Data Engineer

Lifebit

Data Engineer responsible for building infrastructure at Lifebit. Bridging biological science and software engineering to power scientific discoveries while ensuring compliance.

Posted 5/21/2026full-timeRemote • 🇪🇸 SpainMid-LevelSenior💰 €65,000 - €83,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoGoogle Cloud PlatformJavaKubernetesPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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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Hard Skills & Tools

PythonGoJavamicroservicesdistributed systemsdata pipelinesproduction-grade systemscloud platformsCI/CDcontainer orchestration

Soft Skills

collaborationleadershipproblem-solvingcommunicationpragmatic approachroot cause analysistask conversionproject managementresilienceobservability