Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Düsseldorf
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du robuste Datenprodukte auf der Snowflake Lakehouse Plattform, modellierst Daten nach Data Vault und Kimball, und pflegst API-Connectors mit Python und DLT, um durchgängige Datenqualitätsstandards sicherzustellen.
Job Technologien
Deine Rolle im Team
- Robust data products are developed and operated by you on our central Snowflake Lakehouse platform using DBT.
- Along our layer architecture, you model data and implement technically sound models based on DataVault and Kimball principles.
- Ingestion connectors are built and maintained by you using Python and DLT, including their orchestration in Prefect.
- Across the entire data lifecycle, you ensure data quality and actively contribute to the further development of our quality standards.
- CI/CD and GitOps processes with Azure Pipelines are shaped by you - including automated testing and clean release processes.
- Security and governance requirements are implemented technically by you, for example RBAC, Dynamic Data Masking, anonymisation, and role-based access concepts in Snowflake.
- In close collaboration with Data Analysts, Analytics Engineers, platform teams, and business units, you actively drive technical standards forward.
Unsere Erwartungen an dich
Qualifikationen
- Python skills are applied by you purposefully for data integration, automation, and orchestration.
- Data modelling based on Kimball and DataVault is familiar territory for you - you understand the principles and can apply them in context.
- Version-based workflows - Git, pull requests, code reviews, and trunk-based development or comparable approaches - are a natural part of your professional day-to-day.
- Technical standards are something you develop collaboratively within the team, contributing in a structured and solution-oriented way.
- Fluent communication in both German and English - in writing and verbally - rounds off your profile.
Erfahrung
- Solid experience in Data Engineering is part of your background, ideally within a modern cloud stack and in the context of agile data warehouse development.
- Strong SQL skills and hands-on experience with DBT in production environments are a defining part of your technical profile.
- Experience with Snowflake, Prefect or comparable orchestration tools, as well as CI/CD processes, is part of your practical toolkit.
Benefits
Gesundheit, Fitness & Fun
Essen & Trinken
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Douglas
Douglas ist ein führender Einzelhändler in der europäischen Beauty-Branche. Mit mehr als 2.400 Parfümerien an erstklassigen Standorten in insgesamt 26 Ländern Europas verfügt Douglas über eine starke Marktposition.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Handel
Arbeitgeber-Reviews
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Gesamt
(1 Bewertung)1.8
Culture
2.0Engineering
2.0Workingconditions
2.3Career Growth
1.2
Senior Data Engineer
- Ort
- Düsseldorf
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
