Senior Software Engineer - Data Engineering
Ort: Remote · Bereich: Data, AI & Analytics · Level: Senior · Veröffentlicht: 8. September 2026 · Geprüft: 20. Okt. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Revelio Labs beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Revelio Labs und vergleiche das Ökosystem mit direkten Wettbewerbern.
Revelio Labs
reveliolabs.comFührende Workforce-Intelligence-Plattform, die harmonisierte Arbeitsmarkt-, HR- und Gehaltsdaten für Großunternehmen, Finanzinvestoren und Research-Teams bereitstellt.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Revelio Labs freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
Designs and builds data pipelines and infrastructure, developing ETL processes and optimizing data storage. Ensures data quality and supports data-driven decision-making.
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Builds and maintains data pipelines and architectures, ensuring data quality and optimizing data processing workflows.
This role designs, builds, and maintains scalable data pipelines and ETL processes to support analytics and machine learning initiatives. The engineer will work with large-scale consumer datasets, optimize data infrastructure, and ensure data quality and reliability.
Weitere Positionen bei Revelio Labs
3 weitere offene Stellen
This role focuses on building and optimizing data flow pipelines that process large volumes of workforce data. The position involves working on data ingestion, transformation, and orchestration to ensure reliable and efficient data delivery.
This role focuses on analyzing workforce data to generate insights and support research initiatives. The position involves working with large datasets, performing statistical analysis, and contributing to the development of workforce intelligence products.
This role focuses on building and maintaining the data infrastructure that supports the workforce intelligence platform. The position involves working on data storage, processing frameworks, and infrastructure automation to ensure scalability and reliability.
