Data Engineer

Data Engineer - Asset Management

Leading Investment Bank | Toronto, ON | Hybrid (2 days/week in-office)

About the Opportunity

Join a leading investment bank's Asset Management team in downtown Toronto as a Data Engineer. This hybrid role offers the opportunity to design, build, and optimize cutting-edge Azure data solutions while working collaboratively in an Agile environment.

You'll be responsible for delivering secure, reliable datasets with strong governance, automation, and documentation—playing a key role in shaping data standards and driving innovation within a dynamic financial services setting.

Location:
Downtown Toronto (Hybrid - 2 days per week in office)

What You'll Do

• Design, build, and optimize Azure data pipelines and lakehouse solutions using Databricks and modern data engineering practices
• Implement and maintain Medallion architecture (bronze/silver/gold) in production environments
• Orchestrate complex data workflows using Azure Data Factory, ingesting from diverse data sources
• Develop secure, performance-optimized solutions leveraging Delta Lake, ADLS, and Azure security frameworks
• Collaborate with cross-functional teams and stakeholders to deliver high-quality data solutions
• Contribute to CI/CD processes, code reviews, and team knowledge sharing
• Mentor junior team members and help establish data engineering best practices

What You Bring - Essential Skills:

Experience & Technical Foundation

• 4–6 years of hands-on experience in data engineering
• Strong proficiency with
  Databricks
  (Python, Spark, Pandas) for both notebooks and modular production code
• Production experience implementing
  Delta Lake
  and
  Medallion architecture
  (bronze/silver/gold layers)
• Expertise in
  Azure Data Factory
  for building pipelines, managing integration runtimes, and orchestrating data flows
• Advanced
  SQL
  skills and performance-aware design practices
• Working knowledge of
  Azure Data Lake Storage (ADLS)

Data Engineering Practices

• Solid understanding of ETL/ELT patterns and data modeling (dimensional/star schema)
• Experience with data validation, testing, and quality assurance processes
• Familiarity with monitoring and alerting for data pipelines and jobs

DevOps & Security

• Hands-on experience with CI/CD for data projects (Azure DevOps or GitHub Enterprise)
• Understanding of Azure Entra ID for SSO and RBAC implementation
• Commitment to secure workspace and data access patterns

Collaboration & Ways of Working

• Agile/Scrum experience with tools like Jira and Confluence
• Strong documentation skills for pipelines and data contracts
• Excellent stakeholder engagement and communication abilities
• Proven ability to support and mentor junior colleagues

Generative AI Capabilities

• Skilled in prompt design for data tasks including ingestion, transformations, and documentation
• Experience using Copilot/ChatGPT to scaffold notebooks, generate tests, and optimize SQL/Spark code
• Responsible AI practices: validates outputs, avoids PII in prompts, adheres to governance guardrails

Nice-to-Have Skills (Training Provided):

• Unity Catalog migration (Hive to Unity) and governance frameworks
• Databricks DevOps (cluster configuration, secret management, workspace automation)
• Azure Functions (C# or Python) for advanced orchestration
• Synapse dedicated SQL pools, dbt, or Delta Live Tables
• Data governance tools such as Purview or Collibra
• Infrastructure as Code using Terraform or Bicep
• Working within locked-down, regulated environments
• Financial services domain knowledge

What Sets You Apart

• Ability to work independently while driving team success
• Production-grade mindset with commitment to reliability and security
• Continuous improvement orientation and enthusiasm for learning new technologies
• Comfort working within regulated environment controls and compliance requirements
• Responsible use of Generative AI to enhance productivity and code quality

Why Join?

• Work with a leading global investment bank at the forefront of financial technology
• Collaborate with talented professionals in Asset Management
• Flexible hybrid work model (2 days in our downtown Toronto office)
• Contribute to high-impact projects in a regulated, mission-critical environment
• Opportunities for professional development and career growth

Ready to Apply?

If you're a data engineering professional passionate about building robust, scalable solutions in the cloud and thrive in collaborative, fast-paced environments, we want to hear from you.

Apply now
or reach out to learn more about this exciting opportunity.