Data Engineer

Allianz; Monza; In loco; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Allianz in Monza is seeking a Senior Backend Architect/Data Engineer to design robust data architectures and pipelines that support data-driven decisions. You will collaborate with data science teams to align data needs with scalable, production-ready solutions and drive the ML lifecycle and DataOps to accelerate AI initiatives.

This role sits within the Chief Protection Officer Team, offering international exposure through cross-functional collaboration and shaping data systems for strategic

Competenze

• Master's Degree in Computer Science, Computer Engineering, Data Engineering or related field
• 5–10 years of experience in Back-End Architectures and Data Engineering
• Proficiency in SQL, ETL, data modeling, and programming languages such as Python, Julia, C++
• Experience with DataOps practices and improving data workflows
• Knowledge of cloud services (AWS, GCP, Azure) and their data engineering applications
• Familiarity with MLOps and tools like MLFlow for ML lifecycle management
• Proficiency in SQL and NoSQL databases
• Experience with Docker and Kubernetes for containerization/orchestration
• Fluency in Italian and English (written and spoken)
• Willingness to travel internationally
• International exposure through academics or professional experience
• Ability to work effectively in a multidisciplinary team

Mansioni

• Collaborate with the data science team to understand data needs and design robust architectures and data models
• Manage the lifecycle of data and AI models to improve business processes
• Architect, build, and deploy data extraction, transformation, and loading processes to create data pipelines using modern web frameworks and object-oriented languages
• Maintain and enhance production data processes by delivering scalable, optimized solutions
• Contribute to R&D efforts to identify and integrate cutting-edge technical solutions

Conoscenze

SQL

ETL

Data modeling

Python

Julia

C++

DataOps

ML lifecycle

Cloud services

MLOps

NoSQL

Docker

Kubernetes

Italian language

English language

Team collaboration

Formazione

Master's Degree in Computer Science / Computer Engineering / Data Engineering

Strumenti

MLFlow

Docker

Kubernetes

SQL databases

NoSQL databases

Descrizione del lavoro

In this role you will design and implement robust data architectures and pipelines to support data-driven decision making. You will collaborate with data science teams to align data requirements with scalable, production-ready solutions. You’ll drive the ML lifecycle and data ops to accelerate AI initiatives and R&D efforts. This position sits within the Chief Protection Officer Team, offering impact through cross-functional collaboration and international exposure. You will be empowered to shape data systems that underpin strategic protection-focused initiatives.

• Collaborate with the data science team to understand data needs and design robust architectures and data models
• Manage the lifecycle of data and AI models to improve business processes
• Architect, build, and deploy data extraction, transformation, and loading processes to create data pipelines using modern web frameworks and object-oriented languages
• Maintain and enhance production data processes by delivering scalable, optimized solutions
• Contribute to R&D efforts to identify and integrate cutting-edge technical solutions
• Master's Degree in Computer Science, Computer Engineering, Data Engineering or related field
• 5–10 years of experience in Back-End Architectures and Data Engineering
• Proficiency in SQL, ETL, data modeling, and programming languages such as Python, Julia, C++
• Experience with DataOps practices and improving data workflows
• Knowledge of cloud services (AWS, GCP, Azure) and their data engineering applications
• Familiarity with MLOps and tools like MLFlow for ML lifecycle management
• Proficiency in SQL and NoSQL databases
• Experience with Docker and Kubernetes for containerization/orchestration
• Fluency in Italian and English (written and spoken)
• Willingness to travel internationally
• International exposure through academics or professional experience
• Ability to work effectively in a multidisciplinary team
• team collaboration
• SQL
• ETL
• data modeling