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Job Summary: We are seeking a Cloud Data Engineer with a passion for data to design, build, and implement analytical data models and manage projects. Key Highlights: 1. Design and construction of analytical data models 2. Effective project and resource management 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, managing resources and tasks effectively. Your initiative will be essential in identifying risks, proposing mitigation plans, and tracking their evolution. Regular communication and progress reporting to direct supervisors will be part of your responsibilities. A strong technical background is preferred, ideally in Computer Engineering, Mathematics, or Physics, along with 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. We seek someone with strong communication skills to interact with senior-level users and experience in requirements gathering and functional definition. Additional experience in environments such as Azure, Databricks, Snowflake, and Fabric, as well as familiarity with tools like QlikView or PowerCenter, will be valued. A B2 level of English is required. We offer an indefinite-term contract, continuous training, and the opportunity for professional growth within a company that promotes equality and work-life balance. Technical university degree (Computer Engineering, Mathematics, or Physics). At least 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 gathering and functional definition. English B2\.
