Job
- Level
- Experienced
- Location
- Lübeck
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.324 to 77.003€ gross/year
Job Summary
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 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 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
Our expectations of you
Education
- Education & Technical Skills
- Degree in Data Science, Engineering, Manufacturing Engineering, Mechanical Engineering, Physics, or 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 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 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)
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 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
Health, Fitness & Fun
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
SLM Solutions
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.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Data Digitalization Specialist
- Salary
- 60.324 to 77.003€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.37.728 to 46.441 € net/year · Tax class I
- Location
- Lübeck
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
