onsite
Data Engineer - DBT F/H
Data Engineer
Data Engineer focused on building and maintaining robust data pipelines using DBT, CI/CD practices, and modern data‑lake architectures to deliver reliable, transformed data for analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain DBT models to transform raw data into clean, analytics‑ready datasets.
- Implement CI/CD pipelines for automated testing, deployment, and version control of data assets.
- Collaborate with data scientists and analysts to understand data requirements and ensure model scalability.
- Manage and optimize data lake storage, ensuring data quality, governance, and security.
- Monitor pipeline performance, troubleshoot issues, and continuously improve data processing efficiency.
Requirements
- Strong experience with DBT and SQL for data modeling and transformation.
- Proficiency in CI/CD tools (e.g., Git, GitHub Actions, Jenkins, Azure DevOps).
- Hands‑on experience with data lake technologies (e.g., AWS S3, Azure Data Lake, GCP Cloud Storage).
- Solid understanding of data warehousing concepts and ETL/ELT best practices.
- Ability to work in an agile environment and communicate technical concepts to non‑technical stakeholders.