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.
Apply statistical methods to detect anomalies, trends and shifts. Your Profile BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics or Engineering.At least 5 years experience in the field of data analytics, data mining.Technical expert in the field of data analytics, data mining.Proficient in Python and SQL languages.Experienced with statistical modelling and data mining techniques.Strong problem-solving skills with ability to multi-task and manage multiple projects simultaneously.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
As part of our team, you will take on the following responsibilities: You develop and maintain cloud‑based data pipelines and data products specifically for the Finance domain, built on our Snowflake database.You integrate financial and transactional data from various sources into our central Data Platform, optimize ETL processes, and ensure high data quality.You design and build new DataFlows and DataSets for Finance use cases and create as well as manage the corresponding Power BI reports.You collaborate closely with Finance Product Owners, Data Scientists, and Business Units to deliver meaningful analytical data products.You take ownership of data governance for all Finance data products and actively drive their further development.You support the modernization of our Finance data architecture and contribute to the migration towards cloud‑ and big‑data‑based technologies. What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.
We will need you to possess the following essential qualities and skills: Recognized Degree in IT; Computer Science; Software Engineering, Finance, Business Information Technology or relevant fieldsAbove 3.0 CGPA / Second Class upper (Hons)Less than 1-year ofworking experienceHighly self-motivated team player with good analytical and conceptual thinking, results-driven with initiative and good negotiation skillsAll rounded individual with a deep interest in IT industry who enjoys challenges and strive to work with professionals in IT industry globallyAble to quickly absorb professional knowledge, good in problem-solving, contribution and leadershipEagerness to take responsibility over complex processes and ability to multitaskExcellent verbal and written English WHAT IS THE PLUS POINT (S) Experience in self-initiated projects WHAT YOU WILL GET FROM US Great team of IT professionals with global working exposure Meal Card and Flexible Benefits – customized according to individual needs On-going professional and technical training and certifications A multicultural environment in modern offices Choose any day for your vacation from earned public holiday (Saturday and ad hoc) Smart casual everyday Global internal job opportunities available within DPDHL Unlimited Outpatient Medical Home office possibilities If you are up to the challenge, contact us today and we will ensure that you will have an experience of a lifetime.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.
Main Responsibilities: Work directly with Sales Engineers, Product Sales Development Managers, and Sales ManagersAnalyze sales data and pricing trends to support improvements in market‑specific pricingTrack online pricing for vacuum pump technology to assess competitive positioningDesign and generate reports, dashboards, and visualizations for the management teamAttend sales meetings, business functions, service calls, and customer visits alongside account managers and mentorsSupport development of internal data strategies to drive pricing and market‑focused sales initiativesBuild an appreciation for how data influences direct and indirect sales and marketing strategiesPerform other related duties as assignedTo succeed, you will need Skills / Knowledge / Experience: Education level: Must be a Junior or Senior majoring in: Computer ScienceManagement Information SystemsBusiness / Marketing AnalyticsIndustrial Engineering Knowledge areas/Skills: Strong analytical and creative problem‑solving skillsProficiency in Excel and/or Python; Tableau or PowerBI experience preferredSelf‑motivated, independent, flexible, organized, and methodicalResults‑driven, accountable, and ambitiousAdaptability in a dynamic, fast‑paced environmentIn return, we offer We believe there is always a better way.
Azure ML, Azure Databricks) oder anderen Cloud-Lösungen Mehrjährige Projekterfahrung im Bereich Data- & Analytics-Architekturen sowie erste konkrete Erfahrung in AI-Projekten (z. B. Forecasting, Klassifikation, NLP, Computer Vision) Tiefgreifendes fachliches Verständnis und Umfassende technologische Expertise und tiefes fachliches Verständnis, erworben in zahlreichen Projekten über verschiedene Branchen hinweg Wünschenswert fundiertes (zertifiziertes) Know-how im agilen Produkt- und (Multi-)Projektmanagement (z.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB) Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service Mapping Ensure integrity, accuracy, and currency of all Configuration Items (CIs) Define, implement, and enforce ITIL-aligned configuration policies, standards, and procedures Align asset and configuration data in close cooperation with the Group Competence Center for IT Configuration Management Support the integration of IT Asset Management and Configuration Management processes and tools Work closely with Change Management, Incident Management, and the Service Desk Conduct audits and process reviews, identify discrepancies, and drive corrective actions Train, advise, and support IT teams on configuration management best practices Contribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantage Strong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirable Proven professional experience in Configuration Management within medium to large IT environments Solid knowledge of IT Asset Management and its interaction with configuration data Hands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platforms Structured, detail-oriented, and process-driven working style Confident communicator, able to collaborate effectively across departments and stakeholder groups Very good command of English, written and spoken Experience supporting ITSM-related projects, particularly automation and tool integration initiatives Confidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office option Extensive Learning & Development opportunitie Life balance & family-friendly benefits Modern office environment with canteen Health & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
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.
