Data Engineer

CUBE is a global RegTech business defining and implementing regulatory intelligence for the financial services industry. They deliver their services through intuitive SaaS solutions powered by AI to simplify the complex and everchanging world of compliance for their clients.

Requirements

• 3+ years of experience in data engineering or a closely related role
• Strong SQL and Python skills
• Hands-on experience building and maintaining data pipelines in cloud environments
• Familiarity with ETL/ELT patterns, orchestration tools, and data transformation frameworks
• Experience working with both structured and unstructured or semi-structured data
• Understanding of data quality principles
• Comfort with version control, CI/CD practices, and engineering-grade delivery

Benefits

• Diversity and inclusion
• Equal opportunity employer
• Inclusive environment for all employees