Senior Cloud Data Engineer (Looker & Semantic Layer Architecture) | Experienced Cloud Data Engineer Looker & Semantic Layer Architecture - Data Platform (m/f/d)
Media-Saturn Deutschland GmbH
Job Summary
As a Senior Cloud Data Engineer, you will play a pivotal role in shaping the data platform for Europe's leading consumer electronics retailer. Your daily responsibilities will center on the development and maintenance of a scalable Hub-and-Spoke architecture using LookML, ensuring a 'Single Source of Truth' across the organization. You will design intuitive Explore environments for self-service analytics, implement advanced data modeling features like Liquid parameters and Persistent Derived Tables (PDTs), and provide architectural guidance for Google BigQuery structures. This role is highly collaborative, requiring you to align with Data Engineering teams and mentor BI analysts on coding standards and version control. This position is particularly attractive for professionals seeking to work in a large-scale, international agile environment where they can own the semantic layer strategy and drive the adoption of sophisticated BI standards across 11 countries.
Required Skills
Education
Degree in Computer Science, Business Informatics, or extensive equivalent professional experience.
Experience
- Several years of professional experience in software engineering, data analytics, or business intelligence
- Deep specialization in Looker (LookML) and Google BigQuery
- Proven experience in designing Hub-and-Spoke architectures including project imports and refinements
- Extensive experience in SQL optimization for performance and cost-efficiency
- Professional experience working in cross-functional, agile teams
Languages
Additional
- The role supports mobile work and requires the ability to communicate complex technical architectures to non-technical business stakeholders.
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