About the role
Job Description
Your contribution to something big:
As a Data Engineer, you will build scalable data solutions that digitalize procurement processes and enable AI-driven initiatives. Working in an international team, you will turn business needs into reliable, high-quality data products.
* Build and operate scalable data solutions: Develop, maintain and continuously improve automated ETL pipelines, data products and data models that support digital procurement and AI use cases.
* Turn business needs into data solutions: Translate customer and stakeholder requirements into robust data transformations and models that enable reporting, analytics and informed decision-making.
* Ensure data quality and reliability: Establish and continuously improve data integrity, security and quality by working closely with data producers and consumers.
* Enable data-driven decisions: Support ad-hoc analyses and develop solutions that can be documented, scaled and reused across the organization.
* Drive reliable data operations: Apply DevOps principles to ensure the stability, monitoring and continuous improvement of automated data pipelines, including data testing, CI/CD and KPI tracking.
* Collaborate internationally: Work closely with project management, customers, IT teams and other stakeholders, balancing business needs with technical and organizational frameworks.
* Bring a service-oriented mindset: Act as a trusted partner for data consumers and stakeholders, focusing on practical solutions and measurable business value.
* Explore the future of AI: Stay informed about the latest developments in Generative AI, including agentic AI, and identify opportunities to apply these technologies to real-world business challenges.
Qualifications
What distinguishes you:
Education: Master's degree in Computer Science or a related field, or equivalent professional experience.
Experience
* 5+ years of professional experience in data engineering, data modeling, ETL processes and data warehouses/lakehouses.
* Experience designing and operating automated data pipelines and scalable data solutions.
* Practical experience working with data and analytics platforms such as Databricks, Power BI or Tableau.
Know-how:
* Strong proficiency in SQL; experience with Python is an advantage.
* Solid understanding of data modeling, ETL/ELT processes, data warehouses and lakehouses.
* Proven knowledge of DevOps principles, including data testing, CI/CD, monitoring, KPI definition and tracking.
* Understanding of agile software development practices.
* Knowledge of current developments in Generative AI and agentic AI, with an interest in applying them to real-world business challenges.
* Ability to design technical concepts and communicate them clearly to both technical and non-technical audiences.
Working Style and Methods:
* Analytical, structured and solution-oriented.
* Strong stakeholder and project management skills.
* Collaborative and service-oriented mindset.
Personality:
* Curious, adaptable and eager to turn new technologies into practical solutions.
Languages: Excellent English communication skills.
Additional Information
Work #LikeABosch includes:
⚖️ Flexible work conditions
🔀 Hybrid work system
🌐 Exchange with colleagues around the world
🧑⚕️ Health insurance and medical office on site (general surgeon, psychology, physiotherapy, general clinic)
📚 Training opportunities (p.e., technical training, foreign languages training) & certifications
📈 Opportunities for career progression and continuous professional development
💲 Access to great discounts in partnerships and Bosch products
🏋️ Sports and health related activities
💰 Flexible benefits platform
🅿️ Free parking lot
🍽️ Canteen
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!