Data Engineer SNOWFLAKE & DBT

Description

Job Summary: We are seeking a candidate with experience in Data projects, focused on Snowflake and DBT, to develop and implement data pipelines and analytical models. Key Highlights: 1. Key role in developing and implementing data pipelines and analytical models. 2. Design, development, and optimization of data models in Snowflake and DBT. 3. Implementation and enhancement of cloud-based data architectures. **Company Description** 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 it is a lever capable of driving change for improvement while maintaining a balance that enables us to offer our clients 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 over 10,000 professionals across 20 countries in Europe, the Middle East, and Africa. **Job Description** We seek 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 (always from within Spain). An indefinite-term contract is offered. **Requirements** * **Required Experience:** Minimum 3–4 years in data technologies, with focus on Snowflake and DBT. * **Key Role:** Development and implementation of data pipelines and analytical models. * **Data Modeling and Transformation:** Design, develop, and optimize data models in Snowflake; 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; optimize query performance in Snowflake; manage data to reduce costs in *cloud* environments. * **Architecture and Cloud:** Implement and enhance cloud-based data architectures; 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. **Additional Information** CONFIDENTIAL