YOUR TASKS
- Perform quantitative analyses on packaging materials, with a focus on films and carton packaging
- Analyze stock levels, consumption patterns, and coverage of materials
- Calculate and simulate optimal usage scenarios for existing materials
- Identify optimization opportunities to reduce write-offs and leftover materials
- Support the planning and implementation of packaging switches
- Collaborate closely with Purchasing, Planning, Production, and Marketing
- Prepare analyses in Excel and reports, and present actionable recommendations
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Vollzeit | befristet | Praktikum
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What This Role Could Look Like
- Multi-camera calibration, SfM, bundle adjustment, mesh processing
- Inverse rendering: material and geometry estimation from images
- Differentiable rendering and appearance decomposition
- Generative 3D reconstruction: diffusion-based approaches, feed-forward networks
- BRDF modeling and physically-based material synthesis
- Integration of classical and learned components into production pipelines
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Was Dich erwartet:
- Architecture & Pipelines: Konzeption End-to-End-Datenlösungen mit MS Fabric, Azure DB und PostgreSQL. Komplexe, leistungsstarke ETL-/ELT-Workflows steuern
- Azure Platform Engineering: Übersetzung fachlicher Anforderungen in sichere, budgetkonforme Cloud-Architekturen. Bereitstellung und Verwaltung zuverlässiger Azure-Services – inklusive Azure Container Apps und LLM-Infrastruktur – mit Fokus auf Skalierbarkeit und Kosteneffizienz
- Database & Schema Engineering: Aufbau und Optimierung von Datenmodellen, Weiterentwicklung operativer Schemas sowie kontinuierliche Performance-Optimierung für unterschiedliche Datenbank-Workloads
- Backend Integration & Reporting: Reibungslose Integration der Data-Engineering-Ergebnisse in unser FastAPI-Backend. Aufbereitung stabiler Datenmodelle und Integration aussagekräftiger Analysen direkt in Power BI
- Platform Stability & Automation: Sicherstellung einer zuverlässigen Infrastruktur durch den Ansatz „Infrastructure & Data as Code“. Implementierung robuster CI/CD-Pipelines, automatisierter Tests und strikter Versionskontrolle für eine ausfallsichere Plattform
- Cross-Functional Communication: Schnittstelle zwischen technischen und fachlichen Teams. Verständliche Vermittlung komplexer architektonischer Konzepte – sowohl auf strategischer als auch auf technischer Ebene – angepasst an die jeweilige Zielgruppe
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Aufgaben:
- Datenanalyse & Modellierung: Analyse und Aufbereitung von Markt-, Handels- und Unternehmensdaten (insb. Italien). Entwicklung von Modellen, Algorithmen und Berechnungslogiken zur Abbildung komplexer energie- und handelsbezogener Prozesse
- Controlling & Reporting: Aufbau, Pflege und Weiterentwicklung von Controlling-Strukturen. Erstellung von Management-Dashboards, Forecasts, Soll-Ist-Vergleichen und Abweichungsanalysen für Liquidität, Performance und Prozessqualität
- Prozessautomatisierung: Identifikation von Optimierungspotenzialen und Umsetzung pragmatischer Automatisierungslösungen (z. B. Datenpipelines, Skripte), um manuelle Backoffice-Prozesse effizienter zu gestalten.
- Datenqualität & Infrastruktur: Sicherstellung der Datenqualität, Pflege von Datenbanken und Schnittstellen sowie Validierung von Daten aus verschiedenen Quellen
- Schnittstellenmanagement: Enge Zusammenarbeit mit Trading, Finance, IT und externen Dienstleistern, um technische und finanzielle Sachverhalte verständlich aufzubereiten
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YOUR RESPONSIBILITIES
- Ensure proper setup, maintenance, and governance of master data records (customer, supplier, material, product, and further domains as defined)
- Define and enforce master data quality standards and governance processes to ensure consistency, accuracy, and reliability
- Monitor and report on master data quality KPIs; drive corrective and preventive actions
- Design, implement, and optimize business processes directly related to master data, ensuring end-to-end efficiency and compliance with internal policies and external regulations
- Ensure cross-application process alignment across ERP, CRM, PLM, and other platforms
- Collaborate with business units and IT to align master data and process requirements with organizational needs
- Support strategic program planning (e.g., ERP, CRM), ensuring data and process readiness and ensure master data quality readiness for the running SAP implementation project
- Drive continuous improvement in master data management and data-driven processes through automation, analytics, and best practices
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Was Dich erwartet:
- Aufbau, Pflege und Weiterentwicklung von Reports und Dashboards in Power BI
- Entwicklung von Datenmodellen und Automatisierung von Prozessen mit Power Query, DAX und Python
- Anbindung und Integration verschiedener Datenquellen (z. B. ERP, CRM, Datenbanken)
- Nutzung von Cloud-Services wie Fabric für Datenanalyse und Reporting
- Unterstützung bei Prozessanalysen durch Bereitstellung von Daten und KPIs
- Enge Zusammenarbeit mit Fachabteilungen, um Anforderungen aufzunehmen und in technische Lösungen zu übersetzen
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YOUR RESPONSIBILITIES
- Design and implement backend services for an incident‑automation platform, including telemetry processing, orchestration, workflow execution, case/ticket integrations, and platform APIs
- Evolve the current architecture from tightly coupled workflows and database‑driven logic to a modular, event‑driven, and scalable backend platform
