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Open nowPosted 17 days ago

Data Engineer (m/w/d) - Asset Management Infrastrukturanlagen

job-room.ch86,007 open roles

Where
Bern, BE, Switzerland
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Your applicationOpen nowData Engineer (m/w/d) - Asset Management Infrastrukturanlagenjob-room.ch · Bern, BE, Switzerland
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 17 days ago

The posting

Das kannst du bewegen.

  • In dieser spannenden Rolle baust du Datenpipelines auf, betreibst und entwickelst sie weiter auf der Enterprise Analytics Plattform der SBB, die Batch- und Streaming-Ansätze vereint.
  • Unterschiedlichste Datenquellen integrierst du via APIs/Kafka und ermöglichst damit Analysen, Dashboards sowie vorausschauende Wartung.
  • Datenprodukte und semantische Modelle gestaltest du auf Snowflake und Power BI.
  • Du entwickelst RAMSI weiter - von der Webanwendung (Java Spring Boot/Angular) über Reports bis hin zu Dashboards für unsere Fachspezialist:innen.
  • In enger Zusammenarbeit mit dem Business nimmst du Anforderungen auf und sorgst für nachhaltige Lösungen im Betrieb.
  • Dein Wissen und deine Erfahrung teilst du im Team und trägst zur fachlichen Weiterentwicklung bei.

Das bringst du mit.

  • Starke Kommunikationsfähigkeiten und Teamorientierung mit der Bereitschaft, gemeinsam mit unseren Fachspezialist:innen konkrete Lösungen zu erarbeiten und die fachliche Entwicklung anderer Dateningenieur:innen zu fördern.
  • Agile, selbständige und lösungsorientierte Arbeitsweise mit ausgeprägter Verlässlichkeit und Bereitschaft, Verantwortung für die Qualität und Nachhaltigkeit technischer Lösungen zu übernehmen.
  • Mehrjährige praktische Erfahrung im Entwurf, Aufbau, der Entwicklung und dem Betrieb cloudbasierter Datenplattformen mit modernem Data Stack (ETL/ELT, Data Warehouses, Streaming, Orchestrierung - z. B. Snowflake, DBT, Helm, Argo Workflows, Kafka).
  • Fähigkeit, skalierbare und kosteneffiziente Datenarchitekturen zu entwerfen und Trade-offs zwischen Latenz, Konsistenz und Kosten kritisch zu beurteilen.
  • Erfahrung in Datenmodellierung (Star-/Snowflake-Modelle) und Reporting mit Power BI, fortgeschrittene SQL-Kenntnisse sowie Kenntnisse zur Abfrageleistungsoptimierung.
  • Software-Engineering-Fähigkeiten in Python, inklusive Tests, CI/CD, Packaging- und Deployment-Best-Practices.
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