Data Engineer for Connected Services

Cluj-Napoca, Cluj
Permanent
Full-time

Acum 6 zile

Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector. Through its extensive expertise in software, hardware & mechanical engineering, reliability engineering, as well as sales planning, the center contributes to the development of innovative products and services based on artificial intelligence (AI) applied in the fields of automated driving, electric and connected mobility. Thanks to the diverse professional and personal development opportunities, flexible working conditions, modern offices and laboratories in Cluj-Napoca, Jucu, Bucharest and Sibiu, we are one of the most desired employers among engineers and IT professionals in Romania.Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference.Work #LikeABosch Qualifications

BSc and/or MSc in Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable fields
Minimum 2 years' experience as Data Engineer working on Data integration platforms
Proficient Python programming skills
Developing quick prototypes for data transformations
Operations with tables in relational (or non) DBs
Reporting and monitoring
Organized, accurate, thorough, and able to monitor work for quality
Excellent communication skills in English, both spoken and written
Preferential: Practical experience in project coordination roles (e.g. product owner, agile master etc.)

Additional Information# LikeABosch Benefits:Your work-life balance is valuable to us, so we offer you:

25 Days of annual leave, because work-life balance is essential to us;
Flexible working hours and if you want to work from somewhere else than the office, our Home Office program helps you do that 70% of your working time/month.

Your health and well-being is important to us, so we have you covered:

Medical subscription;
Accident insurance;
Sport activities and well-being initiatives.

We believe in a Life-Long Learning approach, so you can take advantage of:

Technical and soft skills trainings;
Access to e-learning platforms;
Local and Global career development programs;
Opportunity to attend conferences;
Bookster subscription.

You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.On top of these, we are offering:

A monthly budget which can be used for several different services on an online benefit platform;
Annual bonus;
Lunch discounts.

Ready to work # LikeABosch?We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members. Job DescriptionAs a Data Engineer in the Engineering and Data Solutions department you will work with us on creating software products with a strong focus on security, quality and automation for continuous data flow in the scope of vehicle-to cloud ecosystem, working together with an internationally distributed team, in a hybrid working model. Become part of our team and join us in creating state of the art data products.
In your role you will:

Develop data integration solutions for large scale automotive R&D applications
Design, test and document, reliable and excellent quality data integration solutions
Design Proof-of-concepts and pitch for implementation.
Contribute to the architecture and implementation of software products for (near)-real time processing.
Develop solutions for scalable and automatic data processing, involving Extract, Load, Transform (ETL/ELT) in Big Data frameworks
Create and maintain data visualizations in close collaboration with domain experts
Work in an agile environment with an internationally distributed team and collaborate closely with key stakeholders (Project Leaders, Product Owners, Solution Architects)
Present and communicate solutions to an international audience
Guide and mentor new team members

Technology stack:

Python (with focus on data libraries: pandas, numpy, scipy etc.)
Optional: Golang, Scala, Java
Apache Spark / Pyspark
Big Data platforms: on premises (Hadoop) and Cloud (Azure Databricks/Synapse/Data Factory)

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