Ihre Aufgaben im Überblick
Qualitätsplanung (APQP/VDA): Erstellung und Pflege von Qualitätskonzepten unter Berücksichtigung der Anforderungen nach VDA und APQP über alle Projektphasen (Anfrage, Projekt, Serie, Ersatzteilproduktion). Bemusterung & Freigabe: Verantwortung für die Vorstellung von Bemusterungen (PPF und PPAP) beim Kunden sowie die Prüfung und Freigabe von Lieferantenbemusterungen. Risikomanagement: Mitarbeit bei der Erstellung und Pflege von FMEA (Fehlermöglichkeits- und Einflussanalyse) und Herstellbarkeitsanalysen. Audits & Analysen: Eigenständige Planung, Durchführung und Nachbereitung von Prozess- und Systemaudits (VDA 6.3 und IATF 16949) sowie Durchführung von Gewährleistungsanalysen. Reklamationsmanagement: Direkte Kommunikation mit dem Kunden und professionelle Bearbeitung von Reklamationen mittels der 8D-Systematik.
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Dein Aufgabenbereich
- Als Quality Engineer sorgst du dafür, dass nur geprüfte Produkte in die Produktion gelangen, verwaltest Prüflose im Wareneingang und erstellst Prüfpläne in SAP
- Du bearbeitest Abweichungen strukturiert: Dabei koordinierst du Non-Conformity-Meldungen, steuerst das Reklamationsmanagement und setzt nachhaltige Lösungen um
- Mit Auswertungen und KPIs machst du Qualität messbar und lieferst dem Team eine fundierte Entscheidungsgrundlage für kontinuierliche Verbesserungen
- Als Key User für SAP-QM und QS-/QM-Trainer teilst du dein Wissen und entwickelst Prüfmittel sowie Prozessabläufe weiter
- Du organisierst die Prüfmittelverwaltung und bringst deine Expertise in die Lehrlingsausbildung ein
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Dein Aufgabenbereich
- Prüfung von Rohstoffen, Halb- und Fertigprodukten sowie Durchführung prozessbegleitender und visueller Kontrollen in der Fertigung in Zusammenarbeit mit der Produktion
- Analyse und Dokumentation von Abweichungen, Erstellung von Meldungen sowie Kommunikation mit internen und externen Stellen
- Durchführung von Prüfaufträgen für technische Abteilungen sowie Sicherstellung der Einhaltung von Spezifikationen, Normen und Qualitätsvorgaben
- Mitwirkung im Prüfmittelmanagement, Unterstützung bei der Probenvorbereitung und aktive Beteiligung an LEAN-Aktivitäten zur Prozessoptimierung
- Aktualisierung und Weiterentwicklung von Verfahrens-, Fertigungs- und Prüfanweisungen, Prüfplänen und Prüfprotokollen
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Ihre Aufgaben im Überblick
Wareneingangsprüfung: Selbstständige Durchführung von Qualitätskontrollen an Primär- und Sekundärpackmitteln (z.B. Ampullen, Kartons, Etiketten, Folien, Gebrauchsinformationen, Bags). GMP-konforme Dokumentation: Sorgfältige Dokumentation der Messungen und Ergebnisse im LIMS sowie Durchführung von Double Checks. Gerätemanagement: Betreuung und Kalibrierung der Geräte im Bereich der Packmittelkontrolle (z. B. Waagen, Brechkraftmessgerät, Image Compare). Qualitätsmanagement-System: Erstellung und Überprüfung von bereichsspezifischen SOPs und Dokumenten. Reklamationsbearbeitung: Aktive Mitarbeit bei der Bearbeitung von Lieferanten- und Kundenreklamationen. Audits und Inspektionen: Unterstützung bei Kundenaudits und Inspektionen.
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RESPONSIBILITIES
- Degree in Business Engineering, Business Administration, or a related field.
- 3-5 years of professional experience in a comparable product development or product management role, ideally within the POS product environment.
- Excellent communication skills (verbal and written) in English; German language skills are a plus.
- Strong procurement skills with basic contract management knowledge.
- Proven success in managing end-to-end product development projects and leading sustainability optimization initiatives, integrating sustainability principles into product design.
- Experience in project and process management, with the ability to handle multiple internal and external stakeholders effectively.
- Strong understanding of structured project management and the ability to work cross-functionally across different departments.
- Expertise in sustainable materials, sustainable product development, or sustainability in design.
- Advanced Microsoft Excel skills for product analysis and reporting; experience with SAP is desirable.
- Ability to adapt and problem-solve in a fast-paced, global organization.
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RESPONSIBILITIES
- 3+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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RESPONSIBILITIES
- Contribute to projects that drive the global value chain, pricing and promotional efficiency through continuous improvement of global sales controlling processes and tools.
