IT & data jobs in Canada (5,211 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 5,211
Employers: 2,153

Advertised starting pay

Average starting payCAD / year: $97,925Across 514 listings
Average starting payCAD / hour: $51.05Across 368 listings

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

Where work happens

Remote: 4%205 listings
Hybrid: 39%2,018 listings
On-site: 57%2,973 listings

Not specified: <1% (15 listings)

Employers hiring include TD (93), S M Software Solutions Inc (90), J&M Group (50).

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

Email me new jobs Save this search

Added 1 month ago
S
Software Engineering Manager
Spellbook
Remote, Canada
- Full-time
- Remote
Added 1 month ago
A
Software Development Manager, Amazon
Amazon
Vancouver, BC
- Full-time
Added 1 month ago
MH
Network Security Analyst – ICAT Infrastructure
Mackenzie Health
Vaughan, ON
- $51.04 to $60.61 CAD / hour
- Full-time
Added 1 month ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Added 1 month ago
LI
Data Engineer
Loopio Inc.
Remote, Canada
- $103,500 to $140,000 CAD / year
- Full-time
- Remote
Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features…
Added 1 month ago
Enterprise Data Analyst
Canadian Natural
Calgary, AB
The Enterprise Data & Analytics team is seeking a highly skilled Enterprise Data Analyst to help advance the organization's data management and governance capabilities. This role applies…
Added 1 month ago
B
Data Scientist
BMO
Toronto, ON · FCP
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 1 month ago
B
Machine Learning Engineer
BMO
Toronto, ON · FCP
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
Added 1 month ago
L
Business Data Analyst
LawDepot
Remote, Canada
- Full-time
- Remote
As a Business Data Analyst, you will partner with Product Owners to design experiments, analyze customer behaviour, and turn complex data into clear, actionable recommendations. Your work…
Added 1 month ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
…lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform. The ideal candidate will possess deep expertise in Azure Databricks, ADLS,…
Added 1 month ago
L
Senior Data Analyst
Luxoft
Mississauga, ON
- Full-time
…for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform…
Added 1 month ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Added 1 month ago
JP
Data Engineer
Jim Peplinski Capital
Calgary, AB
- Full-time
…the modern model of fleet management, one that starts with data as the catalyst for smarter fleets, optimized assets, and more resilient…
Added 1 month ago
C
ETL Data Engineer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The ETL Data Engineer is responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team.…
Added 1 month ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 1 month ago
V
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
Added 1 month ago
Senior Information Security Analyst
Scotiabank
Toronto, ON
Added 1 month ago
G
Information Security Analyst
Glocomms
Montreal, QC
- Full-time
Added 1 month ago
S
Senior Data Engineer – Capital Markets
Synechron
Mississauga, ON
- 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 1 month ago
A
Lead Technical Data Analyst - Data Warehouse Services
Aylo
Montreal, QC
- Full-time
Added 1 month ago
CG
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 1 month ago
JG
Senior Technical Business Systems Analyst
J&M Group
Toronto, ON
- Full-time
Reconcile data across GitHub, Bitbucket, ServiceNow, CMDBs, spreadsheets, and other systems.
Added 1 month ago
L
Senior Data Analyst\Rules Writer
Luxoft
Mississauga, ON
- Full-time
…for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform…
Added 1 month ago
Senior Help Desk Support & System Administrator
Strategic Group
Calgary, AB
Added 1 month ago
Senior OT & SCADA Cybersecurity Specialist
CBCL Limited
Halifax, NS

AceStack LLC

AWS Cloud Data Engineer / Toronto, ON / Onsite / Full-Time (FTE)

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Experience: 10+ Years
Posting language: English
Posted: Sep 14, 2026

Original job description

Job Title: AWS Cloud Data Engineer

Location: Toronto, ON

Work Model: Onsite

Employment Type: Full-Time (FTE)

Experience: 10+ Years

Job Overview

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 experience building scalable data platforms, developing ETL/ELT pipelines, and supporting large-scale data migration and modernization initiatives, particularly within the Banking and Financial Services domain.

The role will focus heavily on modernizing legacy IBM Netezza workloads and migrating data platforms to AWS-based data lake and data warehouse architectures.

