Contract Financial Data Engineer Jobs in Toronto, ON

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$96,900 - $136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and analytics foundation for an enterprise FinOps capability.
This role will support cost transparency, allocation, forecasting, optimization, governance, and executive reporting across cloud, AI, data platforms, and broader technology consumption. The successful candidate will work closely with FinOps, Finance, Engineering Analytics, Cloud Engineering, Procurement, and Technology leadership to turn complex technology spend data into trusted, auditable, and actionable insights.

KEY ACCOUNTABILITIES

• Build and maintain FinOps data pipelines from ingestion through reporting and self-service analytics.
• Normalize cloud and technology spend data across provider feeds, including alignment to standards such as FOCUS where applicable.
• Integrate billing, usage, tagging, metadata, CMDB, application, owner, finance, contract, and vendor data.
  Support cost taxonomy, allocation rules, metadata standards, showback, chargeback, forecasting, and auditability.
• Create trusted datasets for cost reporting by business unit, product, application, environment, owner, platform, and vendor.
• Build analytics to support budget guardrails, variance reporting, anomaly detection, remediation workflows, and optimization tracking.
• Support commitment-based spend analysis, including reservation, savings plan, coverage, utilization, and waste reporting.
• Develop reporting for rightsizing, idle resource cleanup, quota tuning, license reclamation, and other optimization opportunities.
• Build models and dashboards for unit economics, TCO, ROI tracking, and business outcome-based cost analysis.
• Partner with Engineering Analytics to deliver enterprise dashboards, automated alerts, recommendations, and workflow automation.
• Ensure data quality, lineage, reconciliation, documentation, controls, and auditability across FinOps data assets.
• Reduce manual reporting and spreadsheet dependency through automation.

EXPERIENCE & EDUCATION

• 5-10 years of experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role.
• University degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Finance, Business Analytics, or a related field.
• Strong experience with SQL, data modeling, ETL/ELT pipelines, and large complex datasets.
• Experience integrating data across multiple enterprise systems.
• Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft Fabric, SQL Server, or similar tools.
• Experience with BI/reporting tools such as Power BI, Tableau, Looker, or similar platforms.
• Strong understanding of data quality, reconciliation, controls, lineage, documentation, and governance.
  Preferred qualifications
  
• Experience with Cloud FinOps, technology finance, infrastructure finance, FP&A, or cost management.
• Familiarity with Azure, AWS, or Google Cloud billing and usage data.
• Knowledge of cloud tagging, allocation, chargeback/showback, forecasting, reservations, savings plans, anomaly detection, and optimization tracking.
• Exposure to FOCUS billing data standard, unit economics, AI cost management, data platform economics, or software usage-based contracts.
• Experience in banking, financial services, regulated enterprises, or large technology organizations.
• Certifications in FinOps, Azure, AWS, GCP, Databricks, Power BI, or data engineering are assets.
  

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet