Job Description

Location Address: Hybrid - 44 King Street W 19th Floor, Toronto - 4/week
Subject to change: 3-4 days onsite may be required based on business needs
Contract Duration: ASAP to Oct 31, 2026 - approx. 7 months
Possibility of extension & conversion to FTE
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week
Story Behind the Need
Business group: Data Models & Analytics - the primary technology group supporting all financial functions within the CFO organization. This includes financial forecasting, planning and analysis, budgeting, treasury, performance data, and any technology solutions required by Finance. The group is an internal-facing technology team of ~300 people. Immediate team they will be working with is 6 total (others on the team are software engineers)
Typical Day in Role:

• Integrate new data pipelines from various source systems into the FP&A platform to enable its use as a core forecasting and budgeting tool.
• Build and enhance the integration engine/platform that ingests data from multiple sources.
• Apply best-practice software engineering principles throughout development.
• Contribute to the development of a full-scale data-driven application that will continue to expand as new data sources are onboarded.
• Work closely with Business Analysts and end users to translate business requirements into technical logic for data handling.
• Analyze financial data and work directly with databases.
• Role breakdown: 80% coding / 20% requirements gathering and stakeholder interaction.
• Technical Stack - Languages: Python, Apache Airflow; Platforms: Anaplan, Cloud Composer; Cloud: GCP; Infrastructure: Kubernetes; Databases: SQL, SQL Server, Postgres

Candidate Value Proposition:

• Opportunity to work on a brand-new platform built from scratch, following modern best practices (unlike legacy-heavy environments).
• Exposure to leading SaaS and cloud technologies.
• High visibility and interaction with diverse business stakeholders across a top-tier Canadian bank.
• Chance to influence and build large-scale data integrations supporting critical financial processes.

Candidate Requirements/Must Have Skills:
1) 7+ years as a Software Engineer/Developer
2) 3+ years of hands-on Python experience
3) 3+ years working with SQL databases, including writing complex, efficient queries and understanding data structures
Nice-To-Have Skills (in order of preference):
1) Experience with Anaplan would set them apart
2) Experience with Apache Airflow
3) Experience with database tools: SQL Server (preferred), or Oracle, DB2, Postgres
4) Experience working financial data and financial planning and analysis
5) Experience with Hyperion
6) Experience with cloud technologies (GCP preferred, Azure is acceptable)
7) Experience with Kubernetes
8) Experience with cloud composer
Education:

• Bachelor's degree in a technical field (e.g., Computer Science, Software Engineering)
• Anaplan certifications are an asset
• Data engineering certifications (Google Cloud, Azure) are an asset

Best VS. Average Candidate:
The strongest candidates will have experience supporting or integrating data into FP&A platforms such as Anaplan or Hyperion, combined with strong Python development skills. Additional experience building applications from scratch--whether in Python, Java, C++, or similar languages--is highly valued. A strong data-centric mindset and experience processing large datasets efficiently will stand out.

Skills Required