Description

Our team is happy to welcome you. Here is what you will be doing if you choose to join the team: 

► Analyze and enable business requests for advanced data analytics and insights generation
► Build, integrate and sustainably deploy data pipelines
► Develop, maintain, optimize data structures in a data lake platform (data preparation, data ingestion, resource development, data quality)
► Conduct data integration across on-prem, cloud and hybrid infrastructure
► Derive data model and architecture
► Implement data security and privacy guidelines based on Bosch standards
► Develop and implement data provisioning strategy (APIs, exports and others)

Qualifications

Who you are: 

► Bachelor’s degree in Computer Science, Data Science, or a related field
► Minimum of 2 years of experience on relevant position here with hands on experience in Data Integration projects
► Strong proficiency in programming languages, preferably Python
► You have good knowledge of Microsoft Azure platform and belonging services, certification in the area is a plus
► You are at expert level for ETL skills (preferred Azure Data Factory and Databricks, PySpark)
► You have very good SQL knowledge and an understanding of data models
► Strong problem-solving and analytical skills
► Excellent communication and collaboration abilities
► Self-driven and highly motivated to work independently while contributing to and shaping a team environment
► Strong attention to detail and the ability to prioritize tasks effectively

Additional Info

#LikeABosch Benefits:

Your work-life balance is valuable to us, so we offer you:

• 22 - 27 days of annual leave, because work-life balance is essential to us  
• Flexible working hours
• Our Remote Home Office program gives you remote working experience from anywhere, as long as it is in borders of Rebublic of Serbia
• Up to 3 days off for private purposes

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

• Medical subscription for annual health check ups
• Paid private health insurance
• Mental health and well-being initiatives

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

• Technical and soft skills trainings
• English and German language courses
• Access to e-learning platforms
• Local and Global career development programs
• Opportunity to attend events

You will be part of a product company. You will contribute to developing end-to-end products that are delivered to global internal/external customers and users.

On top of these, we are offering:

• Canteen (when working in office) with lunch discounts
• Annual bonus
• Referral bonus

If you are ready to work #LikeABosch, please fill in the contact form and submit your CV (PDF format) in English language.

If you have any questions, you can contact us electronically.

Included in the referral program.

Company Description

About Bosch: 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. 

About Team: At Bosch Power Tools, our Business Digital organization (PT/BD) leads the charge in driving digital transformation across projects, products, and services. With governance and innovation at our core, we’re shaping the future of how technology empowers our business.

Embedded within PT/BD, our Chapter for Data Engineering and Data Science shares a bold mission: To unlock innovation and operational excellence through data provisioning, advanced analytics, AI, and resilient data infrastructure. We deliver measurable business impact, enhancing customer and brand experience, boosting revenue, and streamlining operations.

As a Cloud Data Engineer in our chapter, you won’t just develop data pipelines solutions, you’ll define how data thrives across our organization. From ideation and design to development and deployment, you’ll work hands-on with cutting-edge technologies. You’ll focus on high-value use cases across diverse business domains.

You’ll join a close-knit community of experienced Data Engineers and Data Scientists who thrive on collaboration, challenge, and continuous growth.