Data Engineer

hirify.global is a leading RegTech company, delivering advanced market and trade surveillance solutions to some of the world’s top financial institutions.

Overview

We’re looking for a Data Engineer to help us build and maintain reliable, scalable data workflows that power our trade surveillance platform. Our systems process and analyze massive volumes of market data - helping firms stay compliant with global regulatory standards.

What you will do

• Build, maintain, and customize ETL pipelines that process large volumes of data daily.
• Investigate and resolve data processing issues.
• Collaborate with clients to gather requirements and provide updates.

Requirements

• Linux: confident with the command line and system fundamentals.
• GitLab / Git: working knowledge of Git and core branching strategies.
• Python: hands-on experience with Python and main tools for data manipulation.
• English: professional working proficiency (spoken and written)

Nice to have

• Kubernetes & Docker: ability to explore a cluster, inspect pods/containers.
• Experience working with Apache Airflow (especially for managing data processing pipelines).
• Basic knowledge of financial markets and trading workflows.

Culture & Benefits

• Flexible working arrangements: full remote, hybrid, or office-based.
• Competitive compensation, aligned with your experience, skillset, education, and local market standards.
• Medical insurance for you and immediate family members.
• Professional-development budget to support courses, certifications, and conferences.
• Supportive international team.