BI & Data Engineer (Insurance)

TL;DR

BI & Data Engineer (Insurance): Developing and maintaining scalable data models and ETL pipelines for a centralized insurance-grade AI platform with an accent on data visualization and integration. Focus on building robust data access layers, optimizing batch and real-time processing, and collaborating with data scientists to support advanced analytics workflows.

Location: Hybrid role based in Paris, France

Company

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

What you will do

• Develop and maintain scalable data models and data access layer frameworks for centralized databases.
• Build and optimize ETL pipelines to ingest, transform, and integrate diverse data sources.
• Collaborate with product teams to translate roadmap priorities into technical designs.
• Work with Data Scientists to enhance frameworks for customer data integration and analytics.
• Participate in code reviews, deployment, and monitoring to ensure high-quality production releases.
• Contribute to Agile processes including sprint planning and retrospectives.

Requirements

• Minimum 2 years of professional experience in Data Engineering or Software Engineering.
• Strong expertise with data visualization tools such as PowerBI, GoodData, or Tableau.
• Proficiency in object-oriented design patterns and class diagramming.
• Strong data exploration skills using Python libraries.
• English proficiency required for collaboration in an international environment.
• Ability to work in a hybrid setup in Paris.

Culture & Benefits

• Flexible remote and hybrid working options.
• Competitive salary with performance-based variable components.
• Learning and development opportunities including monthly Focus Fridays.
• Generous PTO and paid holidays.
• Mental health benefits and paid volunteering days.

Hiring process

• Talent Acquisition and Hiring Manager interviews.
• Two technical screening rounds covering software engineering and data skills.
• Final round at the Paris office.