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Founded in 1913 in Italy, the Prada Group was built on a tradition of excellence and with a vision of innovation. The Group, a world leader in the luxury sector, operates in more than 45 countries with the PRADA, Miu Miu, Versace, Church’s, Car Shoe and Luna Rossa brands, and has employees of over 100 nationalities. JOB PURPOSE We are looking for a Data Engineer to join our global Cloud Data Platform team, based in Milan. The ideal candidate will play a key role in managing data operations, with main activities ranging from analysis, modeling and development, with a strong focus on sales, customer, and marketing data. RESPONSIBILITIES Gain a deep understanding of business and technical needs to support model evolution and drive digital transformation. A particular focus will be on customer intelligence data and sales KPIs. Design, maintain, and enhance key datasets to ensure they are high-quality, certified, and easily accessible/integrable by enterprise users, components, and systems. Analyze and develop data operations and pipelines in line with enterprise guidelines and best practices (e.g., data quality processes, governance, and deep catalog/glossary curation). Work collaboratively with business stakeholders and end users to build scalable and agile solutions. Develop, deploy, and manage highly efficient and automated data pipelines using cloud-based technologies and platform capabilities (e.g., Azure, Databricks, Unity Catalog, Git based CI/CD). Continuously adapt to evolving requirements by maintaining and improving existing data pipelines, integrating new features and change requests using an agile approach. KNOWLEDGE AND SKILLS Bachelor or Master's degree in Software Engineering, Computer Science, Mathematics or related STEM discipline 3+ years experience in intensive data ops. in the context of Big Data and cloud infrastructures / platforms Strong experience in analytics in the context of retail industry, with a particular focus on modeling and leveraging sales and customer KPIs. Strong background in Big Data approaches and DBMS/Data Warehouse modeling, optimization, and management. Deep knowledge of SQL and Spark-related programming languages is a must. Extensive expertise in data preparation, integration, modeling, and governance processes. Proven experience in designing and managing end-to-end production ready solutions. Experience in developing microservices and APIs solutions (e.g., REST, OAuth). Proficiency in configuring and utilizing cloud infrastructures and platforms, with a strong preference for Microsoft Azure services. Familiarity with stream-processing systems and lambda architectures, Delta Live Tables, Azure Event Hubs, Spark Streaming, etc. Fluent in Italian and in English written and spoken A good knowledge of retail and/or customer related processes and back end operational systems will be considered a plus #LI-GC2 Joining our Company means working in a creative and international environment, with teams of people motivated by curiosity and the quest for excellence. The engine of our success is the importance and value that we place on the talent and passion of our people leading to their own professional growth. Prada Group promotes an inclusive work environment, ensuring equal opportunities for all candidates, regardless of gender, ethnicity, sexual orientation, disability, or other personal characteristics. We believe that diversity is a value and we are committed to build a fair and respectful workplace for all.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.