Data Engineering Manager

Summary

Join Keep, a Canadian fintech company, as their Data Manager to build and lead their data team. You will design, implement, and maintain a robust data infrastructure using modern tools, ensure data accuracy and security, define and implement key underwriting performance metrics, run experiments to optimize processes, and collaborate with other teams. This role requires a strong technical background, experience in startups and fintechs, and proficiency in Python, SQL, and various data tools. You will have a significant impact on the company's data strategy and decision-making. Keep offers a fully inclusive and remote-friendly company culture.

Requirements

• Held a Data Manager position with a strong focus on the technical side
• 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