Data Engineer (Snowflake & DBT)

• 3–4 years of experience in Data Engineering.
• Experience working in Cloud environments.
• Solid experience with Snowflake: schema design, tables, and data modeling.
• Proficiency in advanced SQL, including complex query optimization, CTEs, analytical functions, and procedures.
• Demonstrable experience with DBT: models, macros, tests, documentation, and lineage.
• Knowledge and experience in ELT processes.
• Experience designing dimensional models: Star Schema and Snowflake Schema.
• Experience working with Git and CI/CD pipelines.
• Experience in Agile methodologies.
• Minimum B2 English.
• Availability to work in a hybrid modality in Madrid, with 2 days on-site.

• Knowledge or experience with Python.

🎓 Qualification: Technical Engineering degree or equivalent

🌍 English: Minimum B2

At Krell Consulting, we are looking to hire a Data Engineer specialized in Snowflake and DBT to participate in a long-term project within the Industry sector.

We are looking for a middle profile with 3–4 years of experience in Data Engineering and Cloud environments, with solid knowledge in data solutions based on Snowflake and DBT, and a strong orientation toward analytical modeling and efficient data transformation.

• Design and development of data solutions on Snowflake.
• Schema design, table creation, and data modeling.
• Development and optimization of queries using advanced SQL.
• Creation of data transformations using DBT.
• Development of models, macros, tests, and documentation in DBT.
• Management of data lineage and application of ELT best practices.
• Design of dimensional models, including Star Schema and Snowflake Schema, oriented toward analytics and reporting.
• Participation in Agile work environments.
• Use of Git for version control and participation in CI/CD pipelines.

📍 Location: Madrid

🏢 Modality: Hybrid – 2 days on-site

🏭 Sector: Industry

🧑‍💻 Experience: 3–4 years