Data Engineer SNOWFLAKE & DBT

Description

Job Summary: We are seeking a data expert with experience in Snowflake and DBT for cloud-based data development, optimization, and architecture. Key Highlights: 1. European leader in digital strategy and technological transformation. 2. Focus on technology as a lever for change and continuous improvement. 3. Participation in technical decisions and definition of data architecture. - 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 to improve—maintaining a balance that allows us to offer our client portfolio top-tier technological tools, while always preserving the proximity and professionalism of a team acting as a guide along the way. Devoteam has been committed for over 25 years to technology serving people. With more than 10\.000 professionals across the group, operating in 20 countries across Europe, the Middle East, and Africa. We are looking to hire a candidate with at least 3 years of experience in Data projects. Proven experience in Snowflake and DBT is required. Remote work is possible (must be based in Spain). An indefinite-term contract is offered. * **Required Experience:** Minimum 3\-4 years in data technologies, with 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 with macros. * **Pipeline Design:** Design, develop, and maintain complex ETLs (Extract, Transform, Load) and *Data Pipelines*. * **Optimization and Performance:** Advanced SQL, optimizing query performance in Snowflake, and managing data to reduce costs in *cloud* environments. * **Architecture and Cloud:** Implement and enhance cloud-based data architectures and participate in technical decisions and definition of data architecture. * **Data Quality:** Implement tests and ensure data quality, often leveraging DBT’s *data testing* capabilities. * **Automation and Development:** Develop data processes in languages such as Python for production environments. * **DevOps and Best Practices:** Implement and improve version control (Git) and CI/CD best practices to automate the software development lifecycle for Snowflake. - CONFIDENTIAL