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.
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.
Takes a lead role in pro-active to suggest process improvement according WMS standards functionalities and business requirements Requirements: Bachelor or higher degree in Engineering, Computer Science, IT or Logistics. 4+ years’ experience in WMS implementations as functional analyst Strong knowledge in WMS solution Knowledge of integration techniques using middleware.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB)Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service MappingEnsure integrity, accuracy, and currency of all Configuration Items (CIs)Define, implement, and enforce ITIL-aligned configuration policies, standards, and proceduresAlign asset and configuration data in close cooperation with the Group Competence Center for IT Configuration ManagementSupport the integration of IT Asset Management and Configuration Management processes and toolsWork closely with Change Management, Incident Management, and the Service DeskConduct audits and process reviews, identify discrepancies, and drive corrective actionsTrain, advise, and support IT teams on configuration management best practicesContribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantageStrong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirableProven professional experience in Configuration Management within medium to large IT environmentsSolid knowledge of IT Asset Management and its interaction with configuration dataHands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platformsStructured, detail-oriented, and process-driven working styleConfident communicator, able to collaborate effectively across departments and stakeholder groupsVery good command of English, written and spokenExperience supporting ITSM-related projects, particularly automation and tool integration initiativesConfidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office optionExtensive Learning & Development opportunitieLife balance & family-friendly benefitsModern office environment with canteenHealth & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You bring experience in Revenue Operations, Sales Operations, Sales Analytics, or a similar commercial analytics role.You have a strong understanding of sales processes, pipeline management, forecasting, and revenue metrics, and you can translate them into technical requirements for engineers.You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You are a great stakeholder manager who can talk to sales and engineering alike.You are highly proficient in Power BI and experienced in building dashboards that drive action.You are comfortable working with CRM data and sales systems (e.g.
What You’ll Do: Collaborate in an Agile, International TeamWork closely with colleagues from Romania, Germany, and UkraineDesign, estimate, develop, and implement software solutions aligned with business needsActively communicate progress, risks, and technical decisions to stakeholdersBuild Scalable Data SolutionsDevelop agnostic data products within a modern, cloud-native data ecosystemSupport use cases across BI, Advanced Analytics, AI, and MLTranslate business requirements into robust technical architecturesContinuously enhance performance, quality, and cost-efficiency of solutionsProactively suggest improvements and best practices What makes you stand out Degree in Computer Science, Economics, or a comparable qualificationMinimum 3 years of experience as a BI Engineer or Data Engineer, focused on cloud-based architecturesStrong expertise in: Snowflake and DBT (Data Build Tool)Solid knowledge of: SQL and Data lakehouse architectures, Python is nice to haveCommunication is Key Excellent communication skills in English (written and spoken) — mandatoryAbility to clearly explain technical concepts to both technical and non-technical stakeholdersStrong stakeholder management and collaboration skillsComfortable working in cross-border, multicultural teams We are looking forward to your application and to applicants who enrich our diverse culture!