- Contribute to projects that deliver transparency and system integration in the areas of pricing, value chain management, customer and product profitability.
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RESPONSIBILITIES
- Education level/experience within same role/area, such as Degree in Business Administration, Supply Chain or Finance, or experience in Procurement Analytics or Category Management
- Advanced proficiency in English (written and spoken) is required, German or other languages is considered a plus
- Strong analytical skills with experience in data analysis and reporting.
- Knowledge of strategic and operational procurement processes.
- Excellent interpersonal and communication skills to build effective relationships with diverse stakeholders.
- Ability to identify cost-saving opportunities and drive procurement efficiencies.
- Proactive and detail-oriented with a focus on continuous improvement.
- Previous experience within category management or strategic procurement is preferred.
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DEINE AUFGABEN
- Selbstständige Bauteilprüfung anhand von Prüfplänen (Handmessung, Conturograph, Magnetfeldmessung, etc.)
- Erstellung von Prüfberichten und Kundendokumenten
- Prüfung von Qualitätsdokumenten (Materialzertifikate, Mess- und Prüfberichte von Lieferanten, etc.)
- Erfassung und Dokumentation von Bauteilabweichungen
- Aktive Unterstützung bei Ursachenanalysen
- Abstimmungen mit den Schnittstellen: Produktion, Technik, Quality Engineering
- Weiterbildung in zerstörungsfreien Prüfverfahren (wie z.B. Ultraschall- oder Wirbelstromprüfung)
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RESPONSIBILITIES
- Fluent in English, German is merital
- Bachelor’s or master’s degree in food science, food engineering, food chemistry or similar, alternatively, you bring a qualification in this field with relevant professional experience or further education (e.g. Technician)
- First professional experience in analytical measurements & product development
- Of advantage is experience in specification management and sensory science
- Very good communication skills, open minded and the ability to quickly adapt to new circumstances
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RESPONSIBILITIES
- Master of Science in Engineering, Information Technology, Business Administration or similar field
- At least 3-5 of experience in the SAP production planning and/or quality management modules are required.
- Fluent English skills, German is a plus
- Sound knowledge of business processes in the field of production and quality management
- Professional experience in IT/SAP project management
- Demonstrate ability to partner and challenge business ideas and requirements.
- Open, communicative, and solution-oriented personality who feels comfortable in a multicultural environment.
- Ability to work independently and autonomously in a team-oriented environment
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DEINE AUFGABEN
- Prüfung und Analyse von Product Assurance / Quality Anforderungen vor der Auftragsannahme
- Risikobewertung und Folgenabschätzung der geforderten Produktsicherheit sowie deren Kommunikation an das Projektmanagement bzw. an die Geschäftsführung
- Erstellung und Weiterentwicklung von unternehmensintern geltenden Dokumenten für Raumfahrtprojekte sowie von extern bereitzustellenden Dokumentationen (z.B. Documentation and Configuration Management Plan)
- Entwicklung von produktspezifischen Fertigungsabläufen, gemeinsam mit diversen Fachabteilungen, um zu gewährleisten, dass die nötigen Qualitätsschritte implementiert sind
- Regelmäßige Abstimmungen mit Kunden als direkter Project Quality Ansprechpartner in diversen Raumfahrtprojekten, beginnend bei der Angebotslegung/Entwicklung bis hin zur Auslieferung der Produkte
- Durchführung von Product Assurance Audits und Überwachung des Configuration Managements, intern, als auch bei externen Partnern/Lieferanten
- Moderation von Risikoanalysen, z.B. FMEAs (Funktion, Design, Prozess)
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RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
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Deine Aufgaben:
- Betreuung und Weiterentwicklung des bestehenden Integrierten Management Systems (IMS) nach IATF16949, ISO14001, ISO 50001, TISAX
- Vorbereitung, Unterstützung und Nachbereitung von externen und internen Audits sowie Monitoring von Auditmaßnahmen
- Durchführung von internen Audits an unseren Standorten
- Unterstützung der Fachbereiche bei der Erstellung und Optimierung von IMS-Dokumenten und Prozessen
- Mitarbeit bei der Digitalisierung von Qualitätsmanagement-Prozessen (CAQ – Computer-aided Quality)
- Ansprechperson für Fachbereiche bezüglich IMS, CAQ, Normen und Kundenanforderungen
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RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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Your future responsibilities
- Lead a diverse team of 8–10 scientists within the Embedded Artificial Intelligence group of the Intelligent Wireless Systems Division, focusing on machine learning and signal processing across various domains and applications.
- Shape the research agenda and project portfolio in collaboration with team members, peers, and the Head of Research Unit
- Drive innovative solutions through effective team leadership and expert coordination. .
- Manage resource planning and allocation for the research team
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RESPONSIBILITIES
- 5+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Programming: proficient in at least one of R, Python, SQL with the ability and willingness to learn the other two.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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RESPONSIBILITIES
- Deep knowledge of material master data and how it drives operations.
