Prada Group Data Engineer

The Prada Group, a beacon of luxury and innovation, was established in 1913 in Italy and has since become synonymous with excellence. Encompassing iconic brands such as PRADA, Miu Miu, Church’s, Car Shoe, and Pasticceria Marchesi, the Group operates in over 45 countries, employing a diverse workforce from more than 100 nationalities. As part of this prestigious conglomerate, employees are immersed in a creative and international environment that values curiosity, excellence, and the professional growth of its talent.

1. Develop a comprehensive understanding of business and technical requirements to support model evolution and drive digital transformation, with a focus on customer intelligence data and sales KPIs.
2. Design, maintain, and enhance key datasets to ensure they are high-quality, certified, and easily accessible by enterprise users, components, and systems.
3. Analyze and develop data operations and pipelines in accordance with enterprise guidelines and best practices, including data quality processes, governance, and deep catalog/glossary curation.
4. Collaborate with business stakeholders and end users to build scalable and agile solutions.
5. Develop, deploy, and manage efficient and automated data pipelines using cloud-based technologies and platform capabilities such as Azure, Databricks, Unity Catalog, and Git-based CI/CD.
6. Adapt to evolving requirements by maintaining and improving existing data pipelines, integrating new features and change requests using an agile approach.

1. Bachelor's or Master's degree in Software Engineering, Computer Science, Mathematics, or a related STEM discipline.
2. 3+ years of experience in intensive data operations within Big Data and cloud infrastructures/platforms.
3. Strong experience in analytics within the retail industry, focusing on modeling and leveraging sales and customer KPIs.
4. Proven background in Big Data approaches, DBMS/Data Warehouse modeling, optimization, and management, with deep knowledge of Databricks, SQL, and Spark-related programming languages.
5. Extensive expertise in data preparation, integration, modeling, and governance processes.
6. Experience in designing and managing end-to-end production-ready solutions.
7. Experience in developing microservices and APIs solutions, such as REST and OAuth.
8. Proficiency in configuring and utilizing cloud infrastructures and platforms, with a preference for Microsoft Azure services.
9. Familiarity with stream-processing systems and lambda architectures, including Delta Live Tables, Azure Event Hubs, and Spark Streaming.
10. Fluency in Italian and English, both written and spoken.

1. Data analysis and modeling
2. Cloud-based data pipeline development
3. Collaboration with business stakeholders
4. Agile project management
5. Proficiency in Databricks, SQL, and Spark
6. Cloud infrastructure configuration
7. Stream-processing systems

3+ years of experience in intensive data operations within Big Data and cloud infrastructures/platforms, particularly in the retail industry.

Bachelor's or Master's degree in Software Engineering, Computer Science, Mathematics, or a related STEM discipline.

Employees enjoy a creative and international environment that fosters professional growth and values talent and passion.

The Prada Group cultivates a workplace culture that thrives on creativity, innovation, and diversity. Employees are part of a dynamic and international team that encourages curiosity and the pursuit of excellence, providing a platform for professional development and growth.