DATA ENGINEER
14 ore fa
Monza, Lombardia, Italia
Allianz
Tempo pieno
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Overview 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. Responsabilità
* 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 Requisiti fondamentali
* 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)
* Excellent communication skills
* Willingness to travel internationally
* International exposure through academics or professional experience
* Ability to work effectively in a multidisciplinary team
* excellent communication
* team collaboration
* adaptability
* SQL
* ETL
* data modeling
* 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 Requisiti fondamentali
* 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)
* Excellent communication skills
* Willingness to travel internationally
* International exposure through academics or professional experience
* Ability to work effectively in a multidisciplinary team
* excellent communication
* team collaboration
* adaptability
* SQL
* ETL
* data modeling