- Hands-on experience with SAP MDG-M (SAP MM module experience is a plus).
- Sharp organizational skills and relentless attention to detail.
- Strong problem-solving instincts for ticketing and data/process inconsistencies.
- A process-improvement mindset with a track record of implementing enhancements.
- Clear, effective communication — able to translate complex topics into simple, actionable steps.
- Analytical focus: isolate the core issue, design the fix, measure the impact.
- Proven ability to maintain data accuracy and alignment across systems and stakeholders.
- Ability to thrive in a fast-paced environment with shifting priorities.
- Project management skills are a plus.
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RESPONSIBILITIES
- A minimum of 3 years of experience in a data engineering role.
- Fluency in both German and English.
- Strong Partnership and Collaboration Skills: You have a proven ability to work effectively with technical and non-technical stakeholders. Given the international nature of this role, strong experience collaborating directly with data analysts and data scientists across different regions and sports is essential for success.
- Expert-Level Technical Skills: Deep knowledge of modern data modeling, ETL/ELT development, and data warehousing principles.
- Proven GCP Expertise: Significant hands-on experience building and deploying data platforms on Google Cloud Platform (GCP). Deep proficiency with BigQuery is essential.
- A Proactive, Responsible and Positive Mindset: A track record of taking ownership of complex technical projects and seeing them through to successful completion. You are a pragmatic problem-solver who anticipates challenges and takes initiative, with a “can-do” attitude and culture that we live for at Red Bull IT.
- Project Experience: Proven track record of large-scale project involvement and solutions across complex business domains.
- Partners and vendors: Experience in dealing with sourcing partners, vendors and suppliers, and involvement in multi-stream, complex activities across several external partner teams, tracking success and progress via engineering metrics such as Velocity, Burndown, Capacity Mgmt, Planning and Engineering Forecasting.
- Governance and Policies: Experience in data science and data engineering governance, policies and oversight.
- Bonus Points for: Experience with data transformation tools, especially dbt, workflow management tools like Dagster, Infrastructure-as-Code tools like Terraform.
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RESPONSIBILITIES
- Experience in full stack web development technologies, specifically Typescript and NodeJS
- Strong knowledge in frontend technologies and frameworks (Web Components, React, CSS)
- Interest in Continuous Delivery and test automation (Playwright, Vitest)
- Experience in AI assisted coding
- Familiarity with cloud technologies and state of the art SaaS products like AWS, GitHub or Cloudinary.
- Has worked in virtual & mixed team organizations, including with outsourced partners and vendors.
- Understanding of modern web application architectures and concepts, such as islands architecture, caching, accessibility and web performance
- Knowledge of CI/CD pipelines (GitHub Actions), build tools (Webpack, Vite)
- Familiarity in using tools like Git, JIRA or Datadog.
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Vollzeit
Linz, Salzburg
25.12.2025
Linz, Salzburg
ALL ABOUT: CREATING SAFETY BY TECHNOLOGY
- Conduct manual and automated tests using frameworks like Cypress, k6, and ChaosMesh.
- Maintain high-quality standards through comprehensive testing and best practices.
- Apply various testing techniques, including performance and security testing.
- Diagnose and resolve test failures with detailed analysis and collaboration.
- Work in a cross-functional, agile team environment using tools like Git, Jira, and Confluence.
- Engage in learning, share knowledge and support your team to achieve the best possible results together.
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Unser Kunde Takeda ist ein weltweit führendes, werteorientiertes, forschendes biopharmazeutisches Unternehmen mit Hauptsitz in Japan. In Österreich arbeitet Takeda entlang der gesamten pharmazeutischen Wertschöpfungskette: Forschung & Entwicklung, Plasmaaufbringung, Produktion und Vertrieb. Takeda ist der größte Standort im globalen Takeda-Netzwerk. Rund 4.500 Mitarbeiter*innen tragen täglich dazu bei, dass Medikamente aus Österreich in die ganze Welt gelangen und Patient*innen in Österreich Zugang zu innovativen Arzneimitteln von Takeda erhalten. Die Entwicklungs- und Produktionsstandorte des biopharmazeutischen Unternehmens befinden sich in Wien und Linz. In Orth an der Donau befindet sich zudem eines der Quality Control Labors. Takeda ist seit vielen Jahren ein zertifizierter Top Employer und ein familienfreundlicher Arbeitgeber und trägt stolz das Gütesiegel für betriebliche Gesundheitsförderung. Viele österreichweite sowie lokale Benefits schaffen bei Takeda ein attraktives Arbeitsumfeld.
