Business Systems Engineer Intern, Finance Technology (Summer 2027)
Lyft Toronto, CanadaEst. Est. CAD 60–80 / hourInternship
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- Sql
- Excel
- Oracle
- Erp
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
We are seeking a motivated, technical student to join our Corporate FinTech team as a Business Systems Engineer Intern. This internship offers hands-on experience supporting the full suite of FinTech applications, modernizing finance and business operations through automation, integration, and AI. You'll work alongside finance, systems, and engineering partners across ERP, HCM, Procurement, Supply Chain, and FP&A to streamline processes, reduce manual work, and build scalable solutions for a public company.
Some things you'll gain and learn during this internship include:
Hands-on experience across enterprise FinTech applications, including Oracle ERP, Oracle HCM, and Workato
Practical exposure to applying AI and RPA to real finance and business problems
Exposure to corporate finance, HR, procurement, supply chain, and FP&A processes at a public company
Mentorship from experienced FinTech, automation, and technical professionals
Understanding of how system integration and automation drive finance transformation
Experience working with cross-functional stakeholders across Finance, HR, Procurement, IT, and Engineering
Professional development in agile methodologies and project management
Potential pathway to full-time opportunities within our growing FinTech organization
Responsibilities:
Support FinTech applications and processes across Procurement, Supply Chain, and FP&A, including Oracle ERP, Oracle HCM, Jira, and Google Workspace
Design, build, and maintain automation workflows using Workato, Python, and related tools under the mentorship of senior team members
Identify manual, repetitive processes across finance and business operations and help translate them into automated, well-documented solutions
Write SQL queries to extract, transform, and validate data across source systems
Support data validation and reconciliation processes to ensure accuracy across integrations, reports, and applications
Explore and prototype AI-powered solutions using tools such as LangChain, Workato AI, and UiPath
Configure and maintain Jira automation rules to support intake, tracking, and delivery of FinTech projects
Assist in building reports and dashboards that give stakeholders visibility into financial and operational data
Participate in testing of new automations, integrations, configuration changes, and system updates
Learn to gather business requirements from stakeholders and translate them into functional technical solutions
Provide first-level end-user support and troubleshooting across FinTech applications and automated workflows
Participate in stakeholder meetings, process mapping sessions, and training
Experience:
Currently pursuing a Bachelor's or Master's degree at a university in Canada (required) in Computer Science, Data Engineering, Information Systems, Finance, or a related field, with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience
Available during Summer 2027 for the internship in Toronto
Working knowledge of Python for scripting, data manipulation, or automation
Proficiency in SQL for querying and analyzing data
Experience with or strong interest in Workato or similar integration platforms
Proficiency with AI frameworks such as LangChain, Workato AI
Experience with automation tools such as Jira automation, Python scripting
Basic understanding of financial reporting
Proficiency in Excel and Google Workspace
Strong analytical and problem-solving abilities with attention to detail
Excellent communication skills and ability to explain technical concepts to non-technical par
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