Location: Mobile Work (Mexico) What you’ll do Lead the charge: Manage cross-functional teams to deliver software into major retail environments Be the face: Build strong customer relationships as the main contact throughout the project lifecycle Keep it agile: Support Agile processes and enable smooth development execution Own the numbers: Manage budgets, forecasts, and invoicing with precision Stay ahead: Report on status, risks, and financials across stakeholder levels Solve smart: Resolve issues, ensure quality, and keep projects on time and on budget What you bring A degree in Computer Science, IT, or a related field Strong experience in the Central/Latin America`s retail market, experience in IT/software projects; POS background is a plus Proven success in managing customer-facing projects, including budgeting and contracts Strong communication skills and confidence in stakeholder management Team-oriented, creative in problem-solving, and adaptable to dynamic environments Fluent in English Willingness to travel and take your expertise global
Tätigkeiten: Potenziale erkennen: Analysiere Kundenanforderungen und entwickle datengetriebene Lösungen – von Analytics über Machine Learning bis GenAI.Strategien entwickeln: Konzipiere individuelle Data-&-AI-Strategien für vielfältige Use Cases.Lösungen skalieren: Entwirf zukunftsfähige Architekturen für Datenplattformen, ML-Pipelines und AI-Systeme.Technologien prüfen: Teste und empfehle passende Technologien, begleite Umsetzungsteams mit klaren Roadmaps.Business ausbauen: Unterstütze Pre-Sales-Aktivitäten, Marktanalysen und die Weiterentwicklung datenbasierter Geschäftsbereiche.Angebote mitgestalten: Bringe deine Ideen in Lösungskonzepte, Kalkulationen und Präsentationen ein.Akademischer Hintergrund: Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, Computer Science oder eine vergleichbare Qualifikation.Erfahrung: Mehrjährige Erfahrung in der Konzeption und Umsetzung moderner Datenplattformen, ML-Lösungen und AI-Systeme.Technologiekompetenz: Fundierte Erfahrung mit Azure, Databricks oder AWS sowie in Python, SQL, Docker, CI/CD-Pipelines und Infrastructure as Code.Fachliches Know-how: Tiefes Verständnis moderner Datenarchitekturen, MLOps und Data Governance.Arbeitsweise: Kombination aus konzeptioneller Stärke, analytischem Denken und pragmatischer Hands-on-Mentalität.Kommunikationsstärke: Fähigkeit, komplexe Themen klar und überzeugend zu vermitteln – in Deutsch und Englisch.Flexibilität: Wir bieten dir flexible Arbeitsmodelle mit großzügiger Gleitzeitregelung – wahlweise an einem unserer Standorte oder bis zu 100 % mobil innerhalb Deutschlands.Einarbeitung & Entwicklung: Deine individuelle Einarbeitung und Karriereförderung liegen uns am Herzen.
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!
. • High degree of self-accountability and commitment and a strong growth mindset to drive change and contribute actively to future leading transformation. • Very good computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. • Flexibility to occasional business travel for client meetings. • Strong problem solving skills. • Ability to make decisions, bringing clarity to disparate information to inform actions and drive results.
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
Für unsere Neugründung innerhalb der FUTRUE Gruppe suchen wir ab sofort einen Venture Manager – Brain-Computer-Interfaces (w/m/d), der mit uns bis 2030 die führende Generation von Brain-Computer-Interfaces entwickelt und so die Grenzen der Medizin neu definiert.
We are looking for you to support our project teams:Completed technical/university studies, preferably in the field of (business) computer science or equivalent skillsProfessional experience in project management of software projects desirableKnowledge of software architecturesExperience with agile methods desirableVery good knowledge of German and good written and spoken EnglishAs a service-oriented company, the creativity and commitment of the employees are of particular importance.
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.
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.
systerra computer GmbH sucht in eine/n Key Account Manager (m/w/d) (ID-Nummer: 13692734)