- Arbeitsort: BioLife/Takeda Manufacturing BioLife Plasmazentrum Wels
- Befristung: 12 Monate
- Arbeitszeit: Teilzeit: 19h = 2-Tage, ein Arbeitstag dauert 9,5h (Monday/Thursday 10:00-20:00; Tuesday/Friday 09:00 -19:00; Wednesday closed)
- Gehalt: € 3.403,- bis € 4606,- brutto/Monat (Vollzeit, KV chem. Industrie, 14 Monatsgehälter pro Jahr)
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RESPONSIBILITIES
- Bachelor's degree in Fashion Design or a related field
- Minimum of 4 years of professional experience in a similar role
- English fluent, German skills are beneficial
- Extensive experience and technical of Outewear, fabrics, function and treatments, bestseller shapes for menswear and womenswear
- Strong Trend research and market research skills
- Superior organizational skills, ability to multitask, meet deadlines, and maintain attention to detail and creativity
- IMPORTANT: Please include a portfolio / website to your application
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RESPONSIBILITIES
- University degree (Bachelor's or Master's) with focus on supply chain management or logistics
- Fluent in English, German is considered as a plus
- 3+ years of professional experience in the field of (production) planning, supply chain management, or logistics.
- Experience with SAP S4/HANA, planning systems preferably SAP IBP and master data systems (SAP MDG-M) is advantageous.
- Very good MS Office skills, especially Excel.
- Analytical, precise and structured way of working.
- Process- and solution-oriented, able to work under pressure, organisational talent.
- Team Player mindset! You will be inserted in a multi-cultural and multi-skilled environment.
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RESPONSIBILITIES
- 5+ years’ experience in media monitoring, sponsorship analysis, or related fields (agency background preferred).
- Strong analytical mindset with the ability to structure and interpret data (ETL) into actionable insights.
- Proven experience sourcing and evaluating earned media and monitoring data, with expertise in managing external suppliers or outsourced teams.
- Familiarity with social media platforms and analytics tools (e.g., Sprinklr, native reporting dashboards).
- Basic understanding of Python and motivation to grow technical skills.
- Team-player mentality, proactive, adaptable, and curious, with a passion for sports, culture, and data storytelling.
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Die Rolle
- 10+ Jahre Erfahrung im Bereich Data & Analytics mit einem starken Track Record in datengetriebenen Transformationsprojekten, idealerweise im Medien-, Digital- oder Tech-Umfeld
- Nachweisliche Führungserfahrung sowie Kompetenz im Aufbau und in der Skalierung leistungsfähiger Data & Insights-Teams
- Tiefe Kenntnisse in Web- und App-Analytics, Audience Measurement, Data Modelling und Experimentation sowie der Ableitung strategischer Insights
- Erfahrung in Marktforschung (Panels, Studien) und der Integration dieser Daten in digitale Analyse- und Technologieumgebungen
- Sichere Anwendung von BI-Tools, Cloud-Datenplattformen und Data-Pipelines sowie fundiertes Verständnis von Datenschutz, Compliance und DSGVO-Anforderungen
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RESPONSIBILITIES
- Bachelor’s degree in design, communications, or in a related field
- 8+ years of experience in similar positions in a premium or luxury fashion context
- Proven ability to create compelling campaign visuals and assets with an innovative, forward-thinking approach
- Expert proficiency in Adobe Creative Suite and a strong eye for detail and precision
- Strong conceptual and analytical skills with experience in B2B and retail environments.
- Collaborative team player skilled in working with partners and stakeholders to achieve shared goals
- Exceptional presentation skills, capable of delivering impactful and inspiring creative concepts
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RESPONSIBILITIES
- Minimum of 3 years of experience in coordinating/managing cross-functional data related projects in Supply Chain, Logistics and/or Operations management or Controlling.
- Profound business knowledge in reporting and dashboarding applications - ideally SAP BI, SAP Analytics Cloud. End-user knowledge of the following source applications is beneficial but not a pre-requisite – SAP ERP (MM/SD), SAP IBP, SAP TM.
- Proficiency in Microsoft Excel/PowerPoint.
- Data analytics expertise, strong ability to understand data elements, sources, and relationships.
- High attention to detail and excellent organizational skills.
- The capability to handle multiple projects and stakeholders simultaneously.
- Strong communication and presentation skills for internal and external stakeholders.
- Team player, self-motivated, goal-oriented, flexible, and able to work under pressure in a fast-paced environment.
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RESPONSIBILITIES
- IT-related degree, or a degree in economics or law with a strong affinity for IT
- At least 3 years of professional experience in a similar position
- Fluent English skills, German is a plus
- Extensive experience in budgeting and cost management
- Demonstrated experience in contract management and negotiation skills
- Strong commitment to standardizing and streamlining approaches and processes
- Excellent communication skills and a proven ability to build sustainable relationships
- High level of self-responsibility and reliability paired with a structured, analytical and diligent work style and a strong learning agility
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