IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 9, 2026

Hiring at a glance

View jobs

Open jobs: 2,647
Employers: 1,367

Advertised starting pay

Average starting payCAD / year: $96,654Across 259 listings
Average starting payCAD / hour: $47.55Across 115 listings
Average starting payUSD / year: $118,122Across 47 listings

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

Where work happens

Remote: 5%136 listings
Hybrid: 39%1,032 listings
On-site: 56%1,470 listings

Not specified: <1% (9 listings)

Employers hiring include TD (49), J&M Group (39), Amazon (35).

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

IT & data jobs in Canada

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Added 10 days ago
SA
Senior Data Engineer
Style Analytics
Montreal, QC
- Full-time
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our…
Added 10 days ago
NB
Lead Data Engineer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows…
Added 10 days ago
CS
Application Security Engineer
Cybage Software
Canada
- Contract
…focused on modern technologies, and are enabled by a scientific, data-driven system called the Excel Shore Model of Operational…
Added 10 days ago
WT
IT Support Technician (Microsoft Solutions Specialist)
Webhorse Technologies
Inuvik, NT
- Full-time
Added 10 days ago
C
Sr. Business System Analyst (AML & Payments)
CGI
Toronto, ON
- Full-time
…background within the banking or financial services domain, strong data analytical skills, and experience supporting regulatory…
Added 10 days ago
SM
Database Administrator
Summerhill Market
Toronto, ON
- Full-time
Summerhill Market is looking for a detail-oriented, tech-savvy, and curious Data Coordinator to join our IT & Data team. This is an entry-level opportunity for someone interested in…
Added 10 days ago
Senior Business Systems Analyst - Guidewire (Policy Center)
CAA Club Group
Thornhill, ON
Added 10 days ago
R
Senior Data Scientist, Fraud Applied AI and Innovation
RBC
Toronto, ON
- Full-time
Added 10 days ago
OF
cybersecurity consultant
OIC Foods Inc.
Mississauga, ON
- Full-time
Added 10 days ago
DS
Analyste de données / Data Analyst
Data Sciences
Montreal, QC
- Full-time
Fondée en 2015, Data Sciences (DS) n'est pas une agence comme les autres. Nous sommes un groupe d’experts de pointe en analyse de données, en recherche, en marketing numérique et en…
Added 10 days ago
T
Sr. Business Systems Analyst, TD Securities
TD
Toronto, ON
- Full-time
Added 10 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 10 days ago
SH
IT - Support Analyst 1, Revelstoke
Sandman Hotel Group
Revelstoke, BC
- Full-time
Added 10 days ago
JG
Mainframe Network Administrator
J&M Group
Canada
- Full-time
Added 10 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Added 10 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Added 10 days ago
O
Senior Data Modeler
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 10 days ago
T
IT Support Analyst IV, TD Securities
TD
Toronto, ON
- Full-time
Added 10 days ago
LS
Data Analyst
Lansdowne Stadium Limited
Ottawa, ON
- Full-time
Reporting to the Director, Digital Marketing and Business Intelligence, the Data Analyst is responsible for maintaining, optimizing, and improving our ticket sales reporting within the…
Added 10 days ago
A
Salesforce & RevOps Systems Administrator
Amilia
Montreal, QC · Greater Montreal, QC
- Full-time
Added 10 days ago
Senior Data Engineer
Tubi - Canada
Toronto, ON
As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights.…
Added 10 days ago
SC
IT Support Specialist
Safety Codes Council
Edmonton, AB
- Full-time
Added 10 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Added 10 days ago
C
IT Support Specialist Level 1
Confidential
Longueuil, QC
- Contract
Added 10 days ago
H
Data Architect
Hays
Toronto, ON
- Contract

Ledcor

Senior Data Engineer

Vancouver, BC, Canada

$94,400.00 - $129,800.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $94,400.00 - $129,800.00
Job type: Full-time
Experience: 6+ years of professional experience in data engineering, data modeling, or related disciplines
Posting language: English
Posted: Sep 24, 2026

Original job description

Ledcor is hiring a Senior Data Engineer to join our Data & Analytics Platform team. In this role, you will design, build, and maintain enterprise-scale data solutions that support reporting, analytics, and operational intelligence across Ledcor's construction and infrastructure businesses. Reporting to the Senior Manager, Data & Analytics Platform, you will work across the full data lifecycle - from source system ingestion and enterprise data modeling through to analytics delivery and governance.

You will require deep expertise in data engineering and data modeling, and you will apply that knowledge across a modern Azure Databricks and Delta Lake platform using a medallion architecture approach. You will partner closely with report developers, business analysts, project stakeholders, and platform administrators to ensure trusted, secure, and scalable data solutions are delivered across the organization.

Come and join the True Blue team and apply today!

