Data Engineer - Remote - Spain

Lifebit

4d • Remote

About The Position

Lifebit is a mission-driven company focused on simplifying complex data analysis and making it more accessible. They empower institutions globally to revolutionize data utilization and technology integration, powering federated data platforms for population-scale health and life sciences. Their Federated AI Platform is trusted by national health systems, global pharma, and research biobanks to securely and compliantly unlock sensitive biomedical and real-world data at scale. As they grow through their Series B phase, they are expanding their product organization to meet global market demands. This role is for individuals inspired to tackle meaningful challenges and lead the next generation of health technology and cloud-based genomic solutions.

Requirements

• Expert in designing biomedical knowledge graphs and semantic data models that make implicit relationships in biomedical data explicit and machine-interpretable for LLMs and AI agents to reason over at scale.
• Hands-on experience integrating large language models into data systems, building RAG (Retrieval-Augmented Generation) frameworks, and architecting systems where rich metadata, lineage, and business semantics are embedded to enable reliable AI reasoning.
• Proven expertise designing data fabrics and federated data models that connect distributed biomedical data sources (genomics, clinical, imaging, drug discovery) while maintaining provenance, governance, and optimizing for AI/ML workload consumption—not traditional human dashboards.
• MSc in Computer Science, Bioinformatics, Computational Biology, or a closely related advanced technical field.
• 5+ years in software engineering or computational systems development, preferably in data-heavy or regulated sectors.
• Strong programming skills (Python, Go, Java, or similar) and familiarity with microservice or distributed system architectures.
• Proven experience designing and maintaining production-grade systems (preferably in data-heavy or regulated environments).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and container orchestration (Docker, Kubernetes).
• Working understanding of data privacy, observability, and security principles.
• A pragmatic approach to debugging complex systems and making trade-offs under uncertainty.

Nice To Haves

• Experience working with life sciences or healthcare data (e.g., FHIR, OMOP, or VCF).
• Exposure to federated or privacy-preserving computing systems.
• Familiarity with data harmonization, metadata catalogs, or scientific workflow orchestration.
• Experience mentoring engineers or leading code quality initiatives.
• Excellent written and verbal communication, with a collaborative and inclusive approach.

Responsibilities

• Lead the implementation of challenging features across distributed architectures, ensuring systems are performant, maintainable, and secure.
• Design software with built-in resilience and observability; balance immediate product delivery with long-term platform sustainability.
• Champion engineering best practices, including test automation, CI/CD, and high code quality standards.
• Proactively identify technical bottlenecks and contribute to cross-team architecture reviews.
• Convert complex scientific requirements into actionable engineering tasks for the development team.
• Collaborate with Product, Science, and DevOps to define milestones and ensure projects move from conception to production with measurable impact.
• Lead root cause analysis (RCA) for live incidents and implement permanent structural solutions.
• Communicate technical concepts effectively to a diverse audience, ranging from cloud engineers to molecular biologists.
• Provide guidance and peer feedback to junior and mid-level engineers to foster a culture of continuous learning.
• Apply background in bioinformatics or computational biology to ensure solutions align with genomics or clinical data use cases.
• Build systems that protect sensitive biomedical data, adhering strictly to GDPR (RGPD in Spain), HIPAA, and ISO27001 standards.

Benefits

• Compensation: €65,000 - €83,000 gross annually + performance-based bonus.
• AI Upskilling: Use up to £10,000 and 10 dedicated days per year for qualified AI-related professional development (AI certification, LLM workshop, or AI bootcamp).
• Professional Development & Wellbeing: An annual personal development budget of £1,000 for conferences, training, certifications and personal wellbeing.
• Remote-First Culture: Work from anywhere in Spain with a home-office stipend.
• Flexible Working: Receive 25 working days of annual leave plus public holidays and flexible hours to maintain a healthy work-life balance.
• Diverse Team: Join an international and diverse team passionate about transforming healthcare through data.
• Deep Technology & Science: Get exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior