Remote Data Engineer: DBT & ETL/ELT Pipelines

TheWhiteam; Bilbao; On-site; EUR 65,000 - 100,000; Part time

Job summary

TheWhiteam is seeking two Data Engineers with strong dbt and database expertise to design, develop, and maintain robust ETL/ELT pipelines and data modeling solutions. The role emphasizes independent work, priority management, and collaboration with business and technical teams to deliver high-quality data solutions, with Power BI as a valuable visualization tool.

Ideal candidates have 5–7 years of Data Engineering experience, engineering degrees, and English proficiency (C1).

Qualifications

• 5-7 years of Data Engineering experience.
• Proficient with dbt and data pipelines.
• Excellent data modeling and database environment knowledge.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and manage priorities.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Build and manage data transformation and modeling processes using dbt.
• Ensure data reliability, consistency, and quality across databases.
• Optimize data workflows for performance and scalability.
• Troubleshoot data issues and pipeline failures.
• Collaborate with stakeholders to deliver high-quality data solutions.
• Support data integration activities and ongoing platform operations.
• Contribute to data engineering best practices and standards.
• Manage multiple priorities and deliver within deadlines.
• Work independently and proactively address data challenges.

Skills

dbt

ETL/ELT pipelines

Data modeling

Data engineering

Analytical thinking

Communication

Education

Engineering degree

Tools

Power BI

Job description

TheWhiteam is seeking two Data Engineers with strong dbt and database expertise to design, develop, and maintain robust ETL/ELT pipelines and data modeling solutions. The role emphasizes independent work, priority management, and collaboration with business and technical teams to deliver high-quality data solutions, with Power BI as a valuable visualization tool.

Ideal candidates have 5–7 years of Data Engineering experience, engineering degrees, and English proficiency (C1).