At Dermofarm we are looking for a Data Engineer with experience in the Microsoft tools stack (Azure / Fabric) who will play a key role in our data-driven transformation. This role will be technically responsible for our data platform: in charge of its architecture, operation, evolution, and continuous improvement. **Role Description** As a Data Engineer, you will ensure that data becomes a strategic asset for Dermofarm, managed with standards of quality, security, governance, and scalability. You will design, build, and maintain ingestion and transformation pipelines, manage storage in our Data Lake and Data Warehouse, and develop analytical/semantic models. Additionally, you will be responsible for implementing processes for data cataloging, lineage, and data quality, ensuring regulatory compliance (GDPR, compliance), and facilitating the integration of diverse on-premise and cloud sources (SAP, Vincle, IQVIA, Google Analytics, Ads, Meta, TikTok, Amazon, Mailchimp, etc.). Your ultimate mission will be to bridge the technical world with the business's strategic and operational needs, enabling data usage for advanced analytics, business intelligence, and AI and machine learning initiatives, contributing to Dermofarm’s evolution into a data-driven organization. **Requirements** * +5 years of experience in data engineering within cloud environments. * Ability to integrate heterogeneous on-premise and cloud sources. * Proven experience with the Microsoft tools stack (Azure / Fabric): architecture, ingestion and transformation, storage, analytical and semantic models. * Proficiency in Python and advanced SQL. * Knowledge of Data Governance frameworks. * Experience in data catalogs and quality processes (catalogs, dictionaries, lineage, monitoring, reporting). **Desirable** * Certifications in Microsoft Fabric or Azure Data Engineer. * PySpark or equivalent. * Experience in applied AI, machine learning, and automation projects. * Familiarity with data visualization and self-service analytics tools (Power BI). * English language proficiency.