Create clear, structured documentation that supports both internal teams and end users. What you bring A degree in Computer Science or a comparable qualification. Several years of professional experience in Java-based software development, with knowledge of relevant tools, technologies, and frameworks including Spring, Maven, Eclipse, Git, Jenkins, Mockito, PostgreSQL, and MSSQL.
Programmierung / Anwendungsentwicklung Erfahrung mit Microsoft-Betriebssystemen und -Anwendungen, idealerweise mit MS-Navision/Microsoft Dynamics 365 Business Central, Kenntnisse im Netzwerk-Troubleshooting. Gutes Verständnis von Computern (sowohl Hardware als auch Software) sowie die Bereitschaft, neue Technologien und Fähigkeiten zu erlernen und anzuwenden. Ausgeprägter Sinn für Kunden-/Mitarbeiterservice mit belegbaren Erfahrungen und konkreten Beispielen.
Programmierung / Anwendungsentwicklung Erfahrung mit Microsoft-Betriebssystemen und -Anwendungen, idealerweise mit MS-Navision/Microsoft Dynamics 365 Business Central, Kenntnisse im Netzwerk-Troubleshooting. Gutes Verständnis von Computern (sowohl Hardware als auch Software) sowie die Bereitschaft, neue Technologien und Fähigkeiten zu erlernen und anzuwenden. Ausgeprägter Sinn für Kunden-/Mitarbeiterservice mit belegbaren Erfahrungen und konkreten Beispielen.
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
Your tasks Design, develop, and implement control system software for industrial automation projects Program PLCs (Programmable Logic Controllers), HMIs (Human-Machine Interfaces), SCADA (Supervisory Control and Data Acquisition) systems, and other control devicesCollaborate with engineering teams to define system requirements and specificationsPerform system integration, testing, and troubleshooting to ensure optimal performance and reliabilityProvide technical support and assistance during installation, commissioning, and maintenance phasesStay current with emerging technologies and industry trends to drive continuous improvement and innovation Your profile Bachelors degree or equivalent in Electrical Engineering, Computer Engineering, Software Engineering or related fieldProven experience in programming and configuring PLCs, preferable Siemens SIMATICProficiency in programming languages commonly used in industrial automation, such as ladder logic, structured text, and function block diagramFamiliarity with HMI or SCADA software, such as WinCC, Zenon or InTouch.Strong problem-solving skills and attention to detailExcellent communication and interpersonal abilitiesAbility to work independently and as part of a team in a fast-paced environment Additional information Competitive salary commensurate with experience Comprehensive benefits package, retirement plans, and paid time offOpportunities for professional development and advancementCollaborative and inclusive work environmentExposure to diverse projects and industries
The professional possesses in depth knowledge of the critical stages of semiconductor manufacturing, with a strong focus on wafer test and chip assembly, and maintains a high level understanding of adjacent process stages, including front end wafer fabrication and final test.Degree in Computer Science, Software Engineering, Electrical Engineering or comparable technical fieldStrong IT / software background with understanding of software architecture, data models and interfaces, system integration, industrial software solutions ideally with a background in manufacturing IT or MES environmentsExperience in semiconductor manufacturing, preferably in Wafer Test / Wafer Sort, Assembly, Final TestSolid knowledge of semiconductor data formats and standards such as SEMI E142, SECS/GEM (E5), E183, G85, STDFAbility to analyze complex technical data flows and translate them into software requirementsExperience working at the interface between customers, engineers and software development teamsStrong analytical and structured communication skillsFluent English required, German skills are a plus Gesundheitsmaßnahmen Mitarbeiterrabatte Aus- und Weiterbildung Betriebliche Altersvorsorge Mitarbeiterevents Unbefristete Arbeitsverträge Workation Flache Hierarchien und kurze Kommunikationswege 30 Tage Urlaub sowie anlassbezogener Sonderurlaub Reduzierte Vollzeit In der znt Zentren für Neue Technologien GmbH in Deutschland sowie in Österreich liegen unsere Vollzeitverträge unter 40 Stunden pro Woche.
