Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 70.000 bis 75.000€ Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du robuste und skalierbare Streaming- sowie Batch-Datenpipelines mit Databricks auf Azure und Cloudera, arbeitest eng mit verschiedenen Teams und trägst zur Weiterentwicklung der Infrastruktur bei.
Job Technologien
Deine Rolle im Team
- Our Real-Time Data Engineering team provides low-latency, high-throughput pipelines that serve operational and analytical use cases as well as front-end features.
- We are currently expanding our data ecosystem by integrating Databricks to complement our existing Cloudera infrastructure.
- To support this initiative, we are looking for an experienced Data Engineer with a strong background in Databricks to join our team.
- Design and implement robust, scalable, and low latency streaming and batch data pipelines using Databricks on Azure.
- You may also develop some real-time data pipelines using Cloudera tools such as NiFi, Kafka, Spark, Kudu, and Impala.
- Collaborate with data scientists, analysts, third party tools, front- and backend engineers, and product managers to deliver reliable, high-quality data products.
- Contribute to continuous improvements in infrastructure, automation, observability, and deployment practices.
- Document as needed and share knowledge with other team members.
- Be part of a monthly on-call rotation (1 week per month) to support the stability of our real-time data infrastructure.
Unsere Erwartungen an dich
Qualifikationen
- Familiarity with the medallion architecture and best practices for Delta Lake.
- Proficiency in Python or Scala for data engineering tasks.
- Proficiency working with SQL and query optimization.
- Willingness to be part of an on-call support rotation (1 week/month).
- Fluent and comfortable in English (written and spoken).
- Excellent communication skills (clear & to the point, audience aware).
- Familiarity with CI/CD workflows for data engineering (e.g., using Azure DevOps or GitHub Actions).
- Knowledge of data governance, schema evolution and handling GDPR/data privacy in data pipelines.
- Understanding of observability tools for data pipelines (e.g., logging, alerting, and metrics systems).
Erfahrung
- 1+ years of experience with Databricks, including development of production-grade pipelines (streaming or batch).
- Strong experience with the Azure cloud ecosystem, including Azure Data Lake and Azure DevOps.
- Experience working with real-time data technologies such as Kafka, Spark Structured Streaming.
- Experience in developing data pipelines using the Cloudera stack is a huge plus.
- Experience in online gaming, entertainment, or e-commerce industries.
Benefits
Gesundheit, Fitness & Fun
Essen & Trinken
Work-Life-Integration
Job Standorte
Standort Wien
Österreich
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Greentube Internet Entertainment Solutions GmbH
Raaba-Grambach, Wien
Die globale interaktive Geschäftseinheit Greentube von NOVOMATIC ist der weltweit führende Full-Service-Anbieter im Online- und Mobile Gaming Sektor und Vorreiter bei der Entwicklung und Bereitstellung state of the art gaming Lösungen.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(1 Bewertung)3.5
Workingconditions
4.3Engineering
3.0Culture
4.0Career Growth
3.0
Real-Time Data Engineer
- Gehalt
- 70.000 bis 75.000€ Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
