Junior Data Engineer

Job description

Software Engineering

Are you passionate about software engineering as well as data and AI? As a data enthusiast at the interface between the two disciplines, you will ensure that our customers can exploit the value of their data.

Your Role

  • Whether in the cloud or in a data center on premise: you master the data world and support our clients in making their data fit for business or organizational use;
  • You make various data source available in a performant and reproducible manner;
  • You develop, test and monitor distributed data processing pipelines;
  • You work closely with data scientists to develop and productionize machine learning models;
  • You prepare performance and cost estimates for various use cases;
  • You develop and create compelling dashboards to visualize the processed data.

Your Talent

  • You thrive on topics like big data, massively scalable databases, cloud infrastructures, or distributed algorithms;
  • You have a passion for sustainable software development and have already gained experience working in technical roles;
  • In addition to your knowledge of Python and the libraries in the Python, data and machine learning ecosystem, you ideally have hands-on skills or a keen interest in technologies such as Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes and Java, Typescript or .NET;
  • You have a good understanding of the possibilities of large public cloud environments and preferably have already used Amazon AWS, MS Azure or Google's GCP clouds;
  • You have a university degree (ETH, Uni, FH) in Computer Science/Information Technology, Mathematics, or a comparable education;
  • Excellent English language skills are required for this position. Fluent command of German would be a clear advantage.

Why Zühlke

  • Unique culture – we communicate openly with each other, assess ourselves honestly and enjoy working in a team;
  • Further development – we invest 10% of our turnover in the development of our employees. We help you grow through continuous, high-quality training;
  • Knowledge exchange - we have an interdisciplinary approach, culture of knowledge sharing and learning from each other;
  • International topic groups – we exchange experience, knowledge and support each other in our further development within our internal data and software communities;
  • Great workplace – we offer a culture of trust, encourage you to think outside the box and to share your ideas.

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