(Senior) Cloud Data Engineer (50-80%)

Permanent employee, Full-time · Pfäffikon

Your mission

About the Job

Spiden is a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital medical indicators, allowing to improve your individual health.

Using proprietary transcutaneous optical sensors, Spiden is building a cutting-edge biomedical data generation pipeline to power our Machine Learning prediction algorithms.  To achieve our vision, our team and advisory board consist of world experts coming from top academic institutions (ETH, Columbia, Princeton or Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for a talented, experienced, voraciously curious, and self-driven Data Engineer to play a central role in building it with great opportunities for growth.

As a Senior Cloud Data Engineer you'll guide, design and implement data pipelines to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data integration and transformational projects with internal teams at Spiden, our partners (such as universities and research centers) and equipment manufacturers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges. In this role, you will be part of the Machine Learning Engineering team communicating frequently and coordinating closely with all RnD teams, including Biomedical Science, Biochemistry, Biophotonics and Electrical Engineering, in our office in Pfäffikon (Schwyz).


  • Design, implement, and improve Spiden`s data pipeline and analytic capabilities emphasizing data security, data quality and timeliness, scalability, and extensibility
  • Implement and simplify self-service data query and analysis capabilities of all teams
  • Triage issues and debug/track/resolve by analyzing the sources of issues and the impact on medical equipment, hardware, network, or service operations and quality
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies
  • Communicate effectively via video conferencing for meetings, technical reviews, and coordination with external third parties such as partners and suppliers
  • Progressively, as we transition out of R&D phase to industrialization and product launch, deploy and use various big data technologies and run pilots to design low latency data architectures at scale
  • Contribute to existing documentation and educational materials
  • Become an evangelizer about modern data platforms and a vector of innovation in this field for the rest of the team
Your profile

Minimum qualification

  • Bachelor's degree in Computer Science, Mathematics, Physics, Engineering or a related technical field, or equivalent practical experience.
  • 4 years of experience in writing software working with at least one compiled and one interpreted language such as C, C++, Go, Python, JavaScript, Java, or similar.
  • Experience working with data warehouses, including DWH technical architectures, infrastructure components, ETL/ELT and reporting or analytic tools, environments, and data structures.
  • 3 years of experience in development using the Google Cloud Platform or other public cloud 
  • Excellent verbal and written communication skills

Preferred qualifications

  • Experience leading end-to-end the design and implementation of data services, including ingestion, storage, backup, integration (including third party data providers and device-generated data streams), and APIs.
  • Experience in the data management domain, including data quality, data lineage, data ontologies and data security
  • Experience leading cross-disciplinary data projects with fast iterations and within changing experimental setups (such as academic, laboratory or R&D environment)
  • Experience developing infrastructure as code and DevOps exposure will be highly beneficial
  • Experience in the healthcare or pharma industry working with medical devices or in a biomedical laboratory environment will be a plus

Work/Life Balance

Working at a growing MedTech start-up is demanding and our goals are ambitious, which is why our team puts a strong emphasis on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. Therefore, we offer flexibility in working hours and encourage you to find your own balance between your work and personal life.

Values and Mission are important at Spiden, as the ultimate goal is to improve people's well-being and we aspire to live that. We will have the chance to discuss value and mission during the interview process.

Mentorship & Career Growth

Our 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. We want you to grow with Spiden.
About us
Spiden is a Swiss medtech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital medical indicators, allowing to improve your individual health.
We are looking forward to hearing from you!
Thank you for your interest in Spiden AG. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to ​cs@spiden.com.

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