Data Digitalization Specialist (m/f/d)

SLM Solutions; Lübeck; Hybride; EUR 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

37.5 hours/week

30 days of holiday

Holiday pay

13th salary

Mobile work

Flexible working hours

Company pension plan

Kindergarten subsidy

Jobrad

Corporate Benefits

Wellpass

Résumé du poste

Nikon SLM Solutions AG is seeking a Data Infrastructure & Governance professional to build centralized databases, automated data pipelines from LPBF machines, and standardized development data for traceability. You will work across development, materials, and testing to ensure data quality and governance.

You will establish continuous improvement cycles, develop dashboards, and enable machine learning and predictive analytics across application engineering and material development activities.

Qualifications

• Degree in Data Science, Engineering, Manufacturing Engineering, Mechanical Engineering, Physics, or related field
• Strong data analytics skills and understanding of complex processes
• Experience with Python (Pandas, NumPy, SciPy)
• Experience with PowerApps and other Microsoft PowerPlatform tools
• SQL database knowledge
• Experience with Power BI, Tableau, or similar visualization tools
• 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 range of stakeholders
• Self-driven and proactive

Responsabilités

• 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
• 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
• 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

Connaissances

Strong data analytics

Structured and analytical mindset

Communication with stakeholders

Self-driven and proactive

Experience in additive manufacturing (

Formation

Degree in Data Science, Engineering, Manufacturing Engineering, Mechanical Engineering, Physics, or related field

Outils

Python (Pandas, NumPy, SciPy)

PowerApps

Microsoft PowerPlatform

SQL

Power BI/Tableau

Description du poste

BENEFITS:

• collective agreement of the chemical industry
• 37,5 hours/week
• 30 days of holiday
• holiday pay
• 13th salary
• mobile work
• flexible working hours
• company pension plan
• kindergarten subsidy
• Jobrad
• Corporate Benefits
• Corporate fitness network Wellpass

POSITION DESCRIPTION:

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

QUALIFICATIONS AND REQUIREMENTS:

Education & Technical Skills

• Degree in Data Science, Engineering, Manufacturing Engineering, Mechanical Engineering, Physics, or related field
• Strong data analytics skills and understanding of complex processes
• Experience with Python (Pandas, NumPy, SciPy)
• Experience with PowerApps and other Microsoft PowerPlatform tools
• SQL database knowledge
• Experience with Power BI, Tableau, or similar visualization tools
• 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
• Experience with additive manufacturing (nice to have)
• Familiarity with LPBF process data (nice to have)
• Experience with materials testing data (nice to have)
• Knowledge of metallurgical and materials science concepts (nice to have)
• Experience with Industry 4.0 or digital manufacturing solutions (nice to have)

YOUR NEW WORKPLACE:

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.

Do you want to change the future of additive manufacturing and become part of our success story?

WHO WE ARE:

Nikon SLM Solutions AG is one of the world's leading companies in additive manufacturing. Our Selective Laser Melting machines enable the fast, reliable and cost-effective production of high-quality metal components. With our more than 700 employees from over 35 nations, we are revolutionizing additive manufacturing and are a partner at eye level for our renowned customers, e.g. from the aerospace industry, the energy sector, healthcare or the automotive sector.

Nikon SLM Solutions AG is headquartered in Lübeck, Germany, with offices in France, India, Italy, Singapore, South Korea, Canada and the United States.