Credit Suisse

Senior Big Data Engineer

Job description

Your field of responsibility

In this position as a Senior Big Data Engineer within the Capital Reporting team, you will design and build new calculations and reporting functions using state of the art Big Data technologies to support the regulatory deliveries against FINMA, PRA and IHC for Credit Suisse.

Within the highly motivated team, you will collaborate closely with business teams to understand data and functional requirements. You will be responsible for defining and implementing integration with downstream applications and provide key input into overall IT architecture of the solution, including technical environment configuration, data modelling, data integration, data presentation, information security and other IT architecture related topics. Furthermore, you will train and skill up junior big data developers to built-up an even stronger development team. To ensure smooth and timely daily and monthly business processes which includes reporting to the regulators and SNB you will join a 5/24 on call 3rd Level Support Team with a 4-5 week’s rotation.

Your future colleagues

We build, maintain and transform applications in line with the bank’s strategic position to be the leading digital bank for Switzerland, we work together in a truly agile way: Value for us comes from smart solutions that cover our clients’ needs in creative and sustainable ways. We believe in empowered and self-organized teams to deliver our state-of-the-art solutions. We foster an engineering driven culture and an environment promoting life-long learning. 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

With the following skills you will be successful in this position:

  • A university degree or equivalent education in IT or another technical specialization, ideally with focus on Data Management.
  • You have multiple years of proven work experience of applying Big Data technologies and advanced analytics methods to solve business use cases.
  • Experience with Hadoop and its ecosystem tools like Impala, ideally on Cloudera distribution, as well as practical skills in building data processing pipelines using Apache Spark.
  • Excellent knowledge of SQL including experience with relational databases like Oracle/MySQL.
  • Knowledge and development experience with Scala, Java, and Python.
  • You can work in a fast-paced environment, are comfortable with changing priorities and tight deadlines and manage your own workload with minimum supervision.
  • Your excellent verbal and written communication skills in English enable you to build strong collaborative relationships with colleagues in IT and business groups.
  • Dedication to fostering an inclusive culture and value diverse perspectives.


Mr. Alaimia would be delighted to receive your application.
Please apply via our career portal.

Your new employer

Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.

We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. We are committed to building a culture of inclusion with a deep sense of belonging for all of us. We will consider flexible working opportunities where possible. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.

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