[Hiring] Senior Data Backend Engineer @Owkin

Role Description

As a Senior Data Backend Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You'll be working on a real-time system that integrates LLMs, tool-calling, to explore public biology knowledge, Owkin proprietary data and client data.

More specifically, the role is focused on designing and optimising data workflows (storage, querying, analytics, etc) for agentic capabilities.

• Collaborate within a multi-disciplinary team of product managers, designers, software engineers, data engineers and machine learning and biomedical scientists.
• Design, build, and maintain scalable, reliable data-intensive AI systems.
• Drive technical decisions and provide context-aware solutions for AI systems in biological research.
• Experiment with cutting-edge industry solutions:
  • Orchestration patterns
  • Analytical DB (DuckDB, etc)
  • Distributed computing (AWS Athena, Trino, etc)
  • Integration with data platforms (Snowflake, Databricks, etc)
• Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance.
• Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing.

Qualifications

• You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery.
• Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds.
• Clear and effective communicator who can translate technical complexity into actionable decisions for the team.
• Proven track record leading software development at scale in production environments.
• Deep understanding of system architecture, infrastructure design, and building resilient distributed systems.
• Extensive experience with production environments: continuous deployment, high availability, observability, and security.
• Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to managing their connection to data.
• Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work.
• Proficiency with Claude Code and other AI software engineering tools.
• Fluent English, both written and spoken.

Requirements

• Stack: Python, DuckDB, Kubernetes, AWS

Benefits

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds