Data Scientist - Data Engineer, Engineering Center Cluj

Qualifications

Education:

• Completed studies in a technical discipline (eg. BsC. in Computer Science, Mathematics, Physics)

Know-how:

• Comprehensive knowledge of algorithms and data structures
• Capability to perform complex data transformations by means of efficient, performant and scalable programming
• Experience with Python, SQL, Linux shell scripting
• Experience with Big Data technologies (eg. Hadoop ecosystem), RDMBS (eg. Oracle DB)
• Understanding of streaming platforms like Apache Kafka
• Independent and self-responsible way of working, with a strong focus on quality

Highly desired skills:

• Deep understanding of the design and architecture of big data applications and proven experience with Hadoop ecosystems
• Project experience in the development and operation of complex data architectures

Languages spoken:
o A good level of English; German can be an advantage

Nice to have:
o Willingness to travel, scientific research experience

#LikeABosch Benefits:

• 25 days of annual leave, because work-life balance is essential to us;
• Flexible working hours, but if you want to work 5 days per month from somewhere else, feel free, our Home Office program helps you do that;
• Lunch discounts and daily subsidies at our canteen/restaurant;
• Private medical insurance, because your health is a priority to us;
• Flexible benefits - On top of your salary, we offer you a monthly budget via your benefit account, which can be used for several different services;
• Annual performance bonus;
• Internal development Trainings - we have local development programs for Project Managers, Line Managers and Experts;
• Inspiring working conditions.

• As Data Engineer you will work in an international team where you will be responsible for the development of Big Data architectures for integrating and processing large data streams in (near-) real-time
• You will be responsible for provisioning data from different Bosch divisions worldwide, both from manufacturing and R&D. This includes the integration of data from our products, factories, suppliers and HW & SW development activities
• The data engineering tasks involve the development of code using programming languages like Scala, Python, SQL and JAVA using state-of-the art frameworks like Apache Spark
• The data sources you will work with include everything from flat text files, semi-structured logs and messages, relational and non-relational databases, sensor and event streams to images
• You will be involved in the design, development and testing of data models and data interfaces
• Together with your data analyst colleagues you will assure the data quality through the necessary checks and transformations
• Through the participation to conferences and trainings, you will open new technological horizons to our team
• You will apply new approaches as a direct result of your own initiative that results in a better solution, increased quality and/or greater efficiency. Be creative and pro-active!