Senior Data Backend Engineer

🔒 Confidential Employer
Posted 6 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Software Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python DuckDB Kubernetes AWS LLM integration Distributed systems Data engineering Analytical databases

FULL DESCRIPTION

Senior Data Backend Engineer

[Employer hidden — sign up to reveal] is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. Position: Senior Data Backend Engineer | Location: Remote (UK, Germany, Paris) | Type: Full-time

About the Role

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, [Employer hidden — sign up to reveal] proprietary data and client data. More specifically the role is focused on designing and optimising data workflows (storage, querying, analytics, etc) for agentic capabilities.

In particular, you will:

  • 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.

About you

  • Driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools.
  • Strong collaborative skills with an open, pragmatic mindset.
  • Clear and effective communicator.
  • 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.
  • Proficiency with Claude Code and other AI software engineering tools.
  • Fluent English.
  • Stack: Python, DuckDB, Kubernetes, AWS.

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

[Employer hidden — sign up to reveal] 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 on the basis of disability. [Employer hidden — sign up to reveal] is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Legitimate [Employer hidden — sign up to reveal] recruitment processes include communication through recognized professional networks, such as LinkedIn, and always through an official [Employer hidden — sign up to reveal].com email address. The [Employer hidden — sign up to reveal] talent team will not solicit personal data from candidates during the application phase. Offers are based on merit after interviews. If you think you have been a victim of fraud, contact [Employer hidden — sign up to reveal] or relevant authorities.

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