Senior Data Developer

Role overview

Responsibilities

• Design, build, and operate ingestion, validation, transformation, and distribution pipelines for vendor, internal, API, and file data.
• Develop and maintain dbt models and Snowflake structures for trading, risk, analytics, and operational workflows.
• Build production Python for ingestion, integrations, orchestration, and engineering tooling.
• Improve monitoring, data quality, regression testing, and incident diagnosis.
• Maintain data models and semantic views used by downstream applications and AI interfaces.
• Investigate data issues, find root causes, and implement lasting fixes.
• Contribute to technical design, code review, engineering standards, and delivery practices.
• Help other teams build and operate pipelines effectively on the shared platform.

Required qualifications

• Five or more years of relevant data engineering experience, including ownership of production data systems.
• Strong SQL skills in data modeling, query design, performance, and debugging complex transformations.
• Strong Python skills and experience developing maintainable, tested, multi-module applications.
• Production experience with Snowflake and dbt.
• Experience integrating APIs, databases, flat files, or event-driven sources.
• Practical knowledge of data quality, monitoring, failure handling, and production support.
• Experience with Git, code review, automated testing, and CI/CD.
• Sound judgment balancing delivery speed, complexity, operating cost, and maintainability.
• Applicants must be based in Montreal and able to communicate in French.

Useful, not required

• Financial-market data experience, such as security master, instrument reference data, pricing, risk, or corporate actions.
• Experience with semantic modeling or governed analytics layers.
• Experience with asynchronous Python, API-heavy ingestion services, or modernization of legacy and stored-procedure-based pipelines.

Workplace

• Hybrid work model with four days in the Montreal office; this is not a remote role.

Benefits

• Unlimited vacation and three personal days; annual bonus and salary review.
• Annual training budget of $1,500, RRSP matching with a 3% company contribution, and comprehensive health insurance.
• Subsidized public transportation through Opus & Cie.
• Work on production systems used by global capital-markets clients.

About TS Imagine