Software Engineer mit Flair für Daten (Data Engineering)

  • Zühlke
  • Zürich, ZH, Switzerland
  • 08/12/2021
Full time Data Engineering Big Data Artificial Intelligence Software Engineering

Job Description

Data ScienceYour task

  • Whether in the cloud or in your own data center: You are at home in the world of data and help our customers to get their data ready for business or operational use.
  • You develop a wide range of data sources in a high-performance and reproducible manner.
  • You create, test and monitor distributed data processing pipelines.
  • You will work closely with our data science team to bring machine learning models into production.
  • You create performance and cost estimates for different use cases.
  • You develop and create meaningful dashboards to visualize the processed data.

Your talent

  • You thrive on topics such as large amounts of data, massively scalable databases, cloud infrastructures or distributed algorithms.
  • You have a passion for sustainable software development and have already gained experience in it.
  • In addition to your knowledge of Python and the libraries in the Python data and ML ecosystem, you ideally bring hands-on knowledge or a lively interest in technologies such as Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes as well as Java, Typescript or .NET with.
  • You have a good understanding of the possibilities in public cloud environments and maybe already used Amazon AWS, MS Azure or Google's GCP cloud resources.
  • You have a university degree (ETH, Uni, FH) in computer science / information technology, data science, mathematics or a comparable education.
  • Excellent knowledge of English is required for this position. German would be a clear advantage.

Why Zühlke

  • Appreciative culture - we communicate openly with one another, assess ourselves honestly and enjoy working in a team.
  • Further development - we invest 10% of our sales in the development of our employees. We help you to grow through continuous and high quality further education.
  • Knowledge exchange - we pursue an interdisciplinary approach, a culture of knowledge exchange and learning from one another.
  • International topic groups - we exchange experiences and knowledge with each other and support each other in further development within our internal data and software communities
  • Great place to work - we offer a culture of trust, encourage our employees to think outside the box and share their ideas.

permanent80-100%Zurich, Bern