Fachliche Abstimmung und Beratung anderer Fachabteilungen und mit den anderen regionalen Gesellschaften Übergeordnete Steuerung und Überwachung des operativen Facility-Managements sowie Sicherstellung des Berichtswesens Implementierung und Überwachung von KPI's im Bereich CREM (Corporate Real Estate Management) Betreuung und Weiterentwicklung des CAFM-Systems (Computer-Aided Facility Management) Weiterentwicklung der Digitalisierung im Immobilienmanagement und Gebäudebetrieb Perspektivisch Ausweitung des Aufgabenbereichs auf die FM-Beratung des internationalen Portfolios Fachrichtung Facility Management, Gebäude-, Versorgungs-, Elektrotechnik oder aus einem artverwandten Bereich Umfangreiche Kenntnisse und fundierte Projekterfahrung in den Bereichen Betreiberverantwortung und Facility Management Ausreichend sehr fundierte Expertise Hohe technische und organisatorische Kompetenz sowie lösungsorientiertes, eigenverantwortliches sowie prozessuales und analytisches Denkvermögen Ausgeprägte Auffassungsgabe, Fähigkeit komplexe Strukturen zu erfassen Sicheres überzeugendes Auftreten, Durchsetzungsvermögen mit ausgeprägter Kommunikationsfähigkeit und Empathie sowie Kooperationsfähigkeit Sicherer Umgang mit MS Office, SAP und CAFM Konzernerfahrung wünschenswert Option auf Verlängerung Ein spannender Aufgabenbereich Betreuung und Vergütung durch Hays Ihr Kontakt Referenznummer 862253/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Für unseren Tamaris Store in München suchen wir zum nächstmöglichen Zeitpunkt Sie als Store Manager / Filialleitung (m/w/d) Was Sie bei uns bewegen: Kompetente, freundliche und individuelle Beratung sowie Betreuung unserer Kunden Warenpräsentation unter Berücksichtigung der Tamaris Richtlinien Eigenverantwortliche Planung und Umsetzung von Verkaufszielen und verkaufsfördernden Maßnahmen Aktives Warenmanagement und Steigerung der Flächenproduktivität Selbstständige Personaleinsatzplanung und -administration Was wir bieten: Vielfältige und abwechslungsreiche Aufgaben bei flachen Hierarchien Eine sehr gute und individuelle Einarbeitung Weiterentwicklungsmöglichkeiten Ein modernes Arbeitsumfeld im Store Selbstständiges Arbeiten und Übernahme von Verantwortung Mitarbeit in einem motivierten Team Attraktive Mitarbeiterrabatte Was Sie ausmacht: Abgeschlossene Ausbildung im Einzelhandel / Verkauf, vorzugsweise im Bereich Mode Einschlägige Berufserfahrung als (stellvertretende) Filialleitung Ausgeprägte Kommunikationsfähigkeit, Entscheidungsfreude sowie Verkaufstalent Begeisterung sowie Gespür für Mode Flexibilität und Teamfähigkeit Unternehmerisches Denken und Durchsetzungsfähigkeit Gute Computer-Kenntnisse (Microsoft Office) Für uns zählt Persönlichkeit! Egal, ob Sie bereits weitreichende Expertenerfahrung mitbringen oder einen Berufs- oder Quereinstieg suchen, wir freuen uns über Ihre aussagefähigen Bewerbungsunterlagen.
Für unseren Tamaris Store in Münster suchen wir zum nächstmöglichen Zeitpunkt Sie als Store Manager / Filialleitung (m/w/d) Was Sie bei uns bewegen: Kompetente, freundliche und individuelle Beratung sowie Betreuung unserer Kunden Warenpräsentation unter Berücksichtigung der Tamaris Richtlinien Eigenverantwortliche Planung und Umsetzung von Verkaufszielen und verkaufsfördernden Maßnahmen Aktives Warenmanagement und Steigerung der Flächenproduktivität Selbstständige Personaleinsatzplanung und -administration Was wir bieten: Vielfältige und abwechslungsreiche Aufgaben bei flachen Hierarchien Eine sehr gute und individuelle Einarbeitung Weiterentwicklungsmöglichkeiten Ein modernes Arbeitsumfeld im Store Selbstständiges Arbeiten und Übernahme von Verantwortung Mitarbeit in einem motivierten Team Attraktive Mitarbeiterrabatte Was Sie ausmacht: Abgeschlossene Ausbildung im Einzelhandel / Verkauf, vorzugsweise im Bereich Mode Einschlägige Berufserfahrung als (stellvertretende) Filialleitung Ausgeprägte Kommunikationsfähigkeit, Entscheidungsfreude sowie Verkaufstalent Begeisterung sowie Gespür für Mode Flexibilität und Teamfähigkeit Unternehmerisches Denken und Durchsetzungsfähigkeit Gute Computer-Kenntnisse (Microsoft Office) Für uns zählt Persönlichkeit! Egal, ob Sie bereits weitreichende Expertenerfahrung mitbringen oder einen Berufs- oder Quereinstieg suchen, wir freuen uns über Ihre aussagefähigen Bewerbungsunterlagen.
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent products Definition, further development and continuous optimisation of overarching verification methods based on system requirements and use cases Planning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standards Coordination, implementation and monitoring of test processes in close cooperation with development departments and verification teams Analysis of test results, risk assessment and derivation of appropriate measures to improve quality Definition of series tests taking into account risk analyses and statistical methods Close cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer science Extensive experience as a test manager and in testing complex, interdisciplinary systems Extensive professional experience in E2E IoT system testing and UI profile testing In-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & apps In-depth knowledge of build, release and DevOps environments as well as test automation.
