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Software Engineer

100%, Zurich, temporary

The Swiss Data Science Center (SDSC) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain and the Swiss academic community at large. The SDSC is composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich.

Project background

The mission of the software development team is two-fold: first and foremost, we are creating Renku, a software platform that empowers data scientists to produce reproducible, reusable and verifiable analyses. Second, we play a vital part in the many data science projects of the SDSC by contributing our engineering expertise to the construction of data analysis pipelines.

Job description

We are looking for creative developers to join our ranks. As a member of our team, you will be asked to develop independently or in a team the various services for our data science platform. Currently our development efforts are heavily focused on the efficient use of our knowledge graph for metadata storage, search and user interface (API) development.

Our team loosely follows an agile model of software development and we expect all of our members to contribute their unique viewpoints to the overall decision making. The platform we are building is extremely multi-faceted which means that our team is equally varied and eager to learn. As a critical part of the development process, we actively collaborate with data scientists from the academia and industry to gather requirements for developing and improving the features of our platform.

Your profile

You are an experienced developer with a minimum of an BSc in Computer Science or related disciplines. You have a talent for crafting elegant software solutions and are no stranger to building backend services with various types of APIs. You have experience with Scala and ideally also with Python; knowledge of additional programming languages and/or the web development stack is a plus. You are familiar with container technology, such as Docker; hands-on experience with Kubernetes is a plus. Experience with ontologies, knowledge engineering and knowledge graphs is a major plus.

We offer you a stimulating, collaborative, cross-disciplinary environment in a world-class research institution. Our team of 11 hails from 10 countries and we are committed to upholding the team’s diversity in the future. We deeply value work-life balance and will readily consider part-time employment options as well as occasional home-office work. In this dynamic position, you will make full use of your engineering skills to develop backend services, design user interfaces, contribute to design decisions and investigate available technology options. We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on the job. We are dedicated to open source software and we strongly encourage our team members to seek out opportunities to engage with and contribute to open source communities as a part of their development process.

Your work at the SDSC will contribute to improving the process of data science by providing a path toward reproducibility and reusability, with potential for significant impact in scientific fields as varied as astronomy, ecology, and personalized medicine. If you have questions regarding this position, do not hesitate to send an email to:

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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We look forward to receiving your online application with the following documents:

  • CV
  • Diplomas

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Swiss Data Science Center can be found on our website Questions regarding the position should be directed to Nina Pupikofer, Tel +41 44 632 80 74 or email (no applications).

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