Ph3About Liom /h3 pLiom is a Swiss health‑tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non‑invasively. We will launch our wearable as a consumer product in the United States and Europe in 2028. Our team consists of over 35 staff, with deep expertise in product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfäffikon SZ, Switzerland. /p h3Your mission /h3 pLiom is preparing to 100× its data acquisition capacity. Our visual health‑data—combined with rich metadata—is the foundation for real‑world clinical insights and downstream data‑science models. To support this next phase of growth, we are building a new data platform on Google Cloud that can scale with our ambitions. As a Data Engineer, you will take ownership of how Liom ingests, structures, validates, and operationalises data across the company. You’ll work across backend services, data engineering, and platform architecture, helping us build systems that are secure, reliable, and ready for clinical‑grade scale. This is a hands‑on role in a fast‑moving startup environment, ideal for someone who wants to shape the technical direction of a company making real‑world health impact. /p h3Responsibilities /h3 ul liSteer the design and implementation of Liom’s next‑generation data platform on Google Cloud. /li liDefine and own approaches for: ul liData lineage and traceability /li liModel evaluation, pipeline management calibration workflows /li liQuality controls and automated validation /li liData readers for object‑based datasets /li liBalancing relational vs. object‑based data models /li /ul /li liWork closely with data science, product, and lab teams to ensure data is accessible, high‑quality, and fit for downstream use. /li liTranslate business needs into technical architecture, and clearly communicate trade‑offs to both technical and non‑technical audiences. /li liSupport emerging needs for unstructured data from business, sales, and operations teams. /li /ul h3Your profile /h3 ul li5+ years experience generating business value through data engineering /li liComfortable in a Python‑first engineering environment. /li liBring a DevOps mindset, balancing security, reliability, and operational pragmatism. /li liThrive in a startup culture—comfortable stepping outside your comfort zone and learning rapidly. /li liBe a team player who values collaboration, clarity, and shared ownership. /li /ul h3Nice to Have /h3 ul liHands‑on experience with Cloud Run, Cloud Functions, or serverless patterns. /li liFamiliarity with GitHub Actions and modern CI/CD pipelines. /li liExperience with data governance, schema evolution, or ML‑ops workflows. /li liExposure to health‑tech, regulated data, or scientific computing environments. /li /ul h3We offer /h3 h3Diversity /h3 pWith 15 nationalities in the company, we strive to build a diverse and exciting environment. We care about diversity and equal opportunities and encourage everyone to apply. /p h3Mentorship Career Growth /h3 pOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. /p h3Join an amazing, collaborative team! /h3 pYou’ll be supported by knowledgeable, approachable colleagues and have plenty of chances to learn, exchange ideas, and hear new perspectives. /p h3Our recruitment process /h3 pThe interview process consists of three stages: /p ul liIntroduction video call /li liTechnical Interview /li liOn‑site interview /li /ul /p #J-18808-Ljbffr