Azure Big Data Engineer (m/w/div)

Job Description

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 Robert Bosch Power Tools GmbH is looking forward to your application!

Job Description

• Enable our future : You build, integrate and sustainably deploy data pipelines for our AI solutions (focus on “Voice of the Consumer” NLP activities). You conduct data integration across on-prem, cloud and hybrid infrastructure.
• Build robust and sustainable solutions : You develop, maintain, optimize data structures in a data lake platform (data preparation, data ingestion, resource development). You derive data models. You define and implement concept for metadata management.
• Raise the bar : You implement security and privacy guidelines based on corporate standards. You develop and implement a data provisioning strategy for the projects in your responsibility (APIs, exports and others).

Qualifications

• Education : Relevant university degree (e.g. Computer Science, Business Informatics, Applied Mathematics, Industrial Engineering, Electrical Engineering).
• Experience : 2+ years of experience on relevant position here with hands on experience in Data Integration projects. Practical experience with AWS and/or Azure platform and belonging services, certification in this area is a plus.
• Expertise : Expert level of ETL skills in both AWS and Azure (Azure Data Factory, Databricks and Synapse. Expert level with relational databases. Deep knowledge in Business Warehousing and Analytical modeling. Very good SQL knowledge and an understanding of data models. Additional expertise in data science is beneficial (i.e. Python, Machine Learning).
• Personality : High initiative and ability to work independently.
• Languages : Fluent in English, German is a plus.

Additional Information

Need support during your application?
Nadine Dieterle (Human Resources)
+49 711 758 4688

Need further information about the job?
Christopher Wiess (Functional department)
+49 711 758 2476

Job Location