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Data & Analytics - Data Engineering Lead (all genders)

Vienna Insurance Group AG Wiener Versicherung Gruppe·WienHybridLead
3911 € / Monat
Vox-Zusammenfassung
  • Aufgaben: Leitung eines Data Engineering Teams, Projektkoordination mit Data Scientists, Entwicklung skalierbarer Databricks Pipelines, Nutzung von Azure Data Factory und Datenbanken.
  • Anforderungen: Mindestens 5 Jahre Erfahrung in Data Engineering mit Führungsverantwortung, praktische Kenntnisse in Databricks, Azure Data Factory, Datenmodellierung und Performance-Optimierung.
  • Vorteile & Bedingungen: Vollzeit, hybrid Arbeitsmodell, 37,5 Stunden, flexible Arbeitszeiten, Home-Office, Weiterentwicklungsmöglichkeiten, moderne Arbeitsumgebung, Gehalt ab 3.910,79 EUR brutto.
  • Sprachkenntnisse: Sehr gute Englischkenntnisse, Deutschkenntnisse sind ein Plus.
An der Quelle bewerbenSie verlassen VoxJobs zu karriere.at — die Bewerbung erfolgt direkt beim Unternehmen. karriere.at

Stellenbeschreibung

WORKING IN THE MIDDLE OF VIENNA: EXCHANGING ACROSS EUROPE Data & Analytics - Data Engineering Lead (all genders) • Vienna • full-time • hybrid • all genders • asap • experienced • Data & Analytics MEHR ÜBER DIE VIG Your Tasks • Lead and grow a data engineering team; coordinate projects with data scientists, engineers, and product owners • Design, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows • Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases • Define standards, reusable templates, and documentation for group-wide use • Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments • Manage platform costs and pipeline performance Your Benefits • 37,5 Working Hours, Flexi Time & Home-Office • Learning & Development • Life Balance & Family Specials • Modern Workspace & Canteen • Health & Sports Offers • More Benefits Your Profile • Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience • 5+ years in data engineering with leadership experience • Hands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, Jobs/Workflows • Experience with Azure Data Factory, data modeling, performance tuning, and operating production data systems • DataOps mindset: versioning, testing, automated deployments, observability, robust release processes • Excellent leadership, communication, teamwork; independent, solution-oriented; very good English; German is a plus Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR 3,910.79 gross on the basis of full-time employment (37,5 hours / week). Of course, the remuneration package is market-compliant. It is important to us that your salary is based on your qualifications and experience, therefore we will discuss the salary together in a personal interview. This full-time position is to be filled as soon as possible. Keyfacts • No. 1 in Central and Eastern Europe • More than 50 insurance companies and pension funds • Operating in 30 countries • Around 34,000 employees • Around 36 million customers • VIG share listed on the Vienna, Prague and Budapest stock exchanges • Standard & Poor's rating: A+ with positive outlook We stand for diversity and respect. That is why we see it as an enrichment to employ people of different backgrounds, ages, genders, sexual orientations, religions and abilities. Become part of our diverse Group! Katharina Peyer I look forward to receiving your application via our job portal! Apply now

Transparenz-Panel

Originalquelle
karriere.at
Veröffentlicht
14. Juli 2026 · echtes Datum
Zuletzt verifiziert
vor 5 Stunden
Qualitäts-Score
65/100
Gehalt angegeben30
Unternehmen identifiziert0
applyUrl0
postedAt15
Vollständige Beschreibung20

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