Data Engineer (DBT, Snowflake & SQL)

Accountabilities:

• Design, develop, and optimize scalable data pipelines and cloud-based data architectures to support business intelligence and analytics initiatives.


• Build and maintain advanced SQL procedures and transformations within Snowflake environments to ensure efficient data processing and performance.


• Collaborate with cross-functional technical teams to support the delivery of reliable and high-quality data solutions for international stakeholders.


• Work with ETL processes and tools, including supporting integrations and orchestration activities related to data workflows.


• Contribute to the migration, transformation, and management of large datasets while ensuring data integrity and consistency.


• Support the continuous improvement of data engineering practices, automation processes, and system performance optimization.


• Participate in troubleshooting, debugging, and resolving technical issues across data platforms and infrastructure.


• Communicate effectively with remote international teams and contribute proactively within Agile development environments.

Requirements

• 3 to 5 years of professional experience in Data Engineering or related technical roles.


• Strong hands-on experience with Snowflake and advanced SQL development, including the creation of SQL procedures.


• Solid understanding of ETL concepts and experience working with modern data transformation workflows.


• Familiarity with Matillion or similar ETL tools is considered a strong advantage.


• Experience working with AWS services, particularly S3 storage, is a plus.


• Strong knowledge of relational databases, data modeling, and cloud-based data architectures.


• Ability to work independently in fully remote and international environments while collaborating effectively with distributed teams.


• Excellent analytical, problem-solving, and debugging skills with strong attention to detail.


• Fluent English communication skills, both written and verbal, are required.


• Experience with Agile methodologies, Git, CI/CD processes, and collaborative development practices is highly desirable.

• Fully remote position within Europe with flexible working arrangements


• Opportunity to work with international clients and multicultural teams


• Exposure to modern cloud technologies and advanced data engineering environments


• Flexible work schedules focused on results and productivity


• Access to cutting-edge technologies and innovation-driven projects


• Long-term project opportunities and professional stability


• Collaborative and experienced consulting environment with strong technical expertise


• Opportunities for professional development and continuous learning


• Possibility to work from multiple locations across Europe

Cette annonce provient de ats_lever. Voir l'annonce originale ↗