The position has a high travel requirement, domestically and/or internationally Capability to comprehend and adapt to rapidly changing technologies Proficient computer skills utilizing MS Office basic programs (MS Word, Excel, Outlook, PowerPoint) Will be a plus familiarity with several technologies such as Mechanical & rotating systems, basic understanding of hydraulic systems.
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
Wir freuen uns darauf, Dich kennenzulernen.In unserem 24-monatigen Traineeprogramm arbeitest du mit uns hands-on daran, mit Brain-Computer-Interfaces die Grenzen der Medizin neu zu definieren. Dein Fokus liegt dabei auf drei wesentlichen Aufgabenbereichen: Technologieentwicklung: Designe mit uns die neue Generation an Brain-Computer-Interfaces.
Ensure quality through unit testing, code reviews, and close collaboration with your team. What You Bring A degree in Computer Science or a comparable technical field. Solid experience in frontend development – especially with TypeScript and Vue.js. Ideally, familiarity with Docker, Kubernetes, Linux/Windows, and GitLab.
Wir ermöglichen Dir den Einsatz von modernen Technologien, damit Du Deine Fähigkeiten im Umgang mit Computern und Software erweiterst. Von Anfang an bist Du aktiv in Projekte eingebunden und Deine Ideen und Vorschläge sind uns besonders wichtig!
Deine Rolle In Deiner Ausbildung zum Technischen Produktdesigner (m/w/d) der Fachrichtung Maschinen- und Anlagentechnik wirst Du zum Experten für technische Zeichnungen und Unterlagen im Maschinenbau. Du arbeitest hauptsächlich am Computer mit modernen CAD-Systemen und setzt die Vorgaben der Konstrukteure in detaillierte Entwürfe und Konstruktions- bzw. Montagepläne um.
Wir ermöglichen Dir den Einsatz von modernen Technologien, damit Du Deine Fähigkeiten im Umgang mit Computern und Software erweiterst. Von Anfang an bist Du aktiv in Projekte eingebunden und Deine Ideen und Vorschläge sind uns besonders wichtig!
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.
Ihr Profil Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master oder vergleichbar) der Fachrichtung Informatik, Computer Engineering Science (CES), Software Engineering oder einer vergleichbaren Fachrichtung • Programmiererfahrung in C++, C#, Python, JavaScript oder vergleichbar • Grundkenntnisse in den Bereichen Edge-/Cloud-Computing, Containervirtualisierung bzw.
Python programming experience required Investigate and respond to security alerts in our systems Create and maintain incident response playbooks Keep an eye on current threats and zero-day vulnerabilities in the cyber security space and implement preventative measures within the organization Who you are: min. 5+ years of experience in incident response security You have a background in Cyber Security, Computer Science or IT Operations You are experienced in incident response, blue teaming or digital forensics. Specifically in cloud-native environments You are able to write scripts and programs to automate tasks in Python or another programming language You are proficient with Linux and a SIEM You have experience working with web application firewalls, Cloudflare preferred.
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
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.
Ihr Profil Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master oder vergleichbar) der Fachrichtung Informatik, Computer Engineering Science (CES), Software Engineering oder einer vergleichbaren Fachrichtung • Programmiererfahrung in C++, C#, Python, JavaScript oder vergleichbar • Grundkenntnisse in den Bereichen Edge-/Cloud-Computing, Containervirtualisierung bzw.
What makes you stand out Required Qualifications: You hold a degree in Computer Science or a related field and have 3+ years of experience in agile software development, with knowledge of the full engineering lifecycle.You have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers, agentic AI, and other advanced AI solutions, including practical experience in building and deploying such systems.You are familiar with AI cloud platforms such as Azure AI Foundry and/or conversational AI platforms (e.g., Cognigy), have hands-on DevOps skills ideally in the Azure Cloud (ADO), and bring basic knowledge of cloud technologies, preferably Microsoft Azure.You are familiar with programming fundamentals in at least one high‑level language such as Python, Java, or TypeScript, ideally developing microservices using frameworks such as Flask, Django, or Spring (Java).You communicate clearly and effectively in English and German.
