FinOps Engineer

Vaco Recruiter Services; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading Canadian energy organization seeks a candidate to analyze cloud usage and optimize costs, develop ETL pipelines using Python, and create dashboards for actionable insights. The ideal candidate will hold a bachelor's degree in computer science or finance and have 2+ years in cloud engineering. Strong knowledge of cloud services, automation, and financial management in cloud environments is vital. This role offers competitive pay rates and emphasizes collaboration and professional development in the energy sector.

Benefits

Competitive pay

Medical, dental, and vision benefits

401(k) retirement plan

Qualifications

• 2+ years in cloud engineering or DevOps with hands-on experience.
• Strong knowledge of billing and cost management for cloud services.
• Experience in building dashboards and reports using visualization tools.

Responsibilities

• Analyze cloud usage for cost optimization opportunities.
• Build and maintain ETL pipelines using Python.
• Develop dashboards for actionable insights into cloud spend.
• Automate routine FinOps tasks and contribute to backlog planning.

Skills

Cloud services knowledge

Python proficiency

Cloud financial management

Analytical mindset

Communication skills

Education

Bachelor’s degree in computer science or Finance

FinOps Certified Practitioner

Tools

Data Factory

Databricks

Parquet

Job description

About the Company

Our client is a leading Canadian energy organization with a strong presence across Ontario. They operate critical infrastructure that supports millions of customers and drives economic growth.

Why Work Here

Our client is engaging in ongoing transformation and investing in cutting-edge technologies and modernizing operations to meet the evolving needs of the energy sector. By joining, you will be part of an organization that values collaboration, professional development, and making a meaningful impact on the future of clean energy.

About the Opportunity

• Cost Optimization: Analyze cloud usage and spending patterns to identify and implement cost-saving opportunities, including rightsizing, reservations, and eliminating waste.
• Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and aggregate cost and usage data from multiple sources.
• Dashboarding & Reporting: Develop and maintain dashboards that provide actionable insights into cloud spend, usage trends, and optimization opportunities.
• Workflow Management: Contribute to backlog planning and delivery, providing technical expertise to support product and operational priorities.
• Automation: Automate routine FinOps tasks such as tagging enforcement, anomaly detection, and cost allocations.
• Collaboration: Partner with engineering, finance, and procurement teams to support budgeting, forecasting, and chargeback processes.
• Documentation: Create and maintain clear documentation for FinOps processes, tools, and best practices.
• Education: Advocate for FinOps best practices across the organization, helping teams understand the financial impact of their cloud usage.
• Governance & Compliance: Support governance and policy enforcement to ensure cloud resources remain compliant with organizational standards.

About You

• Education: Bachelor’s degree in computer science, Finance, or a related field. Certifications such as FinOps Certified Practitioner or cloud platform certifications are a plus.
• Experience: 2+ years in cloud engineering, DevOps, cloud financial management, or similar roles, with hands-on experience in cloud platforms.
• Technical Skills: Strong working knowledge of cloud services, billing, and cost management. Proficiency in Python for data processing, automation, and scripting. Experience building dashboards and reports using visualization tools. Familiarity with workflow and backlog management systems.
• Core Competencies: Solid understanding of cloud cost optimization strategies and tools. Analytical mindset with strong problem-solving skills. Excellent communication and collaboration abilities.
• Additional Skills: Experience with data engineering tools such as Data Factory, Databricks, or Parquet is an asset.

Pay Range

$87.58 - $97.58/hr

How to Apply

Click the “Apply Now” button and follow the instructions to submit your resume. Please know that we only accept documents in MS Word or Rich Text formats. When referencing this job, quote #467814.

This position for employment is for a current vacancy with Vaco/Highspring’s client. You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role.

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.