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35350 Lilly Deutschland GmbH

Data Engineer(m/w/x)

Alzey
VollzeitVor OrtBerufserfahren
AI/ML
Data Science

Collecting and analyzing data from manufacturing equipment, quality control, and lab instruments at global pharmaceutical company. Strong manufacturing site experience required; German proficiency preferred. Company pension plan provided.

Anforderungen

  • Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Data Science, or related field
  • Legal authorization for employment in Germany
  • English fluency
  • Preferred German proficiency
  • Strong manufacturing site experience
  • Strong problem-solving skills
  • Strong analytical skills
  • Strong process improvement skills
  • Good written and oral communication skills
  • Process improvement experience
  • Organization skills
  • Self-management skills
  • Data Analytics knowledge
  • Machine Learning knowledge
  • Knowledge of Parenteral Products manufacturing
  • Working knowledge of Life Cycle management
  • Working knowledge of Business Process Model
  • Working knowledge of S95 model
  • Working knowledge of LSEF
  • Working knowledge of other Tech @ Lilly processes

Aufgaben

  • Collect, clean, and analyze data.
  • Utilize data from manufacturing equipment.
  • Utilize data from quality control systems.
  • Utilize data from laboratory instruments.
  • Optimize manufacturing processes.
  • Enhance product quality.
  • Drive efficiency improvements.
  • Prevent equipment downtime.
  • Support continuous improvement initiatives.
  • Communicate data insights to stakeholders.
  • Partner with Alzey Site Tech @ Lilly leader.
  • Collaborate with local and global functions.
  • Generate a data strategy.
  • Develop a portfolio of Alzey data projects.
  • Implement the agreed data strategy.
  • Implement the agreed project portfolio.
  • Lead small to medium data projects.
  • Create informative dashboards, reports, and tools.
  • Apply advanced analytics to prevent downtime.
  • Optimize equipment performance with analytics.
  • Optimize business processes with analytics.
  • Apply statistical methods and data visualization.
  • Identify trends and anomalies.
  • Identify process improvement opportunities.
  • Ensure data solutions adhere to regulations.
  • Ensure data solutions adhere to GMP.
  • Partner with business areas.
  • Understand current business processes.
  • Influence strategic direction for data collection.
  • Influence strategic direction for data analysis.
  • Apply knowledge of local business needs.
  • Influence global data solutions.
  • Facilitate collaboration across teams.
  • Ensure common understanding of processes.
  • Ensure common understanding of system capabilities.
  • Identify opportunities for improvement.
  • Influence business areas' process understanding.
  • Identify new opportunities.
  • Challenge the status quo.
  • Develop recommendations for productivity.
  • Understand global data architecture.
  • Replicate solutions from global groups.
  • Integrate external best practices.
  • Integrate external approaches into solutions.
  • Influence changes to Tech @ Lilly standards.
  • Meet evolving business and industry needs.
  • Maintain a safe work environment.
  • Work safely.
  • Support all HSE Corporate and Site Goals.

Berufserfahrung

  • ca. 1 - 4 Jahre

Ausbildung

  • Bachelor-Abschluss

Sprachen

  • Englischverhandlungssicher
  • Deutschverhandlungssicher

Tools & Technologien

  • Data Analytics
  • Machine Learning
  • S95 model
  • LSEF

Benefits

Betriebliche Altersvorsorge

  • Company pension plan

Karriere- und Weiterentwicklung

  • Career development

Weiterbildungsangebote

  • Professional development

Lockere Unternehmenskultur

  • Creative freedom
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens 350 Lilly Deutschland GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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