Elevate your career at Flinks as a Lead Data Engineer, owning and evolving a greenfield data platform while ensuring reliable data and ML services. This role emphasizes hands-on expertise in data pipeline construction and operational governance. As a critical part of the team, you’ll be responsible for establishing data engineering as a key discipline at Flinks.

Your focus will be on the BigQuery warehouse, ML platform architecture, and creating scalable data pipelines while collaborating with data science and product teams.

Your impact will be felt across various financial sectors as you streamline data processes from ingestion to ML deployment. Key Responsibilities:
Own and evolve the data platform and warehouse solutions
Build and manage ML training pipelines across the stack




Harden data models to improve quality and trustworthiness
Implement data governance for external and internal datasets
Standardize data engineering patterns across teams Requirements:
5+ years of hands-on Data Engineering experience
Expertise in ETL/ELT development and data modeling
Proficient in BigQuery, dbt, and orchestration tools
Experience designing operational metrics and governance
Robust SQL skills are essential Become a pivotal force in shaping Flinks' financial data capabilities and driving data intelligence efforts across the organization.

📌 Lead Data Engineer At Flinks Montreal (Canada)
🏢 Flinks
📍 Canada