Data Engineer for Data Pipeline Development in automotive standards

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 2400 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

Your contribution to something big

►   Implement big data solutions for processing, storage, analysis, indexing and retrieval, creating data lake solutions

►   Develop, document and review high performance algorithms and modules for data pipelines

►   Assemble large, complex data sets that meet functional / non-functional business requirements, establish KPI driven business intelligence

►   Testing and optimization of data pipeline (for the purpose of training machine learning algorithms, V&V, development) ensuring required quality and scalability

►   Analysis and specification of requirements and implementation of data pipeline modules

►   Evaluate and integrate big data tools to create efficient and reliable data pipelines

►   Work with stakeholders to ensure optimal operation of the data pipeline

►   Analysis and development of goal-specific applicability of machine learning, deep learning and data engineer and data science methods

►   Development, testing of deep learning loop toolchain taking into account internal and external customer requirements

Qualifications

What distinguishes you

►   1-2 years experience in an engineer or developer role related to machine learning, data analysis and/or big data. We also accept newly graduated applicants if thesis work was connected to these technical areas.

►    Coding experience in Python

►    Good cooperation skills

►    Practical experience in data visualisation

►    Practical experience in Power BI and/or Splunk

►    Openness to learning new technologies

►    Openness to actively work together with international locations

►    Language: Fluent English required, Hungarian and German are plus.

What gives you further advantage

►    Knowledge and experience with the following technologies, frameworks and programming languages: Microsoft Azure, AWS, Docker, Kubernetes, Kubeflow, MongoDB, FastAPI, Jupyter notebook, C++, Linux

►    Knowledge in databsae 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:

o   With high % of home-office opportunity, that will remain after the pandemic

o   Flexibility in location & timing – in accordance with team’s target & alignment

o   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

Please apply with your English CV!