Data engineer

Job Description

The Mobility Electronics (ME) division engineers a wide portfolio of micro-mechanical sensors that are essential to modern life, from automotive safety and navigation over consumer devices like smartphones and hearables up to control systems in spacecrafts. You can find Bosch sensors everywhere. Our team delivers solutions of data analytics and ML algorithms for the development and production of these products aiming improvements in yield or engineering efficiency. Our work is conducted in a highly dynamic, international setting, in close collaboration with in-house manufacturing and lab measurement teams.

Qualifications

► At least bachelor’s degree in STEM major,

► > 3 years of experience in a SW developer, or data engineer role (later preferred),

► Advanced level in Python, Databricks and PySpark; hands-on experience with all of these,

► Knowledge of Hadoop,

► Experience with Cloud technologies, especially Azure.

Get to know our #LikeABosch benefits.

We would like to help you GROW, so we offer you:

• Financial security & recognition: We review and increase your competitive base salary annually, offer performance-, loyalty-, and referral bonus.
• Trainings and professional development: We believe in a Life-Long Learning approach, so you can take advantage of several technical and soft skill trainings and language courses.
• Career development: We have a wide range of programs to choose from, even if its leadership, expert or project development you are aiming for. We also offer mentoring and coaching opportunities, we have PhD program and we offer international assignment possibilities.

We would like you to ENJOY the benefits of balancing your life and your work, so we pay attention to:

• Your work life-balance: You can work from our activity based offices designed for creativity and efficiency or from home while enjoying flexible working hours. We offer childcare possibilities and sabbatical option.
• Your health and well-being: We provide free professional consultants for any personal, legal, financial or health related issues. You can benefit from our developing onsite medical center and organized regular health checkups.
• We also offer you several perks and benefits: You can use your annual cafeteria allowance flexibly for family support (e.g. tax-free kindergarten and nursery allowances), health care, mobility (car sharing services) and recreation. You can enjoy our onsite canteen, we support when you work from home and if you live far, we cover your commute costs. We also appreciate your loyalty with jubilee gift and extra jubilee holiday.

You could join an INSPIRING community worth to belong:

• We are true to our values: We are committed to sustainability, we value that everyone is different and that diversity makes us truly successful. We also take social responsibility seriously and regularly organize charity actions, blood donations and support worthy causes.
• Team building activities and community events are also part of our everydays. We like to come together for a good summer party or family day.

Are you ready to work #LikeABosch?

Please apply with your English CV!

If you have any questions regarding the position or the application process, we encourage you to first visit our FAQ section [HERE], where you may already find the answer you're looking for. If you still need assistance, please feel free to contact us at the following email address - hungary.talentacquisition@hu.bosch.com – We'd be happy to help. Please note that applications submitted via this email address cannot be accepted.

Your tasks:

As a data engineer associate, you will

► Design solutions for data ingestion,

► Create architecture of ETL pipelines of manufacturing and development data of MEMS sensors, and implement them.

► Mentor trainees, review codes, act as role model for junior software engineers, data scientists and data engineers,

► Apply and live according to clean code principles and agile way-of-working,

► Consult with other colleagues in your field of expertise and support them in case of need.

What gives you further advantages:

► MSc in IT from a high-prestige university,

► Knowledge of BI tools (PowerBI or Spotfire),

► Experience in multinational, highly complex projects, ideally in a senior data engineer or architect role,

► AI/ML knowledge and experience of working in close collaboration with data scientists.