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# Data Digitalization Specialist

- **Company:** SLM Solutions Group AG
- **Location:** Lübeck, Germany
- **Experience:** Expert
- **Salary:** €60,324.0 - €77,003.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Databases, Information Engineering, Data Infrastructure, Data Visualization, Python (Programming Language), Machine Learning, NumPy, Power BI, SciPy, SQL Databases, Tableau (Software), Workflow Management Systems, Data Processing, Pandas, Data Analytics, Data Pipelines, Powerapps
- **Published:** October 23, 2026
- **Apply:** https://www.xing.com/jobs/luebeck-data-digitalization-specialist-158710357

## About the Role

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), 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.

## 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