Job
- Level
- Erfahren
- Ort
- Lübeck
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 60.324 bis 77.003€ Brutto/Jahr
Job Zusammenfassung
In dieser Funktion entwickelst du automatisierte Workflows und Dashboards, um Datenprozesse in der Anwendungstechnik zu verbessern, dabei strukturierst du Daten, führst Analysen durch und arbeitest an der Digitalisierung der Materialentwicklung.
Job Technologien
Deine Rolle im Team
- Digitalization & Business Process Automation
- Create digital workflows for requirements collection and Business Case Analysis (BCA)
- Review and revise internal departmental processes in consultation with a wide range of stakeholders
- Definition and implementation of interfaces with other departments
- Develop automated BCA calculations, including processing and post-processing costs
- Create automated customer reports for different application engineering project types
- Develop tools for automated reporting and customer qualification documentation
- Enable application engineering and material development activities
- Create dashboards and visualization tools for monitoring of material process development and application engineering monitoring including KPIs
- Data Infrastructure & Governance
- Establish and maintain central databases for application projects, material, and testing data
- Develop/make use of automated data pipelines from LPBF machines, laboratory equipment, and testing systems
- Structure and standardize development data to ensure traceability, accessibility, and reusability
- Ensure data quality, consistency, and governance across development application engineering and material development activities
- Establish continuous improvement cycles to ensure the sustainability of process optimizations
- Build and maintain digital knowledge repositories for parameter development programs
- Advanced Data Analytics and AI
- Perform statistical analysis of process-property relationships
- Collaborate in cross-functional teams to identify data-driven improvement opportunities
- Enable the generation of actionable insights from development and business data, including customer demand trends, key success and failure factors, and competitive gap analyses
- Support the implementation of machine learning and predictive analytics approaches
Unsere Erwartungen an dich
Ausbildung
- Education & Technical Skills
- Degree in Data Science, Engineering, Manufacturing Engineering, Mechanical Engineering, Physics, or related field
Qualifikationen
- Strong data analytics skills and understanding of complex processes
- SQL database knowledge
- Handling large and complex datasets
- Basic understanding of machine learning and AI methods
- Knowledge of data engineering and database architecture
- Soft Skills
- Structured and analytical mindset
- Ability to translate engineering questions into data-driven solutions
- Strong communication skills wide variety of stakeholders
- Self-driven and proactive
- Familiarity with LPBF process data (nice to have)
- Knowledge of metallurgical and materials science concepts (nice to have)
Erfahrung
- Experience with Python (Pandas, NumPy, SciPy)
- Experience with PowerApps and other Microsoft PowerPlatform tools
- Experience with Power BI, Tableau, or similar visualization tools
- Experience with additive manufacturing (nice to have)
- Experience with materials testing data (nice to have)
- Experience with Industry 4.0 or digital manufacturing solutions (nice to have)
Unser Angebot
- We offer you a versatile and responsible scope of duties in a global business.
- You can expect colleagues on an equal footing, flat hierarchies, a strong team spirit and a "can do" working atmosphere.
- We like to describe ourselves as a company with a start-up atmosphere, because with us you get the best of both worlds: a dynamic, future-oriented work environment with the advantages of a corporation.
- We are a company of diversity, tolerance and openness. That is why we want people of all ages and disabilities, religions, sexual orientations and identities, ethnic origins, nationalities and genders to find their employer in us.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
SLM Solutions
Die SLM Solutions Group AG ist weltweit führend auf dem Gebiet der metallbasierten additiven Fertigungstechnologie. Dabei konzentrieren wir uns auf die Entwicklung, Montage und den Vertrieb von Maschinen und integrierten Systemlösungen im Bereich des Selektiven Laserschmelzens. Unsere 400 Mitarbeiter sind weltweit für unsere Kunden aus u.a. der Luft- und Raumfahrtbranche, dem Energiesektor oder dem Gesundheitswesen im Einsatz - mit dem Ziel die Produktivität zu steigern und Kosten zu reduzieren.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion
Data Digitalization Specialist
- Gehalt
- 60.324 bis 77.003€ Brutto/JahrNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.37.728 bis 46.441 € netto/Jahr · Steuerklasse I
- Ort
- Lübeck
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
