Python Developer

Delinian•Montreal, QC

9d•Hybrid

About The Position

You'll join a small, senior, AI-augmented data engineering team at BCA Research. We build internal tools, automate manual workflows, and support the data pipelines that power a financial-research product real subscribers rely on. We move quickly because Claude Code, Codex, and similar tools are first-class members of our workflow - but we still own every line of code, review every PR carefully, and talk through tricky problems together on camera. We're hiring a Python Developer to grow with the team.

Requirements

3-5 years of production engineering experience, with shipped work you can discuss clearly
Strong Python development skills, including experience building tools, scripts, services, or data workflows
Hands-on experience with AI coding assistants such as Claude Code, Cursor, Copilot, Codex, Cline, or similar
Comfortable with SQL for querying, debugging, validating, and transforming data
Familiarity with Git, command-line workflows, pull requests, and working in a shared codebase
Experience writing automated tests and debugging production or production-like issues
Ability to automate tedious or error-prone manual processes and understand the system underneath them
Adaptable across changing priorities, including internal tooling, pipeline support, ad-hoc data work, and platform improvements
Clear written and verbal communication with both technical and non-technical teammates
Excellent spoken and written English as you will collaborate with colleagues in Canada, US and globally.
Professional level of French spoken and written.

Nice To Haves

Experience with Microsoft Fabric, Azure, or cloud-based data platforms
Exposure to MongoDB or other document databases
Experience with data pipeline reliability, DataOps, or ELT/ETL workflows
Familiarity with financial data, market data, or vendor data feeds
Experience working in a monorepo
Experience with Python packaging and dependency tools such as uv
Performance and reliability instincts - observability, retries, validation, failure modes, and data quality checks

Responsibilities

Deliver JIRA tickets end-to-end: Python tooling, data workflow automation, pipeline support, bug fixes, and reliability improvements
Use AI coding assistants daily, review their output critically, and keep the quality bar high
Write clean, maintainable Python with clear structure, type hints, appropriate tests, and readable documentation
Build automation that reduces manual work, improves data quality, and makes internal users more effective
Work with SQL and data stores to inspect, transform, validate, and troubleshoot data
Contribute to production data pipelines under the guidance of senior engineers and gradually take on larger areas of ownership
Debug unfamiliar systems using logs, queries, tests, and careful investigation
Collaborate with developers, data specialists, researchers, and project managers to turn operational problems into reliable software
Read relevant technical documentation before changing code; update documentation before opening the PR
Review teammates' PRs and take feedback well on your own