MICROELECTRONICS (MEMS) DATA-ENGINEER

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe.

Welcome to Bosch.

The Bosch Engineering Centre of Budapest has been established in 2005. Today, it is a major research and development hub within the Bosch world focusing on the big mobility trends: automated, electrified and connected mobility. More than 2700 engineers are working together on complex automotive products within various fields of engineering from software to mechanical and hardware product development. Your ideas will be part of products improving the life across the globe.

Job Description

Task:

► Development of databases for the sensors of airbag and ESP systems / automated-driving vehicles (acceleration and rotation sensor integrated module MEMS)

► Preparation of ETL and analysis pipelines

► Support for big data-based analysis

► Implementation of big data tools (including back-end and front-end software development) in analytical, manufacturing and development processes

► Responsible for creating the user interface (UI) and ensuring the smooth user experience (UX) of a web application by working closely with designers and back-end developers and implementing the visual/ interactive elements of big data tools

► Cooperation in an international team

► Application of Bosch development methods in accordance with international and Bosch standards, customer requirements.

Qualifications

Expectations:

► Advanced technical degree (BSc / MSc) in either mechatronics, electrical engineering, computer science engineering, informatics or physics

► Self-Initiative, openness

► Good communication and problem-solving skills

► Good organizing ability: active tracking of tasks, empowerment and team play in a multinational team

► Fluent English knowledge both in written and oral form, German knowledge is an advantage

► SW testing experience and clean code skills

► Version control knowledge (GIT)

► Python (pandas, numpy, scipy, matplotlib), PySpark, CSS, Javascript and HTML programming skills

► Experience with big data, database systems and distributed computing (Hadoop) or cloud computing

Preference:

► Statistical knowledge

► Experience with data visualisation tools (Power BI, Tableau)

► Knowledge and experience with the following technologies, frameworks and programming languages: Scala, Linux, Docker, Kubernetes, Jupyter notebook, C++, REST API, Airflow, GPU programming experience

► Knowledge in database queries, data warehouse and automation systems (Jenkins, BIP)

► Practical knowledge of agile development, and experience with agile ceremonies, JIRA/Confluence are also plus.

Additional Information

Benefits & our offer:

► Competitive compensation package incl: salary, annual & performance bonus, cafeteria

► Flexible work arrangements:

• With high % of home-office opportunity, that will remain after the pandemic
• Flexibility in location & timing – in accordance with team’s target & alignment
• Our on -site Activity Based Working environment which is designed for creativity and efficiency using advantages of Smart Buildings

► International, diverse, inclusive company culture supported with transformational leadership mindset

► Continuous learning & growth opportunity – we offer wide range of development programs and trainings to ensure that you’ re ready for the next challenge

► Wellbeing programs including Medical & Mental support

► Organized events in various theme such as Sport, Cultural & Educational also, many self-organized activities supported by the company

► Childcare opportunity #Bosch Kindergarten & Nursery

► Easily accessible by public transportation or by bicycle - parking and bike racks are available

If you require any further information, please feel free to contact us on the following number: +36 80 18 08 01. Our colleagues can help you with answers during the weekdays between 08:00 a.m. till 16:00 p.m.