Data Engineer, Back-End Architect

Responsibilities

• Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust architectures and data models
• Enhance business processes by proficiently managing the lifecycle of data and AI models
• Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines, utilizing advanced object-oriented programming languages and modern web frameworks
• Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions
• Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward

Requirements

• Master’s Degree in Computer Science, Computer Engineering, Data Engineering or a closely related field.
• 5-10 years working experience in Back-End Architectures and Data Engineering.
• Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia, C++).
• Experience with DataOps practices, contributing to the continuous improvement of data workflows.
• Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks.
• Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management.
• Proficient understanding of both SQL and NoSQL database technologies.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Fluency in Italian and English, written and spoken.
• Excellent communication skills.
• Willingness to travel internationally for business needs.

Certifications & Qualifications

• Master’s Degree in Computer Science
• Master’s Degree in Computer Engineering
• Master’s Degree in Data Engineering