Sr. Data Engineer (Bloomberg data feed) to migrate new Capital Markets investment desks onto the CMIA Capital Markets Investment Analytics platform - 6131

Sr. Data Engineer (Bloomberg data feed) to migrate new Capital Markets investment desks onto the CMIA Capital Markets Investment Analytics platform - 6131

Contract Duration: 12 months

Location: Downtown Toronto (Hybrid - 2x/week)

Hours: 40h/week

The opportunity

Responsible for analyzing, designing, developing, supporting and enhancing the software and data systems of the Capital Markets Investment Analytics (CMIA) team

Who you'll work with

You will work alongside other software developers and investment professionals in a world class investment team with a focus on improving and maintaining various components of the team's trading and data analytics solutions and software infrastructure. You will report to a Senior Manager, Solution & Quality Engineering.

What you'll do

• Maintain and improve the team's software solutions and infrastructure which runs all aspects of the team's systematic investment process including trading, execution and research.
• Implement improvements to accommodate future research & production needs such as the expansion into new instruments/asset classes, trading frequencies, execution styles, etc.
• Migrate new Capital Markets investment desks onto the CMIA Capital Markets Investment Analytics platform.
• Contribute to the CMIA team’s cloud and data migration initiative, this will involve helping to migrate solutions to the Azure cloud and Snowflake data platforms.
• Contribute to the CMIA team’s continuous improvement process and help to develop software and data engineering best practices and standards.
• Develop new solutions and enhance existing solutions in support of the Capital Markets investment desks that the CMIA team supports.
• Responsible for completion of an acceptable volume of work and for the communication of status of personal work plans and tasks required to design, develop, and test assigned projects. Actively participate in the team’s agile ceremonies and work planning processes.
• Responsible for maintaining currency in technological trends and directions continually upgrading personal technical and IT skills through research, education and self-motivated technology experimentation.
• Participate in new technology investigation and make recommendations for new technology adoption where appropriate.
• Other duties as assigned.

What you'll need

• Undergraduate or graduate degree in a quantitative discipline such as Engineering or Computer Science.
• Sound knowledge of information systems theories, concepts, methods, and techniques.
• Minimum 8 years software design/development experience with at least 5 years full-time application development experience in Capital Markets, preferably with a quantitative investment team.
• Experience with systematic investment and trading strategies.
• Communicate and interact effectively with systems professionals, as well as Capital Markets business users with minimal background in information technology.
• Strong interest in the financial industry required. Completion of the Canadian Securities Course and/or CFA candidacy is an asset.
• Excellent organizational, analytical and problem-solving skills.
• Expertise in the following programming languages: Python, C#, SQL.
• Experience with the following technologies:
• Database and Data engineering: Snowflake, SQL Server, Oracle, Airflow, Astronomer, DBT. Experience with OneTick or other time series database is an asset.
• Cloud Technologies: Azure, AKS.
• DevOps/Agile: Git, Jenkins, Nexus, Jira.
• Experience with Bloomberg data feed (specifically Bloomberg API - BPIPE and DAPI). Experience with other common financial data providers is a nice to have (ex. Refinitiv, S&P Xpressfeed).
• Experience building data analytics and data engineering solutions, ex. Data pipelines and ELT processes.
• Experience working in an agile environment and with modern development methodologies such as Test-Driven Development, Continuous Delivery and Scrum