Data Engineer

PRADA; Milano; In loco; EUR 45.000 - 80.000; Tempo pieno

Descrizione del lavoro

An established industry player is seeking a skilled Data Engineer to join their innovative Cloud Data Platform team in Milan. This role offers an exciting opportunity to manage data operations, focusing on sales and customer data. The successful candidate will design and enhance data pipelines, ensuring high-quality datasets for enterprise users. With a collaborative work environment, you will engage with business stakeholders to drive digital transformation and model evolution. If you're passionate about data and eager to contribute to a dynamic team, this position is perfect for you.

Competenze

• 3+ years of experience in data operations within Big Data and cloud platforms.
• Strong background in SQL and Spark for data modeling and management.

Mansioni

• Design and manage data pipelines for customer intelligence and sales KPIs.
• Collaborate with stakeholders to build scalable data solutions.

Conoscenze

Data Operations

SQL

Spark

Data Modeling

Cloud Technologies

Analytics

APIs Development

Data Governance

Formazione

Bachelor in Software Engineering

Master in Computer Science

Strumenti

Azure

Databricks

Git

Descrizione del lavoro

Founded in 1913 in Italy, the Prada Group was built on a tradition of excellence and with a vision of innovation. Our Iconic Brands include PRADA, Miu Miu, Church’s, Car Shoe and Pasticceria Marchesi and we are currently operating in more than 45 Countries, embracing employees of more than 100 nationalities.

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.

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