Senior Agentic Data Engineer

Overview

Senior Data Engineer – Agentic Data Engineer in K product team. You will be at the heart of our mission to accelerate data-driven biomedical discoveries at scale. You will contribute to building and maintaining a virtual assistant system for Biomedical researchers that uses agents and tools to explore public biology knowledge, Owkin proprietary data and client data in order to power drug discovery decisions. The role focuses on designing and optimising data workflows (storage, querying, analytics, etc) for agentic capabilities.

About Owkin

Owkin is an agentic AI company on a mission to explore complex biology to speed up and scale research for the creation of new treatments and diagnostics for patients. Owkin K, our AI co-pilot, combines access to multimodal data, cutting-edge AI to understand biology and pioneering agentic AI to achieve Biological Artificial Superintelligence in the future. Owkin K is the technology foundation of our ecosystem, providing cutting-edge co-pilots with high-quality data infrastructure and AI tools to power breakthroughs for researchers, customers and our companies. The company has raised over $300 million from biopharma companies like Sanofi and BMS, and funds such as Fidelity, GV and Bpifrance. Position is based in Paris, Nantes or London offices or remotely in France, UK, Germany. Please submit your CV in English.

Responsibilities

• Design, implement, and maintain a data-intensive applicative stack including large language models components (agents, tools, retrieval-augmented generation) and visualization capabilities for omics data (genomics, transcriptomics, proteomics)
• Build, optimize and maintain data architectures (e.g., datalakehouse) for real-time data analysis
• Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
• Enable Applied AI teams to compute, store and index data for making it explorable by the agentic system
• Collaborate with product managers, engineers and scientists to implement features that benefit drug discovery practitioners
• Support and improve CI/CD pipelines and development workflows
• Participate in incident response to ensure high availability and reliability

About you / Qualifications

Required qualifications / experience:

• Experience in architectural design of complex data platforms
• Experience with an applicative stack deployed in a cloud-based infrastructure
• Experience in maintenance of ETL pipelines
• Demonstrated attention to quality and engineering processes, including observability and security
• Proficient in technologies like Airflow, AWS ecosystem or other cloud providers, Docker, Kubernetes, Grafana, Infrastructure as Code
• Experience with Python
• Full professional proficiency in English (team distributed across Europe)

Preferred qualifications/bonus:

• Experience in building AI Engineering / LLM-based systems
• Experience in building machine-learning based systems
• Familiarity with omics data or other medical data modalities

What we offer

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

Recruitment Process & Security

• Please complete the form and submit your CV.
• Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or disability.
• Owkin is a great place to work. Be aware of recruitment phishing scams. Legitimate Owkin recruitment processes include communication through recognized professional networks, official Owkin email addresses (from the @owkin.com domain), and our applicant tracking system. Do not provide personal information unless the source is legitimate.
• Owkin interviews may be conducted by phone, in person, or via approved videoconferencing. They will not occur via Signal, Telegram or Messenger.
• Offers of employment are based on merit and extended after interviews with the talent and hiring teams.

Fraud awareness

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology