Job Summary: We are seeking a Cloud Data Engineer passionate about data to design, build, and implement analytical data models and manage projects. Key Highlights: 1. Design and construction of analytical data models. 2. Effective management of resources and tasks in projects. 3. Opportunity for professional growth and continuous training. We require a professional passionate about data to join our team as a Cloud Data Engineer. Your role will be pivotal in designing, building, and implementing analytical data models and their ingestion processes. You will be responsible for ensuring projects adhere to defined scope, timeline, and budget, while effectively managing resources and tasks. Your initiative will be essential in identifying risks, proposing mitigation plans, and tracking their evolution. Consistent communication and progress reporting to direct supervisors will form part of your responsibilities. A strong technical background is preferred—ideally in Computer Engineering, Mathematics, or Physics—and at least three years of experience in similar roles. It is essential that you have experience designing, developing, and maintaining analytical models, as well as proficiency in SQL and Python. Familiarity with data integration tools such as Azure Data Factory and data visualization applications such as Power BI will be considered favorably. We seek someone with strong communication skills to interact with senior-level users and experience in requirements gathering and functional specifications. Additional experience in environments such as Azure, Databricks, Snowflake, and Fabric, as well as familiarity with tools such as QlikView or PowerCenter, will be valued. B2 level English proficiency is required. A permanent contract, continuous training, and opportunities for professional growth within an organization promoting equality and work-life balance are offered. Technical university degree (Computer Engineering, Mathematics, or Physics). Minimum 3 years of experience in designing, developing, and maintaining analytical models. Experience with SQL and Python. Experience with data integration tools (Azure Data Factory). Experience with data visualization applications (Power BI). Strong ability to communicate with senior-level users. Experience in requirements elicitation and functional specifications. English B2\.