Lead Data Engineer @Panora (backed by Get A Job.ai)

About This Opportunity

We are representing a well-funded insurtech startup building AI-powered automation tools for insurance brokers across Europe. Our client's platform is already live in production, delivering assistants that handle quotation automation, contract comparison, coverage analysis, and compliance workflows—saving brokers hours every week and reducing analysis time by up to 70%.

As they enter a key scaling phase, we're searching for a Lead Data Engineer to join as the third engineering hire. You'll work directly with the founding technical team to build and scale the systems that power real-world AI products under strict reliability, traceability, and compliance requirements.

Responsibilities

Build & Improve AI Products

• Design, ship, and improve AI-powered workflows used daily by insurance brokers
• Build evaluation, feedback, and monitoring systems to continuously improve performance
• Turn complex insurance workflows into reliable AI-powered products

Build the Data Foundations

• Build and maintain data pipelines powering production features
• Process and structure unstructured data including contracts, emails, and insurer documents
• Improve the quality, reliability, and observability of data systems

Own & Scale Systems

• Own systems end-to-end: from design and implementation to deployment and monitoring
• Contribute to architecture and key technical decisions
• Help define how AI, data, and engineering scale across the organization

What We're Looking For

Required Experience & Skills

• Experience building, operating, and improving production systems in a startup or product-driven environment
• Experience working closely within an engineering team and contributing to a shared codebase
• Strong Python and backend engineering skills
• Experience with data-intensive products, AI systems, LLM applications, or applied machine learning
• Comfortable working with messy, incomplete, and unstructured real-world data
• Able to quickly understand, improve, and scale existing systems—not just build greenfield projects
• High standards for reliability, data quality, maintainability, and customer impact in production
• Comfortable taking ownership, moving quickly, and making progress in ambiguous environments
• Strong product mindset: you care about solving meaningful customer problems, not just shipping technical features

Bonus Qualifications

• Experience with evaluation systems, feedback loops, or AI observability
• Experience in fintech, insurance, or other regulated environments

Technology Stack

• Languages: Python for AI, data and automation; TypeScript for backend services
• AI systems: LLM-powered agents, structured extraction, evaluation frameworks, tracing and observability
• Infrastructure: AWS with serverless and managed-services approach
• Data: MongoDB, document-processing pipelines, structured extraction workflows
• Integrations: Microsoft 365, CRM and ERP tools, insurer extranets

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screen to understand your background and assess fit. Strong candidates are then submitted to our client for their interview process, which includes technical peer-programming sessions and meetings with the founding team.

Please apply only through Get A Job.ai—do not contact the client directly. We manage all communication and coordination to ensure a smooth process for both you and the hiring company.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Location: Paris

Equal Opportunity

Get A Job.ai is committed to creating a diverse and inclusive recruiting process. We encourage applications from candidates of all backgrounds, identities, and experiences.