Start Date
Immediate
Expiry Date
10 Oct, 25
Salary
0.0
Posted On
11 Jul, 25
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Testing, Documentation, Computer Science, Dimensional Modeling, Dbt, Amazon Redshift, Data Engineering, Model Design, Data Warehouse, Information Systems, Scripting Languages, Communication Skills
Industry
Information Technology/IT
Product · Remote · Europe
Storyblok is the enterprise-ready headless CMS that empowers developers and marketers to bring ideas to market faster. It supports the entire content lifecycle—from creation and management to delivery—streamlining workflows, boosting productivity, and ensuring exceptional performance and accessibility. Storyblok frees you from the pain of legacy CMS platforms and empowers your teams to ship content quickly and build with complete flexibility.
Designed for global scalability and secure collaboration, Storyblok enables teams to deliver seamless, engaging digital experiences at scale. Trusted by leading brands like Oatly, Virgin Media O2, Deliveroo, Renault, and Education First, Storyblok helps businesses of all sizes unlock new opportunities, channels, and markets—delivering a bigger, faster market impact.
JOB SUMMARY
Are you passionate about building data infrastructure that drives results? Do you thrive in a fast-paced environment where you can learn and grow? If so, this is the perfect opportunity for you!
EDUCATION AND EXPERIENCE
MENTAL, PHYSICAL AND ENVIRONMENTAL REQUIREMENTS
Remote (home) work opportunity or funded by Storyblok co-working space
We’re looking for a skilled and proactive Data Engineer to join our growing team. In this role, you’ll be responsible for building, maintaining, and optimizing scalable data pipelines that serve as the backbone for analytics, reporting, and data-driven decision-making across the organization. You’ll play a critical part in shaping our data infrastructure, with a particular focus on Amazon Redshift and dbt as core technologies in our modern data stack.
You’ll work closely with data scientists, product managers, analysts, and engineers to deliver clean, trusted, and well-documented data. This is an opportunity to work on high-impact data initiatives in a fast-moving environment where technical excellence and pragmatic problem-solving are highly valued.