Data Engineer

Description

Job Summary: We are looking for a Data Engineer to join a dynamic team, implementing data pipelines autonomously and contributing to scalable solutions. Key Highlights: 1. Autonomous implementation of data pipelines 2. Development and maintenance of scalable data solutions 3. Integration into a dynamic team with a focus on innovation 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. Focused 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 seeking a **Data Engineer** with a strong sense of responsibility, capable of autonomously implementing data pipelines, and possessing a solid foundation in core data engineering concepts. This professional will join a dynamic team, contributing to the development and maintenance of scalable and efficient data solutions. **Requirements:** * 3+ years of experience in data engineering * Experience with **cloud-native** solutions and data architecture * Experience with Microsoft tools such as **Microsoft Fabric**, **Azure Data Factory**, and **Synapse** (or equivalents) * Experience in **cloud** platforms (Azure, AWS, or Google Cloud) * Strong programming skills: **SQL, Python, Spark**, or similar languages * Solid understanding of **ETL/ELT**, data architecture, and technical design principles * Experience with **Git** and code review processes * Ability to troubleshoot and optimize processes * Experience with **DevOps**/**DataOps** practices — preferred * Knowledge of pipeline automation and monitoring — preferred * Minimum **B2 level English** proficiency. Work location: Hybrid remote work in Lisbon