Data Engineering Lead

Summary

Join Keep, a Canadian fintech company revolutionizing the banking experience, as their Data Lead. You will build and lead the data team from the ground up, shaping data strategy and implementation. This critical role involves designing and maintaining data infrastructure, defining key performance metrics, running experiments to optimize processes, and collaborating with various teams. You will communicate data insights to stakeholders and foster a data-driven culture. Keep offers a fast-paced, remote-friendly environment with a commitment to diversity and inclusion.

Requirements

• Held a Data Lead, Senior Data Engineer, or Senior Data Scientist role
• Previous experience in Startups and Fintechs
• Hands-on experience with setting up and scaling data infrastructure
• Proficiency in Python, SQL, and modern data tools, including DBT, Snowflake, Fivetran, Hightouch, and other ETL/reverse ETL tools
• Have strong data engineering skills, including data pipeline creation and maintenance

Responsibilities

• Design, implement, and maintain a robust data infrastructure using modern tools like DBT, Snowflake, and ETL frameworks
• Ensure data accuracy, availability, and security across all systems
• Define and implement key underwriting performance metrics (e.g., default rates and approval times)
• Run experiments to optimize underwriting processes and measure their impact
• Work closely with Product, Engineering, and Operations to understand workflows and suggest changes to improve data visibility and usability
• Communicate complex data insights to stakeholders, facilitating informed decision-making
• Address data bottlenecks impacting SWE teams
• Lay the groundwork for a scalable data team, mentoring and guiding new hires as the team grows
• Foster a culture of collaboration, innovation, and data-driven decision-making

Benefits

Embrace a fully inclusive and remote-friendly company culture that values diversity and work-life balance