Data Engineer - Remote - Spain

About the Role As a Data Engineer in our Spain hub, you will bridge the gap between complex biological science and robust software engineering. You will be responsible for building scalable infrastructure powering scientific discoveries, ensuring data pipelines are high-performing and conform to European data protection standards. This is a senior IC role in our engineering framework — ideal for someone who thrives in complex problem-solving, leads feature implementations, and mentors others in technical excellence. What You'll Do

• Lead 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.
• Proactively identify technical bottlenecks and contribute to cross-team architecture reviews.
• Translate complex scientific requirements into actionable engineering tasks; collaborate with Product, Science, and DevOps to bring projects from conception to production with measurable impact.
• Lead root cause analysis (RCA) for live incidents and implement permanent structural solutions.
• Communicate technical concepts to a diverse audience; mentor junior and mid-level engineers.
• 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 to GDPR (RGPD in Spain), HIPAA, and ISO27001. What We're Looking For
• 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; hands-on with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and container orchestration (Docker, Kubernetes).
• Working understanding of data privacy, observability, and security principles.
• Pragmatic problem solver with ability to trade off complexity and risk under uncertainty.
• Experience with life sciences or healthcare data (FHIR, OMOP, or VCF) and exposure to federated or privacy-preserving computing systems (preferred).
• Familiarity with data harmonization, metadata catalogs, or scientific workflow orchestration.
• Experience mentoring engineers or leading code quality initiatives.
• Excellent written and verbal communication with collaborative and inclusive approach. Nice to Have
• Experience with life sciences/healthcare data (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. Compensation & Benefits
• Salary: €65,000 - €83,000 gross annually + performance-based bonus.
• AI Upskilling: Use up to £10,000.
• Comprehensive benefits package.