Essential Responsibilities

Design, build, and maintain production-grade data pipelines using PySpark and Databricks Spark Declarative Pipelines (SDP), including Python and SQL transformations across medallion architecture layers
Configure and contribute to metadata-driven ingestion processes using YAML-based configurations and code generation frameworks that automate pipeline creation
Support infrastructure-as-code deployments using Databricks Asset Bundles (DAB) and implement data quality expectations and monitoring throughout pipeline stages
Design conceptual, logical, and physical data models using Information Engineering (crows-foot) notation, applying Inmon, Kimball, and Data Vault methodologies as appropriate
Build and maintain normalized enterprise data structures and dimensional analytics models, including business key and surrogate key strategies, SCD patterns, and referential integrity standards
Contribute to enterprise modeling standards, naming conventions, and data governance practices
Implement row-level and column-level security policies using Unity Catalog; configure role-based and attribute-based access controls, data classification, and governance metadata
Define and enforce automated data quality checks across pipelines; develop validation, regression, and reconciliation testing processes between source and target systems
Contribute to team testing standards and deployment validation practices

Qualifications

Bachelor's degree in Computer Science, Statistics, Information Management, or related field
6+ years of professional experience in data engineering, data modeling, or related disciplines
5+ years designing conceptual, logical, and physical data models with strong expertise in 3NF normalization and dimensional modeling
Experience applying Inmon and Kimball methodologies; ability to design business keys, surrogate keys, and Slowly Changing Dimensions (SCD)
Hands-on experience building production data pipelines on modern cloud platforms such as Databricks, Snowflake, BigQuery, or Synapse
Strong proficiency in Python, PySpark, and SQL for large-scale data transformation
Experience with medallion or multi-layered data architectures, streaming ingestion, change data capture (CDC), and incremental load strategies
Familiarity with CI/CD practices, automated deployment pipelines, and infrastructure-as-code concepts
Strong written and verbal communication skills; ability to convey technical concepts to non-technical stakeholders
Databricks Data Engineer or Microsoft Azure Data Engineer certification is an asset
Experience with Unity Catalog, Data Vault 2.0, metadata-driven pipeline frameworks, or AI-assisted development tools is an asset

Work Environment

Hybrid work model – home and office based
Travel required on occasion (<25% of the time)

Compensation

$94,400.00 - $129,800.00

This is the expected base pay range for this role. Individual base pay will be determined based on a variety of factors including experience, knowledge, skills, education and location.

Our competitive total rewards package provides compensation and benefits that support your physical, mental and financial wellbeing. We offer exciting, challenging work with opportunities to develop your skills and knowledge.

Additional Information

The Ledcor Group of Companies is one of North America’s most diversified construction companies. Ledcor is a company built on a rich history of long-standing project successes.

Our workplace culture has been recognized as one of Canada’s Best Diversity Employers, Canada’s Most Admired Corporate Cultures, and a Top 100 Inspiring Workplace in North America.

Employment Equity

At Ledcor we believe diversity, equity, and inclusion should be part of everything we do. We are proud to be an equal-opportunity employer. All qualified individuals, regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other identifying characteristic are encouraged to apply.

Our True Blue team consists of individuals from all backgrounds who contribute diverse perspectives and experiences to Ledcor. We are committed to continuing to build on our culture of empowerment, inclusion and belonging.

Adjustments will be provided in all parts of our hiring process. Applicants need to make their needs known in advance by submitting a request via email. For more information about Ledcor’s Inclusion and Diversity initiatives, please visit our I&D page.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain enterprise-scale data pipelines and solutions using Azure Databricks and medallion architecture. Collaborate with stakeholders to ensure secure, scalable, and trusted data delivery across the organization.

Requirements

Requires a bachelor's degree in a relevant field and 6+ years of professional experience in data engineering and modeling. Proficiency in Python, PySpark, SQL, and cloud-based data platforms is essential.

Skills

Data Engineering
Data Modeling
PySpark
Python
SQL
Azure Databricks
Delta Lake
Medallion Architecture
Data Governance
Unity Catalog
CI/CD
Infrastructure-as-code
Data Pipelines
Dimensional Modeling
Inmon Methodology
Kimball Methodology

Benefits

Physical wellbeing support
Mental wellbeing support
Financial wellbeing support

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure Databricks
Delta Lake
PySpark
Python
SQL
Medallion Architecture
Data Modeling
Inmon
Kimball
Data Vault 2.0
Unity Catalog
CI/CD
Infrastructure-as-code
Databricks Asset Bundles
Metadata-driven ingestion
Streaming ingestion
Change Data Capture
Data Governance
Information Engineering
3NF Normalization
Dimensional Modeling
Data Quality
Cloud Platforms
Analytics
Operational Intelligence
Construction
Infrastructure
Enterprise Data
Automation

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