Data Engineer

Title: Senior Data Engineer # of Openings: 2 Client: Investment Industry Type: 12 month contract + opportunity to extend Location: Toronto, Ontario Work Model: Hybrid- 4 day/week in office. WFH Friday Pay: $80-100/hr (as per experience) Collabera is seeking a Senior Data Engineer to support a major investment-platform transformation, which is moving the organization toward Aladdin as a front-to-back investment platform. The transformation includes integrating trade and investment data into Aladdin, modernizing 150+ custom reports and approximately 15 custom solutions, and building out a data platform to move data from Aladdin into Snowflake for reporting, analytics, and downstream applications. This is a senior-level role for someone who can build, integrate, and provide technical guidance rather than simply execute assigned development tasks. The successful candidate will work across data engineering, investment platforms, and technical teams to build reliable data pipelines, integrate investment data, understand data architecture, and identify opportunities to improve existing processes. The client is looking for someone who can work independently and bring lessons learned from previous investment-platform or capital-markets data implementations. Day-to-Day Responsibilities: The Senior Data Engineer will design and build data pipelines and integrations supporting investment-platform transformation, working primarily with SQL-based data sources and technologies including Python, Snowflake, Azure, Azure Data Factory, Azure DevOps, and Prefect. They will help move and transform investment data from platforms such as Aladdin or other comparable investment systems into the Snowflake environment, ensuring data is fit-for-purpose for reporting, analytics, custom reporting, and downstream solutions. The engineer will work closely with Business Analysts, business stakeholders, technical teams, and an external integration partner to troubleshoot data issues, trace data and code when required, contribute to data architecture decisions, and provide technical recommendations. They will also be expected to challenge existing approaches where appropriate and bring best practices from prior investment-data platform implementations. Must-Haves: 5+ years of senior-level Data Engineering experience, ideally within capital markets, asset management, pensions, or investment environments Strong SQL and Python experience with hands-on experience building data pipelines and data integrations Strong Snowflake experience, with experience working in Azure environments including Azure Data Factory and Azure DevOps Experience with investment platforms such as Aladdin, Charles River, SimCorp Dimension, Eagle Pace, RiskManager, or comparable buy-side / pension investment platforms Strong ability to work independently, communicate with technical and business stakeholders, and provide technical guidance on data architecture and integration solutions Plusses: BlackRock Aladdin experience, particularly experience integrating or extracting investment data. Experience with Prefect or similar workflow orchestration tools Experience supporting front-office, trading, back-office, FX, derivatives, investment operations, performance, or risk data Experience building or modernizing an investment data platform or similar data infrastructure Data lineage experience, including tracing data through SQL, stored procedures, or downstream systems We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing. The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

Design and build data pipelines to integrate investment data from platforms like Aladdin into Snowflake for reporting and analytics. Provide technical guidance on data architecture and collaborate with stakeholders to modernize custom reports and solutions.

Requires over 5 years of senior data engineering experience, specifically within capital markets or investment environments. Proficiency in SQL, Python, Snowflake, and Azure tools is essential, along with experience in buy-side investment platforms.

• Vacation Pay • Public Holidays • Leaves Of Absence

• SQLPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Snowflake
• Azure Data Factory
• Azure DevOps
• Prefect
• Aladdin
• Data Pipeline Construction
• Data Integration
• Data Architecture
• Capital Markets Knowledge
• Asset Management
• Investment Platforms
• Data Lineage
• Technical Guidance
• Troubleshooting

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

Minimum experience

5+ years

Apply by

Sep 13, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available