Maschinenbau, Elektrotechnik, Wirtschaftsingenieurwesen, Informatik, CES, Automatisierungstechnik, oder vergleichbar) Sie haben idealerweise bereits erste praktische Erfahrung im Bereich Entwicklung, Produktion, Automatisierung oder Computer Vision gesammelt. Sie haben den Selbstanspruch, neue Themen zu entwickeln und Gestaltungsspielraum zu nutzen. Sie arbeiten strukturiert und verbindlich, denken kreativ und pragmatisch, sind neugierig und motiviert, immer wieder Neues zu lernen.
Periodically inspects customer spare parts inventory and recommends additional parts orders as needed for successful equipment maintenance and operation. Your Qualifications Bachelor in computer or electrical engineering with good mechanical skills or comparable education/training Extensive knowledge of machinery for the beverage / packaging industry and work experience of at least 2 years Analytical thinking for solving technical tasks Programmable Logic Controller’s (PLC) experience, electrical and/or mechanical Flexibility, assertiveness and organizational skills Self-confidence and friendly appearance Willingness to travel up to 90% of the time Passport or willingness to obtain a passport Benefits Innovative and international working environment Competitive wages Medical, Dental, Vision insurance offered at 30 days of employment Generous Educational Reimbursement program Company sponsored Life and Disability Insurance Paid Time Off Ten (10) Paid Holidays per year 401K with Company Match Location: Waukesha ǀ Wisconsin ǀ USA
Maschinenbau, Elektrotechnik, Wirtschaftsingenieurwesen, Informatik, CES, Automatisierungstechnik, oder vergleichbar) Sie haben idealerweise bereits erste praktische Erfahrung im Bereich Entwicklung, Produktion, Automatisierung oder Computer Vision gesammelt. Sie haben den Selbstanspruch, neue Themen zu entwickeln und Gestaltungsspielraum zu nutzen. Sie arbeiten strukturiert und verbindlich, denken kreativ und pragmatisch, sind neugierig und motiviert, immer wieder Neues zu lernen.
Periodically inspects customer spare parts inventory and recommends additional parts orders as needed for successful equipment maintenance and operation. Your Qualifications Bachelor in computer or electrical engineering with good mechanical skills or comparable education/training Extensive knowledge of machinery for the beverage / packaging industry and work experience of at least 2 years Analytical thinking for solving technical tasks Programmable Logic Controller’s (PLC) experience, electrical and/or mechanical Flexibility, assertiveness and organizational skills Self-confidence and friendly appearance Willingness to travel up to 90% of the time Passport or willingness to obtain a passport Benefits Innovative and international working environment Competitive wages Medical, Dental, Vision insurance offered at 30 days of employment Generous Educational Reimbursement program Company sponsored Life and Disability Insurance Paid Time Off Ten (10) Paid Holidays per year 401K with Company Match Location: Waukesha ǀ Wisconsin ǀ USA
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!
Skills & Attributes Strong interpersonal skills and customer‑driven mindset.Strategic thinker with strong business acumen and commercial agility.Impactful communicator with the ability to lead, motivate, and influence teams.Results‑driven leader with a proactive, energetic, and collaborative approach.Excellent computer skills (MS Office, Word, Excel, PowerPoint).In return, we offer We believe there is always a better way. Open for change and feedback is what defines our culture.
Contribute to knowledge management efforts, sharing best practices and lessons learned with the team. Dein Profil Requirements: Education: Bachelor’s degree in Computer Science, Information Technology, or related field. Experience: At least 3 years of experience with Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
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.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
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.