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Data Engineer - Streaming & Analytics (40 Wochenstunden) für die Abteilung Technik Online
ÖSTERREICHISCHER RUNDFUNK, ORFVienna
Wir erreichen mit unseren digitalen Angeboten wie ORF ON, ORF SOUND und ORF.at monatlich über 5 Millionen Nutzerinnen und Nutzer in Österreich. Dafür entwickelt und betreibt unser Apps und Datensystem
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Give the Gift of Parenthood — Surrogates Needed Now
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Data Engineer - Streaming & Analytics (40 Wochenstunden) für die Abteilung Technik Online
- Vienna, Austria
- Vienna, Austria
À propos
Wir erreichen mit unseren digitalen Angeboten wie ORF ON, ORF SOUND und ORF.at monatlich über 5 Millionen Nutzerinnen und Nutzer in Österreich.
Dafür entwickelt und betreibt unser Apps und Datensysteme-Team moderne Datenplattformen und Architekturen für Streaming, Analytics, Personalisierung und KI-Anwendungen.
Werde Teil unseres Teams und arbeite mit modernen Big-Data- und Cloud-Technologien an skalierbaren Datenlösungen. Bring deine Erfahrung im Data Engineering ein und entwickle gemeinsam mit uns innovative datengetriebene Anwendungen für Millionen Nutzerinnen und Nutzer weiter – wenn es auch für dich darum geht, Daten in Relevanz zu verwandeln.
- Der Maschinenraum: Du konzipierst, entwickelst und betreibst robuste ETL/ELT-Datenpipelines zur Verarbeitung großer Mengen an Medien-, Streaming- und Nutzungsdaten
- Architektur First: Du entwickelst moderne Datenarchitekturen im Umfeld von Data Lake, Data Warehouse und Cloud-Technologien aktiv weiter
- Basis für KI: Du bist zuständig für die Aufbereitung, Modellierung und Integration komplexer Datensätze für Analytics-, Reporting- und KI-Anwendungen
- Quality & Automation: Du automatisierst Monitoring-Prozesse, optimierst Datenprozessen und stellst die Datenqualität sicher – auch unter hoher Systemlast wie bei Wahlabenden oder Sportevents
- Zusammen gestalten: Du bist in enger Zusammenarbeit mit Fachbereichen, Product Ownern und Data Scientists zur Umsetzung publizistischer und strategischer Anforderungen
- Wissen teilen: Du gibst dein Wissen intern weiter und hältst bei Bedarf auch Schulungen und technische Workshops ab
- Tech-Background: Eine abgeschlossene technische Ausbildung oder ein Studium mit Schwerpunkt Informatik, Data Science oder vergleichbare Qualifikation – wichtiger ist uns jedoch deine fundierte Praxiserfahrung in den Bereichen Data Engineering, Datenintegration und Datenmodellierung
- Big Data Expertise: Du hast sehr gute Kenntnisse im Umgang mit Big-Data-Technologien sowie modernen Cloud- und Datenarchitekturen
- Kommunikation: Du hast eine ausgeprägte Kommunikationsfähigkeit und kannst komplexe technische Zusammenhänge verständlich vermitteln
- Qualitätsorientierung und Engagement: Du hast ein hohes Qualitätsbewusstsein, Eigeninitiative und die Fähigkeit, Optimierungspotenziale proaktiv zu erkennen und umzusetzen
- Impact: Mitarbeit an der technischen Infrastruktur einer der größten Medienorganisationen Österreichs
- State-of-the-Art: Ein technologisch spannendes Umfeld an der Schnittstelle von Streaming, Anlaytics, Medien-produktion und digitalen Plattformen
- Stabilität trifft Innovation: Wir bieten die Sicherheit einer großen Organisation gepaart mit der Agilität moderner Produktentwicklung
- Wachstum: Möglichkeiten zur Weiterbildung und Spezialisierung – fachlich wie persönlich
- Spielraum: Ein Arbeitsumfeld mit hoher Eigen-verantwortung
Was wir bieten
Dienstort: Wien
Arbeitszeit: 40 Wochenstunden, Normaldienst
Bruttojahresgehalt: Nach KV14 in VG 6 mindestens € 55.198,78 (inkl. Sonderzahlungen), höheres Gehalt abhängig von Erfahrung und Ausbildung.
Compétences linguistiques
- German
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