Data Engineer
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Job Description
Data Engineer responsible for building infrastructure at Lifebit. Bridging biological science and software engineering to power scientific discoveries while ensuring compliance.
Responsibilities:
- As a Data Engineer, you will bridge the gap between complex biological science and robust software engineering.
- You will be responsible for building the scalable infrastructure that powers our scientific discoveries.
- Ensuring that our data pipelines are not only high-performing but also strictly compliant with European data protection standards.
- 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.
- 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:
- Education: MSc in Computer Science, Bioinformatics, Computational Biology, or a closely related advanced technical field.
- Experience: 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.
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.
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