Job
- Level
- Senior
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du robuste analytische Datenmodelle in Google BigQuery und baust automatisierte Datenvalidierungsframeworks, um die Reporting-Qualität für Retail Media-Partner zu gewährleisten und das Wachstum zu fördern.
Job Technologien
Deine Rolle im Team
- The Brand Analytics team is the insights engine: its mission is to empower data-driven decision-making for Retail Media Partners by providing a single source of truth.
- This creates a powerful opportunity for brands to gain deep performance visibility and turn enterprise-scale data into actionable growth strategies.
- While operating within an existing ecosystem, the architectural transition from a single monolith into four specialized product teams provides a highly autonomous, greenfield-like environment where your decisions will directly shape our future state and enable us to multiply our Retail Media revenue.
- Design, build, and maintain production-grade analytical data transformations and metrics definitions within Google BigQuery to enable robust performance and budget reporting for our bidding marketplaces.
- Establish rigorous, automated data validation frameworks and schema checks to shield public-facing reporting dashboards and analytical tables from upstream variance or structural drift.
- Lead the migration of complex analytical transformation rules and data aggregation queries directly out of historical legacy application repositories into modular, decoupled analytics environments.
- Partner with Data Engineers to engineer clean data modeling boundaries around shared catalog assets (such as products and brands) that connect the decentralized product stack with core platform endpoints.
- Set analytics engineering standards, direct code-reuse conventions, and establish reusable data blueprints within the team.
Unsere Erwartungen an dich
Qualifikationen
- Expert in designing modular and performance-optimized analytical data models, and building scalable incremental transformations.
- Practical working familiarity with modern workflow orchestrators like Dagster to synchronize data assets and event-driven pipeline schedules.
- Proficiency with Git version control, structured code review flows, and automated deployment infrastructure like GitLab CI/CD pipelines.
- A structural developer who excels at transforming loose business descriptions into highly structured, reliable, and standardized metrics environments.
- Able to cleanly convey complex database schemas, transformation choices, and analytical definitions to software developers.
- Highly driven to establish data blueprints within a technical greenfield context.
Erfahrung
- Advanced SQL mastery and extensive native experience within cloud-based big data platforms (e.g. Google BigQuery).
- Extensive experience writing declarative data checks, regression validation assertions, and data quality tests to enforce strict metric definition compliance.
Unser Angebot
- Your perks at a glance: Visit our benefits page.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
About You
ABOUT YOU ist ein schnell wachsender Online-Modehändler in Europa mit mehreren Auszeichnungen. Als Modefirma und Technologieunternehmen arbeiten wir gemeinsam auf unserem Weg, das Einkaufserlebnis für unsere Kunden inspirierender und persönlicher zu gestalten.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Handel, Internet, IT, Telekom
Arbeitgeber-Reviews
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Workingconditions
4.0Career Growth
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Senior Analytics Engineer - Brand Analytics
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
