

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 801
Employers: 392

Advertised starting pay

Average starting payCAD / year: $103,171Across 89 listings
Average starting payCAD / hour: $63.78Across 36 listings

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

Where work happens

Remote: 4%33 listings
Hybrid: 40%317 listings
On-site: 56%447 listings

Not specified: <1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (27), J&M Group (15).

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

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Added 1 month ago
J
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 1 month ago
M
Data Engineer
Mantu
Montreal, QC
- Full-time
Data Engineer | Python & Database Engineering | Montreal
Added 1 month ago
AS
Data Engineer
AgileGrid Solutions
Canada
- Full-time
Added 1 month ago
AL
AWS Cloud Data Engineer / Toronto, ON / Onsite / Full-Time (FTE)
AceStack LLC
Toronto, ON
- Full-time
We are seeking an experienced AWS Cloud Data Engineer with strong expertise in data engineering, data warehousing, and AWS cloud technologies. The ideal candidate will have hands-on…
Added 1 month ago
J
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 1 month ago
BI
Data Engineer
BALLY’S INTRALOT SA
Toronto, ON
- Full-time
Added 1 month ago
JG
Data Engineer
J&M Group
Toronto, ON
- Full-time
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…
Added 2 months ago
CS
Data Engineer
CompuMed Solutions
Breslau, ON
- Full-time
We seek a highly skilled Data Engineer with expertise in the Microsoft data stack to join our dynamic team. The ideal candidate will have strong data modeling, data visualization, and…
Added 1 month ago
JG
Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Resource have strong data warehouse technical knowledge.
Added 1 month ago
Data Engineer (Hybrid)
First West
Langley (District), BC · Langley, BC
We are currently seeking a Data Engineer to join our team.
Added 1 month ago
O
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 1 month ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 1 month ago
Senior Data Engineer
Capgemini
Calgary, AB
Added 2 months ago
P
Senior Data Engineer
Pomerleau
Montreal, QC
- Full-time
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 2 months ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 2 months ago
Senior Data Engineer - Calgary
Capgemini
Calgary, AB
Added 2 months ago
PI
Staff Data Engineer
PENN Interactive
Canada
- Full-time
Added 2 months ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 2 months ago
K
Machine Learning Data Engineer
kadence
Montreal, QC
- Full-time
Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.
Added 2 months ago
M
Staff Data Engineer
MaintainX
Montreal, QC
- Full-time
Added 2 months ago
M
Staff Data Engineer
MaintainX
Toronto, ON
- Full-time
Added 2 months ago
P
Senior Data Engineer - Snowflake - Contract
Propel
Canada
- Contract
We are looking for a Snowflake Data Engineer to help build and maintain their cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately…
Added 2 months ago
Senior Data Engineer - Calgary
Capgemini
Calgary, AB
Added 2 months ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 2 months ago
F
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
- Full-time
- Remote
…one of North America’s most trusted platforms for financial data access, enrichment, and money movement. We work with innovators across many industries, including lending, fintech, banking,…

Appnovation Technologies

Senior Data Engineer, AI & Agents

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 4, 2026

Original job description

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The role centers on building and registering domain-grounded data agents over governed datasets, performing lakehouse migrations, and onboarding new data domains - including commercial, finance, research and development, and real-world data - onto the enterprise data platform. You will operate across Databricks and Snowflake, converting source tables to open formats and generating the catalogue metadata that powers downstream automation and data-contract workflows, all while ensuring high data quality, governed access, and reliable agent-based access to trusted data. The ideal candidate brings deep, hands-on data engineering expertise, strong governance instincts, and excellent stakeholder-facing skills.

Key Responsibilities

Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
Perform lakehouse migrations, including converting source tables to open formats (e.g., Apache Iceberg) to enable agent-based access.
Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows.
Partner with business stakeholders and subject-matter experts through iterative build, test, and validation cycles.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
5+ years of professional experience in data engineering, with significant hands-on experience across modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
Strong data engineering background with genuine, hands-on fluency across both Databricks and Snowflake.
Demonstrated experience building data agents or query interfaces over governed datasets (e.g., Snowflake Cortex or Genie).
Advanced SQL together with Spark / PySpark, and experience with pipeline orchestration (dbt, Apache Airflow, or Databricks Workflows).
Experience implementing data quality, observability, and lineage, and applying governance controls such as masking and row- and column-level security.
Excellent stakeholder-facing skills, with a track record of translating business requirements into delivered data assets.

Preferred Skills

Familiarity with MCP-based data exposure and with embeddings or vector search for retrieval-augmented use cases.
Experience with AWS and S3, in anticipation of onboarding native cloud data sources.
Experience with regulated life-sciences data domains (clinical, commercial, or real-world data).

Technical Experience

Data platforms: Databricks, Snowflake (Cortex, Genie); AWS and S3.
Pipelines and modelling: SQL, PySpark, dbt, Airflow / Databricks Workflows.
Governance and catalogue: Unity Catalogue, Horizon, Collibra.
AI and agents: MCP; vector databases and embeddings.
Foundations: Python; YAML data contracts; Apache Iceberg; Git and CI/CD.

Who you are

Agent-Oriented Builder: You enjoy turning governed datasets into reliable, domain-grounded agents that business users can query with confidence.
Quality-Focused: You are rigorous about data accuracy, lineage, and observability, ensuring high standards through validation before data reaches agents or the business.
Collaborative Partner: You thrive working directly with stakeholders and subject-matter experts through iterative build, test, and validation cycles.
Governance-Minded: You understand the critical nature of data security in regulated domains and proactively apply masking and row- and column-level controls.
Forward-Thinking: You are interested in the “big picture” of lakehouse architecture and open formats, eager to advance agent-based access patterns and best practices.

What Appnovation Offers

Challenging and rewarding work with real impact
Direct Access to Cutting-Edge AI Platforms
Diverse and Inclusive Culture
Growth opportunities for personal and professional development
A collaborative and innovative work environment where your ideas are valued
Exposure to exciting projects and high-profile clients
Supportive work environment with access to company leaders
Hybrid working model

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

Apply About employer

More about this job

Responsibilities

You will build and register domain-grounded data agents over governed datasets while performing lakehouse migrations. You will also partner with business stakeholders to curate catalogue metadata and ensure reliable, high-quality data access.

Requirements

The role requires a Bachelor’s or Master’s degree in a technical field and at least 5 years of professional experience in data engineering. Candidates must demonstrate hands-on fluency with Databricks, Snowflake, and modern data pipeline orchestration tools.

Skills

Data Engineering
Databricks
Snowflake
PySpark
SQL
Apache Iceberg
Data Governance
Data Modeling
Pipeline Orchestration
dbt
Apache Airflow
Data Quality
Data Lineage
Vector Search
Cloud Platforms
AI Agents

Benefits

Challenging and rewarding work
Direct access to cutting-edge AI platforms
Diverse and inclusive culture
Growth opportunities
Collaborative and innovative work environment
Hybrid working model

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI Agents
Databricks
Snowflake
Lakehouse
Apache Iceberg
SQL
PySpark
dbt
Apache Airflow
Data Governance
Unity Catalogue
Collibra
Vector Databases
Embeddings
AWS
S3
Data Quality
Data Lineage
CI/CD
YAML
Python
Cloud Computing
Data Contracts
Life Sciences
Automation
Metadata
Retrieval-Augmented Generation
Data Warehousing
Stakeholder Management

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