AWS Data Engineer - AI Platform

Hays; Toronto; Hybrid; CAD 100,000 - 125,000; Full time

Job summary

A leading global financial services organization in Toronto seeks a skilled Data and AI Platform Engineer to design and build AWS infrastructure while mentoring a team. This mid-senior level contract role focuses on leveraging cutting-edge cloud technologies and offers a competitive hourly rate with a hybrid work environment.

Benefits

Competitive hourly rate

Opportunity to work on high-impact projects

Experience with cutting-edge cloud and AI technologies

Collaborative team environment

Potential for future opportunities

Qualifications

• 7+ years as Cloud Infrastructure Engineer in Data/Data warehousing technologies.
• 10+ years relevant experience with a degree.
• Expertise in AWS, Data Lake, and CI/CD pipelines.

Responsibilities

• Design and build AWS infrastructure for cloud projects.
• Lead and mentor a team in data systems architecture.
• Implement disaster recovery and promote development best practices.

Skills

Data Lake

Data Warehousing

Distributed Systems

ML infrastructure

AWS

Azure

Terraform

CI/CD Pipelines

Python

Data Migration

Education

Post-secondary degree in a related field

Tools

AWS EMR

HTML/OpenSearch

AWS QuickSight

Power BI

Job description

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Data and AI Platform Engineer - Cloud Infrastructure Engineer

Location: Toronto, Canada (Onsite presence required a few days per week)

Contract Length: July 1 2025 – October 31, 2025

Rate: $80-100/Hour

Project: Data and AI Platform Engineering on AWS

This is a senior role:

• Around 7+ years of experience as a Cloud Infrastructure engineer in Data /Data warehousing technologies.
• Around 10+ relevant experience

Your new company

Join a leading global financial services organization based in Toronto, committed to innovation and excellence in data-driven solutions. This company is focused on leveraging cutting-edge cloud technologies to transform their data and AI platforms, driving business growth and operational efficiency.

Your new role

As a Data and AI Platform Engineer, you will be a key member of the cloud engineering team responsible for designing and building robust AWS infrastructure. You will collaborate closely with development teams to provision platform services supporting complex ETL/ELT pipelines and machine learning solutions. Your role involves architecting scalable, low-latency data systems, implementing disaster recovery, and promoting best practices in software development. You will also lead and mentor a talented team, contributing to their growth and the success of backend distributed systems.

What you'll need to succeed

• 7+ years of experience as a Cloud Infrastructure Engineer specializing in Data and Data Warehousing technologies
• 10+ years of relevant experience with a post-secondary degree or equivalent in a related field
• Strong expertise in Data Lake, Data Warehousing, Distributed Systems, and Data Infrastructure concepts
• Solid experience with ML infrastructure and ML DevOps
• Proven experience migrating data from on-premis Hadoop to AWS/Azure Cloud environments
• Deep understanding of core AWS and Azure services and architecture best practices
• Hands-on skills in database architecture, business intelligence, machine learning, advanced analytics, and big data
• Proficiency in building CI/CD pipelines for infrastructure and code deployment
• Excellent communication skills to provide consulting and technical support across teams
• Experience provisioning and architecting cloud services including:
• CDK & TypeScript, NodeJS, Python, Terraform
• CodePipeline, CI/CD, Build/Deploy tools
• AWS EMR, Glue, Managed Airflow, Lake Formation, Athena, S3, ELK/OpenSearch
• RDS, Redshift, DocumentDB, Neptune, Data Migration Service
• EC2, IAM, Secrets Manager, Systems Manager, CloudWatch
• AWS QuickSight and Power BI (reporting tools)
• Azure Data and Data Warehousing services (a plus)
• Ability to work onsite in Toronto a few days per week

What you'll get in return

• Competitive hourly rate
• Opportunity to work on a high-impact project with a prestigious financial client
• Gain experience with cutting-edge cloud and AI technologies in a collaborative environment
• Work alongside and learn from a talented team of cloud and data engineers
• Contract duration: July 1 2025 – October 31, 2025, with potential for future opportunities
• Hybrid work environment with onsite presence in Toronto

What you need to do now

If you are a skilled Cloud Infrastructure Engineer with a passion for data platforms and AI, eager to make a significant impact in a dynamic financial services environment, apply today! Submit your updated resume and a brief cover letter highlighting your relevant experience and availability for onsite work in Toronto.

We look forward to connecting with you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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