Senior Data Engineer Digital Transformation & Products Labs 80-100%
Credit Suisse
Zürich, Region Zurich, Switzerland
vor 23 Std.

Your field of responsibility

Credit Suisse's software engineers develop the next-generation tools that help Risk and Compliance fight financial crime.

We are looking for engineers who bring in expertise from different areas, including data modelling, big data warehouse and distributed computation, machine learning and natural language processing.

You will be assigned to a specific project and will be expected to be versatile, independent and enthusiastic to solve complex problems, as well as push the boundaries of what we do and how we do it.

In your role you will design, develop, test, deploy, maintain, and enhance software solutions and will work in a scrum setup to ensure continuous delivery of product features.

Your future colleagues

You will work in an international environment, with colleagues coming from different backgrounds. We work following agile methodologies that allow us to rapidly adapt to changing business priorities seamlessly.

We develop our products together, and as such you will be expected to co-operate with your team members, product managers, business analysts and project managers, to ensure the best possible product that best meets our business needs.

We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values.

Your skills and experience

  • BS / MS in Computer Science or related field / degree, and / or equivalent work experience
  • Solid experience as Python Developer and familiar with PySpark and distributed programming
  • Understanding of databases, data structures and SQL
  • Comfortable working with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
  • Comfortable with NLP algorithms, problems and metrics
  • Proficiency in troubleshooting software issues and debugging a large codebase
  • Understanding of machine learning development life-cycle, algorithms, libraries and performances metrics
  • You understand the value of diversity in the workplace and are dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work
  • Mr. Albinus would be delighted to receive your application.

    Please apply

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