Job Description

Job Title: Distribution Data Engineer

Location: Toronto, ON Hybrid (2x per week in office, Tues/Thurs)

Duration: 12 months

Contract Type: T4 only

Pay Rate: CA$50.34/Hour

Role Mandate:

• The ideal candidate will have knowledge of current data technology and data engineering practices.
• This role will work with a team of data engineers to build and automate databases for asset management data, including investment, market, and sales data.
• Technical knowledge on database structure, maintenance, pipelines, and automation is essential.
• This role will also be accountable for database migration to upgraded technology and working with broader technology teams to access and automate new datasets.
• The ideal candidate will be collaborative and sociable and have stakeholder management skills.
• They will also work with data scientists and analysts to create and automate datasets and models for analytics.

Role Responsibilities Include (but are not limited to):

• Database governance and maintenance, including schema structure, table creation, and ensuring database best practices and naming conventions.
• Building data pipelines to source across the Client’s data ecosystem.
• Working in different data platforms, including on-premises and cloud-based infrastructures.
• Communicating technical concepts in on-technical terms.
• Fostering strong internal and external networks and works across multiple teams to achieve business objectives.
• Collaborating with other team members to deliver analytics solutions.
• Collaborating with broader technology and cybersecurity teams to source data and keep in compliance with data security guidelines.
• Autonomously running data tests and identifying solutions. Escalating solutions to leadership as needed for approvals.
• Broader work or accountabilities may be assigned as needed.

Must-Have Skills:

• 4+ yrs of relevant experience and education
• SQL/Python/R/GIT experience
• Knowledge and experience in building solutions in data cloud platforms, including Snowflake, AWS, and/or Azure is essential.
• Experience in building and automating datasets and reports.
• Experience in proper data documentation and version control is essential.
• Experience in scheduling and automating advanced analytics solutions (e.g. machine-learning or generative AI) is strongly preferred.
• Proficient in data-driven decision-making and using insights to guide strategic actions.
• Ideal candidates will be personable with strong written/verbal communication skills in addition to technical skills.
• Investment industry knowledge is an asset, including basic knowledge of sales and portfolio management.
• Previous banking experience a nice to have.
• Previous experience with Vermillion an asset.

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