Responsibilities
Prima di candidarsi per questo ruolo, la preghiamo di leggere le seguenti informazioni su questa possibilità, riportate di seguito.

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- 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

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- 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. xysqume

- Willingness to travel internationally for business needs.

Certifications & Qualifications

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- 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)
🏢 Jobtailor
📍 Milano