




Job Summary: We are looking for a Data Engineer passionate about data engineering to design, develop, and maintain data integration, automation, and database optimization processes in complex environments. Key Highlights: 1. Participation in stable projects with a high technical component. 2. Personalized career plan and continuous training. 3. Flexible working modality. **We are seeking: Data Engineer (Informatica Cloud, Control\-M and T\-SQL)** If you are passionate about data engineering and want to work in complex environments handling large volumes of information, we are hiring a **Data Engineer** with experience in cloud integration, automation, and advanced database optimization. Key Responsibilities: * Design, develop, and maintain data integration processes in cloud environments using Data Integration tools. * Execute and monitor workflows and automations using Control\-M. * Develop and optimize advanced T\-SQL queries to ensure data quality, availability, and integrity. * Participate in resolving technical incidents by proposing efficient solutions in complex, high-volume information environments. * Collaborate with multidisciplinary teams to ensure proper implementation of business requirements. * Document processes, workflows, and technical solutions within the BI ecosystem. ✅ Requirements Mandatory: * Over 4 years of experience in Business Intelligence projects. * Proven experience with Cloud Data Integration tools. * Solid proficiency in Control\-M for orchestration and automation. * Advanced proficiency in T\-SQL. * Demonstrated ability to operate effectively in complex environments and strong problem-solving skills. * University degree in Engineering, Computer Science, Systems, or related field. Desirable: * Experience with cloud ecosystems (AWS, Azure, or GCP). * Knowledge of data modeling and BI solution architecture. * Certifications related to data, cloud, or integration. * Intermediate or higher level of English. We Offer: * Permanent contract with competitive salary. * Flexible working modality and possibility of remote work. * Personalized career plan and continuous training (certifications, English, etc.). * Participation in stable projects with a high technical component. * Flexible working hours and focus on work-life balance.


