Job
- Level
- Senior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 2.509 € Brutto/Monat
- Ort
- Elsbethen
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job übernimmst du die Verantwortung für die Dateninfrastruktur, entwickelst stabile ETL-Pipelines und sicherst die Datenqualität durch Monitoring, Validierung und Automatisierung, um präzise Analysen und Reports zu gewährleisten.
Job Technologien
Deine Rolle im Team
- As Senior Data Quality Engineer, you take full co-ownership of TV-Insight’s data infrastructure, ensuring that all data relevant for measurement, extrapolation, ad targeting, and reporting is accurate, timely, and efficiently processed.
- You’ll design, operate, and continuously improve robust and scalable data pipelines, playing a central role in the evolution of the TV-Insight technology ecosystem.
- Working closely with the Technology Division and data science teams, you’ll help shape a data platform that enables reliable insights and self-service analytics across the organization.
- You’ll lead the operation, monitoring, and continuous improvement of data pipelines across all data domains.
- You guarantee data availability and correctness within production systems and implement robust scheduling, monitoring, and alerting solutions for all data workflows.
- You’ll automate ETL workflows and manual maintenance processes, developing CI/CD-based automation for data pipelines and deployments.
- You introduce standardized data quality checks and reconciliation frameworks to ensure scalable, efficient, and reliable data operations.
- You define and enforce data validation rules and performance metrics, proactively identifying, analyzing, and resolving data inconsistencies.
- You drive continuous improvements in data integrity and completeness, ensuring stakeholders can rely on data for critical decisions.
- You partner with data scientists and analysts to ensure data reliability for modeling, experimentation, and reporting.
- You evolve TV-Insight’s data platform towards self-service capabilities and high scalability.
- You participate in architecture design for future data products and act as a subject-matter expert for pipeline automation, data observability, and best practices in data engineering.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems or a related field.
Qualifikationen
- Strong knowledge of SQL, Python, and data warehouse concepts (e.g., BigQuery, Snowflake).
- Solid understanding of data validation, monitoring, and alerting frameworks.
- Analytical mindset with strong attention to detail.
- Strong communication skills and a team-oriented attitude.
- Self-driven, reliable, and able to manage complex data operations independently.
Erfahrung
- 5+ years of experience in data engineering, data quality, or pipeline automation.
- Proven experience with ETL frameworks (e.g., Airflow, Prefect, dbt).
- Experience with CI/CD, Docker, and cloud-based deployment (e.g., GCP, AWS).
Unser Angebot
- Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,509 gross per month.
- However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Red Bull Media House GmbH
Elsbethen, Fuschl Am See, Wals-Siezenheim , Wien
Red Bull Media House is a multi-platform global media company that creates authentic and inspiring entertainment to fascinate people. Our product portfolio includes long and short form videos, still images, documentaries, feature films, music, games and mobile apps, as well as print and online magazines. Check out our open roles if you want to be part of inspirational storytelling and innovating new ways of leveraging media platforms.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2007
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Medien, Verlagswesen
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