Data Engineer

🕒 June 8

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Lifebit

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

☁️ SaaS

🧬 Biotechnology

🤖 Artificial Intelligence

SaaS • Biotechnology • Artificial Intelligence

Lifebit is a federated data intelligence platform that enables secure, privacy-preserving analysis of sensitive health and genomics data across institutions, clouds, and borders. Its products include a Trusted Data Lakehouse, Trusted Research Environment, Trusted TargetID and other modules for data harmonization (OMOP/FHIR), cohort building, multi-omics ETLs, and AI-powered target identification and surveillance. Lifebit is delivered as an enterprise SaaS offering that integrates with clinical systems (Epic, Cerner, Meditech), supports common data science tools (Jupyter, RStudio, Nextflow), and is used by pharmaceutical companies, public-sector genomics initiatives, health systems and research organizations.

📋 Description

• 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. • 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.

🎯 Requirements

• 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.

🏖️ 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.