Data Engineer

Description

Job Summary: We are seeking Data Engineering professionals to join projects focused on developing modern, scalable, and cloud-native data platforms, contributing to robust and efficient solutions. Key Highlights: 1. Data pipeline development and optimization 2. Data modeling and architecture 3. Implementation of scalable analytical solutions 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 a passionate organization driven by 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. The responsibilities include data pipeline development and optimization, data modeling and architecture, implementation of scalable analytical solutions, and close collaboration with cross-functional teams. **Requirements:** * Experience with **Microsoft data engineering technologies**: Microsoft Fabric, Azure Data Factory, Synapse Analytics; * **Cloud environment experience (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; * **DevOps/DataOps and CI/CD pipeline knowledge (preferred);** * Ability to **troubleshoot and optimize data workflows**; * **English – minimum B2.** Work location: Hybrid remote work in Lisbon