Data Engineer (f/m/div.)
You will design, build and maintain scalable ETL pipelines and data products that support digital procurement and AI initiatives. The role focuses on translating business requirements into reliable data models while ensuring data quality, security, and integrity.
Skills required
About this role
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!