Expert Level Data Engineer (AI concepts)

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

We are looking for an Expert Level Data Engineer with 12+ years of experience to join our team, design and implement modern data solutions.

The ideal candidate should be comfortable working with multiple data platforms and technologies, while also bringing experience in emerging areas such as Agentic AI and Generative AI.

• Collect, clean, structure, and manage industrial data from multiple sources.
• Design and build scalable Data Engineering solutions and architectures.
• Develop and maintain data pipelines using Python.
• Ensure data quality, consistency, and reliability across platforms.
• Define target-state Data Engineering architecture and technical solutions.
• Work hands-on across multiple data platforms and ecosystems.
• Design and support Agentic AI and Generative AI use cases within industrial environments.
• Enable AI-driven automation and intelligent workflows using data solutions.
• Collaborate with business and technical teams to translate requirements into scalable solutions.
• Provide technical leadership and drive Data Engineering best practices.

• 12+ years of experience in Data Engineering.
• Strong expertise in data collection, cleaning, structuring, and data quality management.
• Hands-on experience with Python.
• Strong understanding of Data Architecture principles and solution design.
• Experience designing and implementing scalable Data Engineering solutions.
• Experience with multiple data platforms and ecosystems.
• Ability to work both hands-on and from an architectural perspective.
• Knowledge of modern AI concepts, including Agentic AI and Generative AI.

• Industrial sector.