Dein persönlicher KI-Karriere-Agent
Building next-gen data platform on Google Cloud for non-invasive glucose monitoring wearables. Python-first engineering and DevOps mindset required. Mentorship and career growth opportunities.
Anforderungen
- 5+ years generating business value via data engineering
- Comfort with Python-first engineering environment
- DevOps mindset balancing security, reliability, operational pragmatism
- Thrive in startup culture, stepping outside comfort zone, learning rapidly
- Team player valuing collaboration, clarity, shared ownership
- Hands-on experience with Cloud Run, Cloud Functions, or serverless patterns
- Familiarity with GitHub Actions and modern CI/CD pipelines
- Experience with data governance, schema evolution, or ML-ops workflows
- Exposure to health-tech, regulated data, or scientific computing environments
Aufgaben
- Design and implement Liom’s next-generation data platform on Google Cloud
- Define and own data lineage and traceability approaches
- Manage model evaluation, pipeline, and calibration workflows
- Implement quality controls and automated validation
- Develop data readers for object-based datasets
- Balance relational and object-based data models
- Collaborate with data science, product, and lab teams for data accessibility and quality
- Translate business needs into technical architecture
- Communicate technical trade-offs to both technical and non-technical stakeholders
- Support unstructured data needs from business, sales, and operations teams
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Cloud Run
- Cloud Functions
- GitHub Actions
- CI/CD
Benefits
Mentoring & Coaching
- Mentorship
Karriere- und Weiterentwicklung
- Career growth
Weiterbildungsangebote
- Knowledge sharing
Lockere Unternehmenskultur
- Collaborative team environment
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Building next-gen data platform on Google Cloud for non-invasive glucose monitoring wearables. Python-first engineering and DevOps mindset required. Mentorship and career growth opportunities.
Anforderungen
- 5+ years generating business value via data engineering
- Comfort with Python-first engineering environment
- DevOps mindset balancing security, reliability, operational pragmatism
- Thrive in startup culture, stepping outside comfort zone, learning rapidly
- Team player valuing collaboration, clarity, shared ownership
- Hands-on experience with Cloud Run, Cloud Functions, or serverless patterns
- Familiarity with GitHub Actions and modern CI/CD pipelines
- Experience with data governance, schema evolution, or ML-ops workflows
- Exposure to health-tech, regulated data, or scientific computing environments
Aufgaben
- Design and implement Liom’s next-generation data platform on Google Cloud
- Define and own data lineage and traceability approaches
- Manage model evaluation, pipeline, and calibration workflows
- Implement quality controls and automated validation
- Develop data readers for object-based datasets
- Balance relational and object-based data models
- Collaborate with data science, product, and lab teams for data accessibility and quality
- Translate business needs into technical architecture
- Communicate technical trade-offs to both technical and non-technical stakeholders
- Support unstructured data needs from business, sales, and operations teams
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Cloud Run
- Cloud Functions
- GitHub Actions
- CI/CD
Benefits
Mentoring & Coaching
- Mentorship
Karriere- und Weiterentwicklung
- Career growth
Weiterbildungsangebote
- Knowledge sharing
Lockere Unternehmenskultur
- Collaborative team environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Liom
Branche
Healthcare
Beschreibung
Liom is a Swiss health-tech startup dedicated to revolutionizing personalized health monitoring through non-invasive glucose monitoring wearables.
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