Job Summary: We are seeking a candidate with experience in Data projects, specialized in Snowflake and DBT, to develop and implement data pipelines and analytical models. Key Highlights: 1. Experience in data technologies, with a focus on Snowflake and DBT. 2. Development and implementation of data pipelines and analytical models. 3. Design, development, and optimization of data models in Snowflake. - Devoteam is a leading European consultancy focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. Technology is in our DNA, and we believe in it as a lever capable of driving change for improvement, maintaining a balance that allows us to offer our client portfolio top-tier technological tools—always with the proximity and professionalism of a team acting as a guide throughout the journey. Devoteam has been committed to technology serving people for over 25 years. With more than 10,000 professionals across 20 countries in Europe, the Middle East, and Africa. We seek to hire a candidate with at least 3 years of experience in Data projects. Proven experience in Snowflake and DBT is required. The role may be fully remote (always from within Spain). An indefinite-term contract is offered. * **Required Experience:** Minimum 3–4 years in data technologies, with a focus on Snowflake and DBT. * **Primary Role:** Development and implementation of data pipelines and analytical models. * **Data Modeling and Transformation:** Design, develop, and optimize data models in Snowflake and build analytical models using DBT, applying best practices and reusable logic via macros. * **Pipeline Design:** Design, develop, and maintain complex ETLs (Extract, Transform, Load) and *Data Pipelines*. * **Optimization and Performance:** Advanced SQL, optimization of query performance in Snowflake, and data management to reduce costs in *cloud* environments. * **Architecture and Cloud:** Implement and enhance cloud-based data architectures and participate in technical decisions and definition of the data architecture. * **Data Quality:** Implement data tests and ensure data quality, often leveraging DBT’s *data testing* capabilities. * **Automation and Development:** Develop production-grade data processes using languages such as Python. * **DevOps and Best Practices:** Implement and improve version control (Git) and CI/CD best practices to automate the software development lifecycle for Snowflake. - CONFIDENTIAL