Required Technical Skills

Strong experience in Data Engineering, Data Warehousing, and AWS Cloud
Amazon S3 – Data Lake architecture and implementation
AWS Glue – ETL/ELT development
AWS Lambda – Serverless data processing
Amazon Redshift – Data warehousing
AWS Step Functions – Workflow orchestration
AWS IAM – Identity, access management, and security
AWS CloudWatch – Monitoring and operational support
IBM Netezza – Development, administration, or migration experience
ETL/ELT design and development
Data warehouse architecture and data modeling
Data migration and modernization
CI/CD pipeline implementation
Apache Spark and distributed data processing
Strong understanding of data security, governance, quality, and compliance

Key Responsibilities

Data Engineering & Development

Design, develop, and maintain scalable AWS-based data pipelines and data processing workflows.
Build and manage enterprise data lakes and data warehouses using Amazon S3, Amazon Redshift, and related AWS services.
Develop robust ETL/ELT pipelines using AWS Glue, Lambda, Apache Spark, and other data engineering technologies.
Implement batch and streaming data ingestion frameworks.
Develop reusable frameworks for data ingestion, transformation, validation, and loading.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Monitor, troubleshoot, and resolve data pipeline and workflow issues.
Implement data quality checks and validation processes across data pipelines.

AWS Cloud & Data Architecture

Design and implement cloud-native data solutions following AWS architecture and engineering best practices.
Develop scalable and highly available data architectures for enterprise workloads.
Implement security and access controls using AWS IAM and other AWS security capabilities.
Configure and maintain operational monitoring and alerting using AWS CloudWatch.
Ensure data platforms meet organizational requirements for security, governance, privacy, quality, and compliance.
Identify opportunities to improve platform performance, scalability, reliability, and cloud cost optimization.

Data Migration & Modernization

Analyze existing IBM Netezza environments, workloads, data structures, and ETL processes.
Design and implement migration strategies from IBM Netezza to AWS-based data lake and data warehouse platforms.
Develop migration pipelines and transformation processes to move legacy workloads to AWS.
Validate data completeness, accuracy, performance, and functionality following migration.
Ensure appropriate feature parity and optimize workloads for the target AWS environment.
Support migration activities across development, testing, deployment, and production environments.
Troubleshoot migration-related data and performance issues.

Testing & Deployment

Develop and execute unit tests for data pipelines and transformation logic.
Support QA, SIT, UAT, regression, and performance testing activities.
Implement automated deployment processes using CI/CD pipelines.
Promote data engineering solutions across development, QA, and production environments.
Support production releases, deployment validation, and post-production stabilization.
Maintain technical documentation for data pipelines, architectures, migration processes, and operational procedures.

Domain Experience

Strong experience in Banking and Financial Services environments.
Understanding of enterprise banking data, financial data platforms, regulatory requirements, and data governance.
Experience working with large-scale enterprise data migration or modernization programs is highly preferred.

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Strong problem-solving and analytical skills.
Experience working in Agile/Scrum development environments.
Excellent communication and collaboration skills.
Ability to work effectively with data architects, developers, QA teams, business stakeholders, and cloud engineering teams.

Apply About employer

More about this job

Responsibilities

Design and maintain scalable AWS-based data pipelines and enterprise data lakes using S3 and Redshift. Lead the migration of legacy IBM Netezza workloads to modern AWS cloud architectures within the banking sector.

Requirements

Requires over 10 years of experience in data engineering and AWS cloud technologies, specifically with Glue, Lambda, and Redshift. Strong background in Banking and Financial Services and experience with IBM Netezza migration is highly preferred.

Skills

AWS Cloud
Data Engineering
Data Warehousing
Amazon S3
AWS Glue
AWS Lambda
Amazon Redshift
AWS Step Functions
AWS IAM
AWS CloudWatch
IBM Netezza
ETL/ELT
Apache Spark
CI/CD
Data Modeling
Data Migration

Visa sponsorship

Not detected in the job text

Keywords

AWS
Cloud Computing
Data Lake
Data Warehouse
ETL
ELT
Amazon S3
AWS Glue
AWS Lambda
Amazon Redshift
AWS Step Functions
AWS IAM
AWS CloudWatch
IBM Netezza
Apache Spark
CI/CD
Data Governance
Data Security
Banking
Financial Services
Agile
Scrum
Data Migration
Modernization
Distributed Data Processing
Data Quality
Cloud Architecture
Serverless
Workflow Orchestration
Data Modeling

Report this job