Junior Big Data Engineer (m/f/x)

Which tasks are waiting for you?

  1. Database, ETL, Application or Web Service development
  2. Data modelling, Data Warehousing and DataVault
  3. Parallel, Batch and Stream-processing
  4. Working with data, algorithms and numbers
  5. Software development
  6. Design and develop real-time data driven solutions

What do we expect from you?

  1. Bachelor/Master degree in Computer Science, Physics, Statistics, Mathematics, Economics, Information Management or in similar qualifications
  2. Programming languages: Java, Python, C/C++, SQL, JavaScript
  3. High willingness to travel
  4. German (C1), English (fluent): in writing and speaking
  5. Good to have:
    1. Spark
    2. Experience of ETL/ELT and Data-Warehouse Systems (DWHs)
    3. Distributed data processing systems and databases
    4. Knowledge/experience with Hadoop, Kafka, AWS

What can we offer you?

  • Start-up culture
  • Top-class team of data scientists, data engineers and information management specialists in a pleasant working environment
  • Management 3.0 and Agile Organisation
  • Modern and central office in Munich
  • Continuous learning and training with at least 10 training days every year
  • The chance to take responsibility from early onwards
  • Newest equipment of your choice (MacBook, iPhone, Samsung Galaxy etc.)
  • Regular team events and celebrations including a Summer Party, Octoberfest, Christmas Party, monthly dinners, and Data Talks
  • 30 days vacation
  • Performance and market competitive salary
  • Knowledge about new and interesting projects in the world of big data
  • We will help with your relocation to Munich
  • Three ‘Social Days’ a year – it is important for us to give back to the community
  • Urban Sports Club Membership

Sounds interesting?

Please send all relevant documents (i.e. CV, motivation letter, academic degrees, and work references) and your earliest possible starting date via our form:

Apply Now

If you have any questions, feel free to contact us. We are looking forward to get to know you!

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