ABOUT YOU
Senior Analytics Engineer - Supply Data Solutions (m/w/x)
Vollzeitmit HomeofficeSenior
Hamburg
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ABABOUT YOU
Senior Analytics Engineer - Brand Analytics (m/w/x)
Vollzeitmit HomeofficeSenior
Data Science
Nejo KI-Zusammenfassung
Building production-grade analytical data transformations and metrics in Google BigQuery for a fashion e-commerce platform. Advanced SQL mastery and cloud big data platform experience required. Daily stand-ups, code reviews, and data blueprint development.
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Anforderungen
- Design of modular, performance-optimized analytical data models
- Building scalable incremental transformations
- Advanced SQL mastery
- Extensive native experience in cloud-based big data platforms
- Working familiarity with modern workflow orchestrators (e.g., Dagster)
- Synchronizing data assets with event-driven pipeline schedules
- Writing declarative data checks
- Writing regression validation assertions
- Writing data quality tests for metric definition compliance
- Proficiency with Git version control
- Structured code review flows
- Automated deployment infrastructure (e.g., GitLab CI/CD)
- Transforming business descriptions into structured metrics environments
- Creating reliable and standardized metrics environments
- Conveying complex database schemas to software developers
- Conveying transformation choices to software developers
- Conveying analytical definitions to software developers
- Establishing data blueprints in a technical greenfield context
- Hands-on experience with dbt (Data Build Tool)
- Managing version-controlled analytical modeling codebases with dbt
- Managing validation schemas with dbt
- Managing deployment workflows with dbt
- Prior experience in eCommerce, retail tech, or ad-tech ecosystem
- Solid understanding of web analytics tracking
- Solid understanding of funnel parameters
- Solid understanding of ad performance metrics
Aufgaben
- Design, build, and maintain production-grade analytical data transformations and metrics definitions in Google BigQuery
- Establish rigorous, automated data validation frameworks and schema checks
- Lead the migration of complex analytical transformation rules and data aggregation queries out of legacy applications
- Partner with Data Engineers to engineer clean data modeling boundaries around shared catalog assets
- Set analytics engineering standards, direct code-reuse conventions, and establish reusable data blueprints
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
SQLGoogle BigQueryDagsterGitGitLab CI/CDdbt
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AB
RetailHamburg
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
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