Software Developer - Data Pipelines (Python)

Squarepoint Capital; Montreal; On-site; CAD 80,000 - 130,000; Full time

Job summary

A leading data company is seeking an experienced Python developer for their Alpha Data team. The role involves taking ownership of data pipelines, collaborating with quant researchers, and contributing to data optimization and management. Ideal candidates should have a strong background in Python and SQL, with a focus on teamwork and continuous improvement.

Qualifications

• 4+ years of experience coding in Python to a high standard.
• Experience with SQL and RDBMS systems like Postgres.
• Knowledge of protocols and tools for data transfer (e.g., FTP, AWS S3).

Responsibilities

• Take part ownership of the data pipeline estate.
• Design, implement, test, optimize, and troubleshoot data frameworks.
• Collaborate with researchers to onboard new datasets.

Skills

Python

SQL

Collaboration

Education

Bachelor's degree in a STEM subject

Job description

We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organisation.

Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation.

We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team's quality of life, throughput, and code quality. Teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth.

• Take part ownership of our ever-growing estate of data pipelines,
• Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally,
• Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services,
• Collaborate with researchers to onboard new datasets,
• Regularly take the lead on production support operations - during normal working hours only.

Required Qualifications :

• 4+ years of experience coding to a high standard in Python,
• Bachelor's degree in a STEM subject,
• Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres),
• Practical knowledge of commonly used protocols and tools used to transfer data (e.g. FTP, SFTP, HTTP APIs, AWS S3),

Nice to haves

• Experience with big data frameworks, databases, distributed systems, or Cloud development.
• Experience with any of these : C++, kdb+ / q, Rust.