Join our team as a Data Engineer and help build modern data infrastructure that empowers self-service analytics at scale. You'll be working with a mature and growing community of data engineers to shape one of the most advanced data ecosystems in the industry.
Requirements
- design, build, and optimize scalable ETL/ELT pipelines for high-volume, fast-changing datasets
- apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models
- develop and maintain semantic layers and curated data marts to enable analytical self-service across the company
- orchestrate reliable workflows with modern tooling such as Apache Airflow
- enforce data quality, lineage, and observability practices to ensure confidence in our data products
- partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value
- raise the engineering bar through code reviews, testing, automation, and architectural improvements
Benefits
- opportunity to work with a mature and growing community of data engineers
- chance to shape one of the most advanced data ecosystems in the industry
- hybrid work arrangement based in Zagreb