




Job Summary: We are seeking Data Engineering professionals to join projects focused on developing modern, scalable, and cloud-native data platforms. Key Highlights: 1. Development of modern and scalable data platforms 2. Building robust, business-oriented data solutions 3. Collaborating with cross-functional teams At Sourcing Trust, we are committed to delivering innovative, reliable, and customized technology solutions that empower businesses to thrive in a rapidly evolving digital landscape. With a focus on excellence, integrity, and collaboration, we build lasting partnerships by understanding the unique needs of each client and providing specialized support across all phases. Our team is dedicated to fostering a positive and inclusive work environment where every employee’s contribution is valued, encouraging continuous growth, learning, and shared success. Join us and become part of an organization driven by passion, innovation, and excellence. **About the role:** We are looking for **Data Engineering** professionals to join projects focused on developing modern, scalable, and cloud-native data platforms. We seek candidates capable of contributing to building robust, efficient, and business-oriented data solutions. Responsibilities include developing and optimizing data pipelines, data modeling and architecture, implementing scalable analytical solutions, and closely collaborating with cross-functional teams. **Requirements:** * Experience with **Microsoft data engineering technologies**: Microsoft Fabric, Azure Data Factory, Synapse Analytics; * **Experience in cloud environments (Azure, AWS, or Google Cloud);** * Solid knowledge of **ETL/ELT**, **data architecture**, and **modeling**; * **Experience with data warehouses and data lakes;** * Strong proficiency in **SQL**, **Python**, and/or **Spark**; * **Knowledge of relational and/or NoSQL databases;** * Experience with **Git** and version control practices; * **Knowledge of DevOps/DataOps and CI/CD pipelines (preferred);** * Ability to **troubleshoot and optimize data workflows**; * **English – minimum B2\.** Work location: Hybrid remote work in Lisbon