- Build and maintain reliable integrations with charger telemetry, ticketing/case systems, service workflows, and customer‑facing product components
- Improve workflow reliability, idempotency, retry mechanisms, state management, error handling, and auditability across automated playbooks
- Collaborate with product, service, R&D, and data engineering teams to translate operational playbooks into maintainable backend capabilities
- Contribute to technical decisions on rules/policy handling, workflow orchestration, context modeling, observability, and system scalability
- Support the implementation of secure, governed, and monitorable AI/agent‑based backend capabilities where appropriate
- Help define engineering standards, testing strategies, deployment patterns, and the long‑term backend architecture
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YOUR RESPONSIBILITIES
- Develop and maintain technical specifications for all raw material packaging and intercompany packaging (e.g., films, cartons, labels, pallets, liners, bags)
- Evaluate packaging materials for performance, durability, compliance, and compatibility with production equipment
- Lead packaging trials, testing, and validation activities
- Support new product introductions and packaging changes by defining requirements and ensuring supplier readiness
- Review and approve supplier documentation (technical data sheets, drawings)
- Conduct supplier capability assessments and support qualification processes
- Investigate packaging-related quality issues and lead root cause analysis with suppliers
- Collaborate with Quality Assurance to implement corrective and preventive actions (CAPA)
- Identify opportunities to reduce packaging costs through material optimization, design changes, or supplier improvements
- Support sustainability initiatives such as lightweighting, recyclability, and waste reduction
- Provide technical support for packaging planning, inventory management, and supplier performance reviews
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YOUR RESPONSIBILITIES
- Monitor chargers performance using collected field data to proactively identify and resolve issues, particularly during product launch phases
- Apply systematic troubleshooting techniques to identify and resolve technical issues with the chargers in customer applications, like:
- Data mining using corporate tools
- Analysis of system logs and specific data collection
- Performance of tests to reproduce, isolate and address the issues
- Work with all the development teams to resolve complex issues quickly and effectively in a multi-disciplinary team
- Provide guidance to data analysts and scientists on the strategic direction of their activities
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YOUR RESPONSIBILITIES
- Perform root cause analysis and define containment, corrective, and preventive actions, from concept through design and implementation
- Contribute to the definition, validation, and continuous improvement of early failure detection algorithms, diagnostics, and monitoring software
- Translate analysis results and lessons learned into new or updated system and product requirements
- Analyze service tickets and field feedback to identify potential product and system‑level issues
- Investigate system logs, connectivity issues, and software update failures to detect patterns and anomalies
- Diagnose hardware, power electronics, and mechanical failures on returned units
- Classify faults according to frequency, root cause, severity, and customer impact
- Support the R&D organization in the investigation of quality claims and actively contribute to the 8D process for design‑related issues
- Define and provide clear technical repair instructions to internal and external repair centers and verify the effectiveness of implemented countermeasures
- Collaborate closely with the Data Science & Analysis team to leverage remotely available fleet data for system improvement and failure trend analysis
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YOUR RESPONSIBILITIES
- Design, develop, and maintain secure, scalable web applications across the full stack (React/Next.js, C#)
- Take technical ownership of features and systems from concept and architecture through implementation, testing, and deployment
- Design and manage PostgreSQL database solutions, including data modeling, performance tuning, monitoring, and security
- Define, document, and promote best practices for full‑stack development, code quality, testing, and CI/CD workflows
- Conduct thorough code reviews, provide constructive feedback, and mentor other developers
- Collaborate closely with product managers, UX/UI designers, and cross‑functional teams in an agile environment
- Identify performance bottlenecks and implement robust, scalable solutions
- Troubleshoot and resolve complex software bugs, production issues, and architectural challenges
- Continuously evaluate and introduce new technologies, tools, and practices to improve the development lifecycle
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Deine Aufgaben:
- Erfassung, Analyse und Auswertung von betriebswirtschaftlichen Zahlen und Statistiken, um den Gesamtüberblick über das Unternehmen zu behalten.
- Erstellung von betriebswirtschaftlichen Auswertungen und Kontrolle der Jahresabschlüsse sowie Berechnung und Steuerung von Kennzahlen zur Leistungsbewertung.
- Überwachung und Analyse von Unternehmensprozessen, Erkennen von Problemen und Entwicklung von Lösungsvorschlägen zur Optimierung von Abläufen.
- Verantwortung für Budgetplanung, Forecasts und Kostenkontrolle sowie Erstellung von Kostenplänen und Prognosen.
- Beratung und Unterstützung der Geschäftsführung bei strategischen Entscheidungen durch fundierte Datenanalysen und Berichte.
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