Storyblok is looking for a Data Engineer to build, maintain, and optimize scalable data pipelines that serve as the backbone for analytics, reporting, and data-driven decision-making across the organization, with a focus on Amazon Redshift and dbt.
Requirements
- Strong SQL skills
- Experience with scripting languages (Python, Bash, JS/TS)
- Proven experience working with Amazon Redshift as a primary data warehouse
- Hands-on experience with dbt, including model design, testing, and documentation
- Solid understanding of data warehousing principles, including ETL/ELT workflows and dimensional modeling
- Experience with cloud-based infrastructure, preferably AWS
- Experience implementing CI/CD practices in data pipelines (e.g., GitHub Actions)
Responsibilities
- Design, build, and maintain reliable, scalable data pipelines for ingestion, transformation, and loading (ETL/ELT)
- Develop and optimize data models in Amazon Redshift, aligned with analytical and operational use cases
- Build and maintain dbt models to enable modular, testable, and well-documented transformations
- Implement robust data quality checks and monitoring to ensure high data integrity
- Work cross-functionally to understand data needs and deliver relevant, well-structured datasets
- Continuously refine and improve performance, cost-efficiency, and scalability of data workflows
- Document pipeline architecture, business logic, and data lineage
Other
- Bachelor’s degree in Computer Science, Information Systems, or related field—or equivalent professional experience
- 3+ years of experience in data engineering or a closely related field
- Strong collaboration and communication skills in cross-functional settings
- Ability to balance technical excellence with practical delivery in a fast-paced environment
- Remote (home) work opportunity or funded by Storyblok co-working space
