Data Digitalization Specialist

SLM Solutions

Job

In this role, you will develop automated workflows and dashboards to enhance data processes in application engineering, structuring data, conducting analyses, and working on the digitalization of material development.

Job summary

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Job technologies

Your role in the 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 to monitor material process development and application engineering, including KPIs.
  • Data Infrastructure & Governance
  • Establish and maintain central databases for application projects, material, and testing data
  • Develop and use 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

Our expectations of you

Education

  • Education & Technical Skills
  • Degree in Data Science, Engineering, Manufacturing Engineering, Mechanical Engineering, Physics, or a related field

Qualifications

  • 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 with a 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)

Experience

  • Experience with Python (Pandas, NumPy, SciPy)
  • Experience with Power Apps and other Microsoft Power Platform 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)

What we offer

  • 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 that values diversity, tolerance, and openness. That is why we want people of all ages, people with disabilities, and people of all religions, sexual orientations and identities, ethnic origins, nationalities, and genders to find an employer in us.

Benefits

Health, fitness & fun

Higher take-home pay

Work-Life-Integration

Topics you will work on

Job locations

Map of the job locations
© OpenMapTiles, © OpenStreetMap contributors
  • Location Lübeck
    Schleswig-Holstein, Germany

About your employer

SLM Solutions Group AG is a leading provider of metal-based additive manufacturing technology. The company focuses on the development, assembly, and distribution of machines and integrated system solutions for selective laser melting. 400 employees worldwide are working for our customers from the aerospace, energy, healthcare, and automotive sectors.

Language
English
Company type
Established Company
Work model
Onsite, Hybrid
Industry
Industry, Production
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Data Digitalization Specialist

SLM Solutions