• 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

• Mentor junior team members and contribute to a culture of best practices in data engineering

Qualifications:

Required:

• 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 SQL skills and 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

• Strong collaboration and communication skills in cross-functional settings

• Ability to balance technical excellence with practical delivery in a fast-paced environment

Preferred:

• Experience in a SaaS or product-led growth environment

• Familiarity with orchestration tools like Airflow or Dagster

• Experience implementing CI/CD practices in data pipelines (e.g., GitHub Actions)

• Knowledge of data governance, access control, and security best practices

Company:

Storyblok is a content management system that specializes in the management of content experiences. Founded in 2017, headquartered in Linz, Oberosterreich, AUT, team size 201-500 employees, currently Growth Stage.