Live opening · Posted 6 hours ago

Data engineer

ETAS · Budapest, , Hungary
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanyETAS
LocationBudapest, , Hungary
Job typeFull-time
Work modeHybrid
SkillsPython, Azure
SourceSmartrecruiters
Listed6 hours ago

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About the role

Description supplied by the original job listing.

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.
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.
► 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.
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.

Employment type
Full-time

Work arrangement
Hybrid

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