15 ott - Monza
Allianz
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 mult
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