Senior Data Engineering Consultant — Hybrid & AI Analytics

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Senior Consultant in Data Engineering. This role focuses on creating analytics assets for business partners and optimizing decisions related to products and campaigns. The ideal candidate should have over 7 years of experience in data architecture, strong knowledge of Python, SQL, and Azure Cloud technologies. The position offers a hybrid work arrangement with flexibility in on-site and remote work.

Benefits

Competitive salary

Incentive pay

Defined benefit pension plan

Employee share purchase plan

Vacation offering

Wellbeing support

Qualifications

• 7+ years in data architecture and engineering roles within large-scale enterprise environments.
• 5+ years' experience in relevant programming languages and technologies.
• Experience leading execution across multiple technologies and projects.

Responsibilities

• Lead development and improvement of complex data analytics solutions.
• Establish data governance and quality frameworks.
• Drive innovation in AI for intelligent automation and decision-making.
• Track progress and analyze data and reports for performance metrics.

Skills

Python

SQL

PySpark

Azure Cloud

Databricks

Azure Data Factory

C#

Java

AI implementation

Tools

Azure DevOps

Git

Jenkins

JIRA

Job description

A leading financial institution in Toronto is seeking a Senior Consultant in Data Engineering. This role focuses on creating analytics assets for business partners and optimizing decisions related to products and campaigns. The ideal candidate should have over 7 years of experience in data architecture, strong knowledge of Python, SQL, and Azure Cloud technologies. The position offers a hybrid work arrangement with flexibility in on-site and remote work.