Data Engineer

Description

Job Summary: We are seeking a professional to design, develop, and enhance data architecture, build and maintain data pipelines to ensure data quality and availability, and optimize data access. Key Responsibilities: 1. Design and improvement of data architecture and ETL/ELT pipelines. 2. Optimization of data access and performance for business needs. 3. Evaluation and adoption of emerging technologies such as cloud and big data. The ideal candidate will design, develop, and enhance data architecture, including integration, storage, and processing solutions. Key responsibilities include building and maintaining data pipelines (ETL/ELT), integrating data from diverse sources to ensure traceability and consistency. Ensuring data quality, availability, security, and regulatory compliance in accordance with current legislation is also required. The role involves optimizing data access and performance so that analysts and other business units can easily leverage the data, while also collaborating on data modeling. Emerging technologies—including cloud, big data, and artificial intelligence—will be evaluated and adopted to drive continuous improvement. Coordination with internal teams and vendors is necessary to ensure smooth integrations and data flows, and to resolve any incidents that arise. Working hours: Monday to Thursday, 08:00–17:15; Fridays, Easter Week, summer, and Christmas holidays: 08:00–14:30, with flexibility in start and end times. Full-time position with an indefinite-term contract. **Professional Experience:** 3–5 years of experience **Education:** – University degree in Computer Engineering, Telecommunications Engineering, Data Engineering, Mathematics, Statistics, or related fields. – Ability to work cross-functionally with technical and business areas. – Design and development of data architectures and ETL/ELT processes: SQL, Analysis Services, Reporting Services, Integration Services; Data platforms: Microsoft Fabric, data modeling.