Data Engineer/Developer

In this hands-on role, you will build and maintain a scalable data platform to deliver analytics, reporting, and AI-enabled solutions. You’ll work within a modern data-team, focusing on Snowflake, Azure, Python, and CI/CD to support cloud-based platform development. You will collaborate with engineers, analysts and stakeholders to implement practical data solutions and improve platform reliability. This is an impactful opportunity to shape data-driven capabilities in Asset Management and work across cross-functional teams.

• Develop and maintain Snowflake data models, transformations and pipelines
• Enhance dbt models, testing frameworks and deployment processes
• Create Python utilities and services for data integration and automation
• Support Azure Data Factory, Azure Functions and CI/CD pipelines
• Utilize Azure DevOps or GitHub for source control, reviews and deployments
• Troubleshoot production issues and improve platform reliability
• Collaborate with engineers, analysts and stakeholders to deliver practical solutions

• Strong SQL and Snowflake experience
• Data engineering and ETL/ELT development
• Dimensional modelling (Kimball)
• dbt development and engineering best practices
• Azure Data Factory, Azure Functions and CI/CD
• Python development for automation and data processing
• Azure DevOps or GitHub
• Experience using AI development tools like GitHub Copilot or Microsoft Copilot
• Financial Services, Asset Management or Wealth Management experience
• .NET/C#
• React/Typescript

• collaboration
• problem-solving
• communication
• Snowflake
• Python
• dbt