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

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📌 Data Engineer, Back-End Architect (Milano)
🏢 Altro
📍 Milano