Intern, Data Engineering (Fall 2026) 8 month OR 4 month

Forum Asset Management – Intern, Data Engineering (Fall 2026) 8-month OR 4-month Location: In-Office, 181 Bay Street, Toronto Work Schedule: Full-time, in-office (5 days/week) from September 2026 About Forum: Delivering Extraordinary Outcomes™ through Investment. Forum Asset Management is a North American investor, developer, and asset manager with a 29-year track record of delivering long-term value through real estate, private equity, and infrastructure investments. We are a purpose-driven firm committed to sustainability, responsible investing, and making a positive impact in the communities where we invest. With over $3 billion in AUM, Forum is one of Canada's most dynamic investment platforms. In 2024, we completed the country’s largest real estate transaction through our acquisition of Alignvest Student Housing, making us the largest owner and developer of Purpose-Built Student Accommodation (PBSA) in Canada. Our open-ended Real Estate Income and Impact Fund (REIIF) is now over $2.4 billion, backed by a $3.5 billion development pipeline that spans coast to coast. Forum is also building one of the fastest-growing self-storage platforms in Canada, focused on acquiring, developing, and operating institutional-grade storage facilities in undersupplied urban markets. Position Overview: Forum Asset Management is looking for a Data Engineer Intern to help build and scale Forum’s enterprise data platform using modern cloud technologies. You’ll work on ingesting, transforming, and organizing data from a variety of sources to support analytics, reporting, and AI-driven initiatives. This role is ideal for someone interested in the full data lifecycle - from raw data to business insights. ​ This is a hands-on, in-office role with exposure to real-world data challenges in investment management and real estate. This posting is for an existing vacancy at Forum. Key Duties and Responsibilities: Assist in building and maintaining data pipelines (ETL/ELT) Ingest and clean data from internal and external sources Support development of data models and structured datasets Work with Azure tools such as Data Factory, Synapse, or Fabric Help optimize data workflows for performance and reliability Collaborate with software developers and business teams on data needs Candidate Profile: Currently pursuing a degree in Computer Science, Data Science, Engineering, or related field Proficiency in Python and/or SQL Understanding of data structures and basic data modeling concepts Interest in data engineering, analytics, or big data systems Strong analytical and problem-solving skills Nice to Have: Exposure to cloud platforms (Azure preferred) Familiarity with ETL pipelines or data processing tools Interest in AI/ML or working with large datasets Invest in Yourself: Compensation – We are committed to supporting your success and are offering a salary range of $900/week CAD for this position. Learning and Development Opportunities – We believe in Best Idea Wins and foster an entrepreneurial environment where your input has real impact. Diverse & Inclusive Team – We celebrate diverse perspectives and are committed to maintaining the highest standards of equity and inclusion. Quarterly All Teams – Sessions with your colleagues across the business to share insights, celebrate success, and spotlight culture. Lunch & Learns – Regular opportunities to connect, learn, and exchange knowledge with peers across the business. Artificial Intelligence (AI) Usage: Forum uses AI tools to support the screening and assessment of applications for this role. These tools inform, but do not replace, the judgment of our human hiring team, who make all final hiring decisions. Forum Commitment: At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team know recruiting@forumam.com

Build and maintain ETL/ELT data pipelines to ingest and clean data from various sources. Support the development of data models and optimize workflows using Azure tools to support analytics and AI initiatives.

Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field. Proficiency in Python and SQL is required, with an interest in big data systems and cloud platforms.

• Learning And Development Opportunities • Quarterly All Teams Sessions • Lunch & Learns

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Data Modeling
• ETL/ELT
• Azure Data Factory
• Azure Synapse
• Azure Fabric
• Data Pipeline Construction
• Data Cleaning
• Analytical Skills
• Problem Solving

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting

Formation minimale

Baccalauréat

Expérience minimale

0+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine