Senior Data Engineer
vor 1 Monat
Wir suchen einen erfahrenen Data Engineer, der unsere cloudbasierte Datenplattform für Business Intelligence, Digital Analytics, Marketing Controlling und Data Science betreiben und kontinuierlich weiterentwickeln kann.
Verantwortlichkeiten- Die cloudbasierte Datenplattform für Business Intelligence, Digital Analytics, Marketing Controlling und Data Science betreiben und kontinuierlich weiterentwickeln
- Neue Datenquellen an das Data Warehouse anbinden, die Qualitätssicherung der importierten Daten übernehmen, Datenarchitekturen sowie ETL-Prozesse konzipieren, technisch umsetzen und den zuverlässigen Betrieb der Plattform sicherstellen
- Neue Anforderungen an Datenanalysen performant implementieren
- Selbstständig an Prototypen-Projekten zur Umsetzung von Technologieentscheidungen mitarbeiten
- Nach dem Informatik-Studium (oder vergleichbar) schon in einer vergleichbaren Position tätig gewesen
- Sehr erfahren in moderner, agiler sowie objektorientierter Softwareentwicklung mit Python
- Sicher in der Nutzung von Datenbanksystemen (Google BigQuery, Exasol, Azure SQL Database) SQL – idealerweise auch administrativ und/oder konzeptionell
- Die Nutzung von Cloud-Umgebungen (Google Cloud Platform, Azure Synapse) gewohnt
- Mit gängigen Pipeline-Tools (z.B. Apache AirFlow) sowie Git/GitLab vertraut
- Idealerweise erfahren in aktuellen Themen wie Maschine Learning, GenAI oder typischen DataScience-Bibliotheken (z.B. Pandas, scikit-learn, StatsModels, SciPy)
- Ständig bereit, dich in neue Technologien selbstständig und schnell einzuarbeiten
- Kommunikationssicher in der deutschen Sprache und fühlst dich in unserer Unternehmenssprache in Wort und Schrift wohl
- Ein etabliertes Unternehmen, das gleichzeitig kreativer Hotspot ist und Start-up-Feeling lebt
- Eine sehr große Relevanz deiner Arbeit, denn unsere Produkte stehen über Millionen Sparkassenkund:innen zur Verfügung
- Ein modernen Arbeitsplatz am
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