AI Analytics Engineer Go to Market

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!