DeepCube, the AI division of Nano Dimension, is an innovative research and development group specializing in deep learning and AI solutions. Our focus is on creating a cutting-edge AI engine for Additive Manufacturing, combining the power of artificial intelligence with advanced manufacturing techniques.

As a Data Engineer at DeepCube, you will play a vital role in designing, developing, and maintaining data systems and pipelines on a large scale. Your work will encompass both on-premises and cloud-based environments, utilizing a diverse set of tools to drive the scientific frontiers of AI forward. Collaboration with other team members, including deep learning engineers and data scientists, will be essential to deliver successful outcomes.

We are looking for someone who is versatile, displays leadership qualities, and is passionate about taking on new challenges.

Responsibilities:

• Designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access
• Creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize
• Collaborate with data scientists to build machine learning and analytics infrastructure from research to deployment
  
  

Requirements:

Requirements:

• Bachelor's degree in exact sciences
• At least three years of experience as a Data Engineer
• Experience with large data volumes (TBs)
• Solid experience with software development principles in Python
• Excellent team player with strong communication skills
• Well-organized, thorough, and able to multitask
• Hands-on, get it done, and result oriented
  
  

Preferred qualifications:

• Experience with IoT data
• Experience with DWH solutions (AWS Athena, Presto, Hive)
• Experience with RDBMS solutions (Postgres)
  
  

Join us at DeepCube, where your passion for data engineering and AI will drive the transformation of Additive Manufacturing, unlocking new possibilities in this revolutionary field.