Senior Data Engineer
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Job Description
Senior Data Engineer at Arsipa developing scalable data platforms and ETL/ELT pipelines. Collaboration with teams to ensure data quality, performance, and innovation in data architecture.
Responsibilities:
- Aufbau, Betrieb und Weiterentwicklung einer skalierbaren Datenplattform (Warehouse / Lake / Lakehouse)
- Entwicklung und Wartung robuster ETL/ELT-Pipelines zur Integration unterschiedlichster Datenquellen
- Sicherstellung von Datenqualität, Performance, Skalierbarkeit und Kostenoptimierung
- Implementierung von Monitoring-, Governance- und Sicherheitskonzepten (inkl. DSGVO)
- Enge Zusammenarbeit mit Analytics-, Product- und Engineering-Teams
- Automatisierung von Datenprozessen sowie kontinuierliche Verbesserung bestehender Architekturen
- Aktive Mitgestaltung der Datenstrategie und Evaluation neuer Technologien
Requirements:
- Mehrjährige Erfahrung im Data Engineering oder in einer vergleichbaren Rolle
- Sehr gute Programmierkenntnisse in Python und SQL sowie saubere Engineering-Standards (Tests, CI/CD)
- Fundiertes Verständnis moderner Datenarchitekturen und Datenmodellierung
- Praxiserfahrung mit Cloud-Plattformen (AWS, GCP oder Azure) und gängigen Data-Tools (z. B. Airflow, dbt, Spark, Snowflake)
- Hohes Qualitäts- und Ownership-Mindset für produktive Datenpipelines
- Fähigkeit, technische Lösungen verständlich zu kommunizieren und Business-Anforderungen zu übersetzen
- Teamplayer mit Interesse an Mentoring und kontinuierlicher Weiterentwicklung
- Verhandlungssichere Englischkenntnisse (erforderlich); Deutschkenntnisse sind ein Plus
Benefits:
- Attraktive, marktgerechte Vergütung
- Flexibles Arbeitsmodell: Remote-first mit optionaler Präsenz im Büro
- 30 Urlaubstage
- Strukturiertes Onboarding mit persönlicher Begleitung durch das Recruiting-Team
- Transparente Kommunikation durch wöchentliche 1:1s und regelmäßige All-Hands-Meetings
- Zugang zu Corporate Benefits
- Langfristige Perspektive in einer wachsenden Unternehmensgruppe
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