Intern, Data Engineer (8 Months) at Picton Mahoney Asset Management | CA | Rezi

Intern, Data Engineer (8 Months) at Picton Mahoney Asset Management

Intern, Data Engineer (8 Months)

Picton Mahoney Asset Management · CA

2 weeks ago

Intern, Data Engineer (8 Months)

Picton Mahoney Asset Management · CA

18 days ago
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About the Role

PICTON Investments is seeking a dynamic Intern, Data Engineer with a passion for Asset Management to join our Digital Product team for an 8-month internship. This role offers hands-on experience in data transformation projects, supporting various business stakeholders.

Responsibilities

  • Assist in building and maintaining ETL (Extract, Transform, Load) or ELT processes.
  • Help automate data ingestion from multiple sources (APIs, databases, flat files, etc.).
  • Support the implementation of data validation and quality checks.
  • Work with data engineers and analysts to clean, structure, and transform raw data into usable formats.
  • Write SQL or Python scripts to merge and transform datasets.
  • Collaborate with different teams to understand data needs.
  • Document workflows, data dictionaries, and processes.

Requirements

  • Currently pursuing an undergraduate degree in STEM programs (Mathematics, Computer Science, Computer Engineering, Business or any other related discipline).
  • Understanding of SQL and experience with data modeling.
  • Familiarity with Python, R, or other scripting languages is a plus.
  • Familiarity with the concepts of ETL/ELT.
  • Exposure to relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) and understanding of data warehousing solutions (e.g., Redshift, Snowflake).
  • Exposure to cloud platforms such as AWS, GCP, or Azure, particularly in relation to data storage (S3, BigQuery, etc.) and computing services.
  • Any familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
  • Strong analytical and problem-solving skills with an ability to learn quickly and work independently.
  • Strong verbal and written communication skills to collaborate effectively with technical and non-technical teams.
  • Collaborative and able to work well in a dynamic, fast-paced team environment.

Skills

  • SQL
  • Data Modeling
  • Python
  • R
  • ETL/ELT
  • Relational Databases
  • NoSQL Databases
  • Data Warehousing
  • Cloud Platforms (AWS, GCP, Azure)
  • Data Visualization Tools (Tableau, Looker, Power BI)
  • Problem Solving
  • Communication
  • Teamwork

Location

  • Canada

Work Type

  • Internship
  • 8 month internship

Experience Level

  • Intern

Education Level

  • Undergraduate degree in STEM programs (Mathematics, Computer Science, Computer Engineering, Business or any other related discipline)

Salary/Compensations

  • $20.00 - $32.00 per hour

Benefits

  • Corporate fitness reimbursement and discounts
  • VersaFi memberships
  • PICTON Investment Counseling and portfolio management services
  • Volunteer and charitable donation matching
  • Maternity and parental leave top-up
  • Recognition awards
  • Semi-annual performance bonuses
  • Generous annual vacation entitlement (minimum of 15 days per year)
  • Training and development reimbursement
  • Extensive health and dental benefits
  • Healthcare spending account

About the Company

  • Picton Mahoney Asset Management (PICTON Investments) is an independent, privately run, 100% employee-owned firm with 20 years of experience challenging conventional wisdom in the investing landscape.
  • They are one of Canada's most trusted investment brands, managing $19.9 billion for institutional and retail clients.
  • Their mission is to bring greater certainty to investors by thinking alternatively and innovating within the investment sector.
  • The company culture is entrepreneurial, dynamic, collaborative, and bureaucracy-free, empowering ambitious professionals to make an impact.

Equal Opportunity

  • PICTON Investments is committed to providing an equitable and fair work environment for everyone.
  • All hiring and personnel actions will be taken without regard to race, colour, creed, religion, sex, disability, gender identity, gender expression, family status, age, language or national origin.
  • They welcome applications from candidates with diverse experiences globally.
  • Canadian experience is not required.
  • Accommodation is available throughout the application and hiring process upon request.