Prada Group Data Engineer

Prada Group is a leading global luxury fashion group that manages a portfolio of distinguished brands including PRADA, Miu Miu, Versace, Church's, Car Shoe and Luna Rossa. The Group is recognised for Italian craftsmanship, creative innovation and a multinational, design-driven organisation that invests in digital and data capabilities to support commercial and customer strategies.

1. Translate business and technical requirements into scalable data models and production-grade datasets, with a particular focus on customer intelligence and sales KPIs.
2. Design, build, maintain and optimise automated cloud-based data pipelines to ensure high-quality, certified and easily consumable datasets for enterprise users and downstream systems.
3. Implement data governance, cataloguing and quality controls in line with enterprise standards (catalog/glossary curation, data quality processes).
4. Collaborate with business stakeholders, data consumers and cross-functional teams to deliver agile, production-ready solutions and integrate change requests.
5. Develop and deploy microservices and API-based integrations (e.g., REST, OAuth) to expose data and services to internal applications and analytics platforms.
6. Continuously improve existing pipelines and platform components, adopting CI/CD best practices and cloud-native capabilities.

1. Bachelor's or Master's degree in Software Engineering, Computer Science, Mathematics or a related STEM discipline.
2. Minimum of 3 years' hands-on experience in data operations within Big Data and cloud platform environments.
3. Fluent written and spoken Italian and English.
4. Proven track record designing and operating end-to-end, production-ready data solutions and pipelines.
5. Experience applying analytics to retail contexts, specifically modelling and leveraging sales and customer KPIs.

1. SQL
2. Spark
3. Databricks
4. Microsoft Azure
5. Unity Catalog
6. Git based CI/CD
7. Delta Live Tables
8. Azure Event Hubs
9. Spark Streaming
10. REST
11. OAuth
12. microservices
13. APIs
14. DBMS
15. Data Warehouse
16. Big Data
17. stream-processing systems
18. lambda architectures

At least 3 years of intensive data operations experience working with Big Data and cloud platforms, including development and maintenance of production-grade data pipelines, data modelling for analytics (sales/customer KPIs), and implementation of governance and data quality processes. Experience with microservices/APIs and Azure preferred.

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

The Prada Group cultivates a creative, international and design-led workplace where craftsmanship and innovation intersect. Teams are diverse and collaborative, with an emphasis on professional growth, inclusion and the pursuit of excellence across digital and commercial functions.