Du verantwortest das Endpoint Management unserer Windows 11-Clients über Microsoft Intune und baust perspektivisch das Mac-Management mit auf.Du paketierst, testest und verteilst Software-Pakete über Intune und ScappMan und automatisierst Deployments für einen reibungslosen Roll-out.Du administrierst Mobile Devices (iPhones und iPads) über MDM und stellst eine sichere und effiziente Geräteverwaltung sicher.Du bearbeitest Support-Anfragen im Bereich Hardware, Software, Netzwerk und Telefonie über unser Ticketsystem (1st/2nd Level Support).Du installierst und wartest IT-Anwendungen und Endgeräte und stellst den einwandfreien IT-Betrieb auf Client-Ebene sicher.Zusammen im Team verwaltest Du Nutzerkonten, Computer und Zugriffsrechte im Microsoft Active Directory und Microsoft Entra ID, richtest VPN-, Mobil- und E-Mail-Zugänge ein und betreust die Software-Verteilung.Du kümmerst Dich um die Beschaffung von Hardware und Lizenzen und hältst dabei unser Inventar aktuell.Du entwickelst Automatisierungen und Self-Service-Lösungen, um Standardprozesse zu verschlanken und die User Experience zu verbessern.Du hilfst mit, den IT-Support stetig zu verbessern und behältst dabei auch die Optimierung unserer Client-Infrastruktur und Support-Prozesse im Blick.Du verfügst über ein abgeschlossenes Studium im IT-Bereich, eine Ausbildung als Fachinformatiker:in oder eine vergleichbare Qualifikation mit entsprechender Berufserfahrung.Du bringst fundierte Erfahrung mit Microsoft Intune (Endpoint Management, App-Deployment, Policies) und idealerweise mit Mobile Device Management (iPhones/iPads) mit.Du hast Erfahrung in der Software-Paketierung und bist bereit, Dich in Tools wie ScappMan einzuarbeiten.Du bist sicher im Umgang mit Windows 11-Client-Umgebungen.
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Qualifications & Skills Strong technical communication skills, with the ability to clearly explain concepts and collaborate effectively with both technical and non‑technical stakeholders Advanced computer proficiency, including MS Office (Word, Excel, Outlook) and demonstrated ability to quickly learn and adopt new software platforms, CRM tools, data systems, or automation technologies 4‑year degree in a technical, business, or related field preferred, but not required Experience troubleshooting basic technical issues and navigating systems, dashboards, or digital workflows Ability to thrive in a fast‑paced, technology‑driven environment, managing multiple priorities while meeting deadlines Self‑starter with strong analytical thinking skills, able to investigate problems, interpret data, and follow established processes to completion with minimal supervision Excellent time management, organization, and multi‑tasking skills, with a proactive approach to solving operational or system‑related challenges Ability to work onsite (8:30am–5:00pm) and collaborate closely with technical and operational teams WÜSTHOF is an equal opportunity employer and we are committed to creating a diverse team.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.Strong business acumen including confidence with financial considerations, excellent negotiation and influencing skills, and comfort working in both sales and operational environments.Strong customer management skills and demonstrated ability to understand customer needs, have difficult conversations with internal/external stakeholders and customers, negotiate solutions and understand impacts on the overall program/portfolio.Strong leadership skills, ability to lead a virtual team in a matrix organization.Ability to work strategically to realize organizational and project goals, identifying and developing positive and compelling visions for the successful delivery of projects and taking account of a wide range of issues across, and related to, the projects and the organization.Strong presentation skills.Excellent written, verbal communication and interpersonal skills, including good command of English language (both written and spoken).Strong software and computer skills, including MS Office applications.Must have prior experience in the Clinical Research Organization (CRO) industry MINIMUM REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in life sciences and relevant global clinical research experience (director level), including hands on operational delivery and/or drug development experience in the applicable therapeutic area (Internal Medicine/Immunology) At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world.
As part of our team, you will take on the following responsibilities: You are responsible for the stable operation and continuous development of our Microsoft 365 environment, including Intune, Teams, SharePoint, OneDrive, Copilot, and related services.You actively contribute to the introduction of new features, technologies, and use cases within the Modern Workplace environment and support them from planning through to operational handover.You automate and standardize processes using PowerShell and Microsoft Graph to ensure efficiency, quality, and scalability.You ensure that our systems consistently comply with applicable security, compliance, and governance requirements.You work closely with internal stakeholders, support rollouts, and contribute to high user adoption through training, documentation, and enablement activities. What makes you stand out You hold a degree in computer science or have a comparable technical qualification.You have experience in operating and further developing Microsoft 365 services and feel confident in modern workplace environments.You bring solid knowledge of Entra ID (Azure AD), Intune, Conditional Access, Microsoft Teams, and SharePoint Online.You have hands‑on experience in PowerShell scripting and ideally in working with Microsoft Graph.You are interested in topics such as automation, security, governance and are motivated to further develop your skills in these areas.You work in a structured, self‑reliant manner and enjoy collaborating in a team.You have very good German and English skills, both written and spoken.
SOAP, REST, OData, CDS, BTP). What makes you stand out You hold a degree in (business) computer science or have a comparable education or training in the IT field (e.g. IT specialist).You have professional experience in application development for SAP systems, ideally with a focus on SD/MM.Preferably, you have already gained experience with S/4HANA and SAP BTP.A passion for new technologies, IT trends, and agile development sets you apart.You have strong analytical and communication skills as well as a service-oriented and self-reliant working style within project teams.Fluent German and good English skills complete your profile.
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions. What makes you stand out Degree in Computer Science or a related field.4+ years of experience in agile software development with solid understanding of the full engineering lifecycle.Hands-on experience with: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers and Agentic AI systemsDesigning, building, and deploying advanced AI solutionsExperience with AI cloud platforms (e.g., Azure AI Foundry) and/or conversational AI platforms (e.g., Cognigy).DevOps experience, ideally within Microsoft Azure (ADO).Programming experience in at least one high-level language such as Python, Java, or TypeScript.Experience developing microservices using frameworks like Flask, Django, or Spring (Java).
What makes you stand out You hold a Bachelor's or Master's degree in Computer Science, IT, or a comparable technical qualification.You bring solid professional experience in cloud engineering – especially with Kafka and Kubernetes.You ideally have relevant certifications in cloud technologies or cloud architecture.You communicate clearly, proactively, and with strong structure – both in technical discussions and in cross‑team collaboration.You can explain complex technical topics in an understandable way, promote active knowledge sharing, and support others with an open and cooperative mindset.You have very good English skills; German is an advantage but not essential.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.