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Open nowPosted 2 days ago

Data Engineer Lab Digitalisation (m/w) 50-80%

myitjob GmbH

Where
Aargau, Switzerland
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Your applicationOpen nowData Engineer Lab Digitalisation (m/w) 50-80%myitjob GmbH · Aargau, Switzerland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 2 days ago

The posting

Job Informationen ######

Arbeitsort: Muttenz Pensum: 50-80% Eintritt: nach Vereinbarung, befristet bis 31.12.2027 Aufgaben: - Konzeption und Aufbau einer skalierbaren Datenplattform für Labor- und Forschungsdaten - Anbindung von Laborgeräten (z.B. Analysegeräte, Spektrometer, Bioreaktoren), Datenbanken und LIMS/ELN über Schnittstellen und Standards wie OPC UA - Entwicklung und Betrieb automatisierter Datenpipelines (ETL/ELT) inkl. Datenqualität, Metadatenmanagement und Versionierung - Bereitstellung der Daten für Analytics, Dashboards und Machine Learning nach den FAIR-Prinzipien - Sicherstellung von Datensicherheit, Zugriffskontrolle und Datenintegrität sowie Dokumentation und Schulung der Anwender - Mitarbeit in angewandten Forschungsprojekten mit Industriepartnern Profil: - Bachelor oder Master in Informatik, Data Science, Bioinformatik o.ä. - Mehrjährige Erfahrung im Data Engineering mit Python und SQL, Workflow-Tools und Containern (Docker) - Kenntnisse relationaler und NoSQL-Datenbanken, Cloud- oder On-Premise-Datenplattformen und API-Entwicklung - Erfahrung mit Labordaten, Geräteintegration, LIMS/ELN oder GxP-Umfeld von Vorteil - Selbstständige, strukturierte Arbeitsweise und Freude an interdisziplinärer Zusammenarbeit - Gute Deutsch- und Englischkenntnisse Geboten werden: - Modernste technische, Labor- und Büroinfrastruktur - Zusammenarbeit mit zahlreichen Unternehmen und Institutionen im In- und Ausland - Abwechslungsreiches wissenschaftliches Umfeld - Chancengleichheit und Vereinbarkeit von Beruf und Privatleben

Benötigte Skills ######

  • Deutsch
  • Englisch
  • ETL
  • Schulung
  • CLOUD
  • Python
  • SQL
  • NoSQL
  • Bioinformatik
  • Bachelor
  • Master
  • Befristete Anstellung

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