Data Engineer

Summary

Join Storyblok, a growing company, and contribute to impactful data initiatives as a Data Engineer. You will design, build, and maintain scalable data pipelines using Amazon Redshift and dbt. Collaborate with data scientists, product managers, and engineers to deliver high-quality data. This role requires strong SQL skills, experience with ETL/ELT workflows, and a solid understanding of data warehousing principles. The position offers a remote work opportunity, flexible schedules, and various benefits including a remote work stipend, home office equipment, paid time off, a personal development fund, and stock options.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

• Monthly remote work stipend (home internet costs, electricity)
• Home office equipment package right at the start (laptop, keyboard, monitor…)
• Home office equipment upgrade (furniture, ear plugs …) or membership to a local co-working space after your onboarding
• Sick leave benefit, parental leave and 25 days of annual leave plus your local national holidays
• Personal development fund for courses, books, conferences, and material
• VSOP (Virtual Stock Option Plan)
• The annual international team-building trip, quarterly and monthly online get-togethers
• As a fully remote company, with work-life balance at its core, you’ll enjoy flexible schedules