Senior Data Engineer (Terraform)

TL;DR

Senior Data Engineer (Python/Terraform): Designing and implementing scalable data platforms and high-performance pipelines for an insurance-grade AI platform with an accent on infrastructure-as-code and distributed data systems. Focus on building robust ETL processes, optimizing database performance, and integrating tools to empower data science teams.

Location: France - Paris (Hybrid/Remote)

Company

hirify.global provides AI agents that transform critical insurance workflows through a secure and explainable SaaS platform.

What you will do

• Design and implement scalable, intuitive features across the data platform.
• Build and maintain high-performance data pipelines and robust application architecture.
• Collaborate with Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
• Operate and enhance data infrastructure to ensure seamless movement across platforms.
• Support the evaluation and integration of tools for engineering and data science teams.

Requirements

• 5+ years of experience in software or data engineering within cloud environments.
• Strong proficiency in Python and OOP principles.
• Expertise in Infrastructure-as-Code (IaC) and Terraform.
• Experience with PySpark, dbt, and data modeling techniques (star schema, data vault).
• Proficiency in SQL Server, NoSQL stores, and distributed data systems.
• Experience with ETL processes and orchestration tools like Apache Airflow.
• English: Excellent communication skills required.

Nice to have

• C# programming experience.

Culture & Benefits

• Flexible remote and hybrid working options.
• Competitive salary with a performance-based variable component.
• L&D opportunities, including "Focus Fridays" for personal growth.
• Generous PTO and paid holidays.
• Mental health benefits and paid volunteering (MAD Days).

Hiring process

• HR and Hiring Manager screenings.
• Technical screenings with an Architect and a Tech Lead/Data Engineer.
• Final round with the Hiring Manager.