Data Engineer (f/m/div.)

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. 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. 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 yo