K&P Computer Service- und Vertriebs GmbH sucht in eine/n Sales Manager – Channel (m/w/d) (ID-Nummer: 13651035)
Für unseren Tamaris Store in Münster suchen wir zum nächstmöglichen Zeitpunkt Sie als Store Manager / Filialleitung (m/w/d) Was Sie bei uns bewegen: Kompetente, freundliche und individuelle Beratung sowie Betreuung unserer Kunden Warenpräsentation unter Berücksichtigung der Tamaris Richtlinien Eigenverantwortliche Planung und Umsetzung von Verkaufszielen und verkaufsfördernden Maßnahmen Aktives Warenmanagement und Steigerung der Flächenproduktivität Selbstständige Personaleinsatzplanung und -administration Was wir bieten: Vielfältige und abwechslungsreiche Aufgaben bei flachen Hierarchien Eine sehr gute und individuelle Einarbeitung Weiterentwicklungsmöglichkeiten Ein modernes Arbeitsumfeld im Store Selbstständiges Arbeiten und Übernahme von Verantwortung Mitarbeit in einem motivierten Team Attraktive Mitarbeiterrabatte Was Sie ausmacht: Abgeschlossene Ausbildung im Einzelhandel / Verkauf, vorzugsweise im Bereich Mode Einschlägige Berufserfahrung als (stellvertretende) Filialleitung Ausgeprägte Kommunikationsfähigkeit, Entscheidungsfreude sowie Verkaufstalent Begeisterung sowie Gespür für Mode Flexibilität und Teamfähigkeit Unternehmerisches Denken und Durchsetzungsfähigkeit Gute Computer-Kenntnisse (Microsoft Office) Für uns zählt Persönlichkeit! Egal, ob Sie bereits weitreichende Expertenerfahrung mitbringen oder einen Berufs- oder Quereinstieg suchen, wir freuen uns über Ihre aussagefähigen Bewerbungsunterlagen.
Für unseren Tamaris Store in München suchen wir zum nächstmöglichen Zeitpunkt Sie als Store Manager / Filialleitung (m/w/d) Was Sie bei uns bewegen: Kompetente, freundliche und individuelle Beratung sowie Betreuung unserer Kunden Warenpräsentation unter Berücksichtigung der Tamaris Richtlinien Eigenverantwortliche Planung und Umsetzung von Verkaufszielen und verkaufsfördernden Maßnahmen Aktives Warenmanagement und Steigerung der Flächenproduktivität Selbstständige Personaleinsatzplanung und -administration Was wir bieten: Vielfältige und abwechslungsreiche Aufgaben bei flachen Hierarchien Eine sehr gute und individuelle Einarbeitung Weiterentwicklungsmöglichkeiten Ein modernes Arbeitsumfeld im Store Selbstständiges Arbeiten und Übernahme von Verantwortung Mitarbeit in einem motivierten Team Attraktive Mitarbeiterrabatte Was Sie ausmacht: Abgeschlossene Ausbildung im Einzelhandel / Verkauf, vorzugsweise im Bereich Mode Einschlägige Berufserfahrung als (stellvertretende) Filialleitung Ausgeprägte Kommunikationsfähigkeit, Entscheidungsfreude sowie Verkaufstalent Begeisterung sowie Gespür für Mode Flexibilität und Teamfähigkeit Unternehmerisches Denken und Durchsetzungsfähigkeit Gute Computer-Kenntnisse (Microsoft Office) Für uns zählt Persönlichkeit! Egal, ob Sie bereits weitreichende Expertenerfahrung mitbringen oder einen Berufs- oder Quereinstieg suchen, wir freuen uns über Ihre aussagefähigen Bewerbungsunterlagen.
Fachliche Abstimmung und Beratung anderer Fachabteilungen und mit den anderen regionalen GesellschaftenÜbergeordnete Steuerung und Überwachung des operativen Facility-Managements sowie Sicherstellung des BerichtswesensImplementierung und Überwachung von KPI's im Bereich CREM (Corporate Real Estate Management)Betreuung und Weiterentwicklung des CAFM-Systems (Computer-Aided Facility Management)Weiterentwicklung der Digitalisierung im Immobilienmanagement und GebäudebetriebPerspektivisch Ausweitung des Aufgabenbereichs auf die FM-Beratung des internationalen Portfolios Fachrichtung Facility Management, Gebäude-, Versorgungs-, Elektrotechnik oder aus einem artverwandten BereichUmfangreiche Kenntnisse und fundierte Projekterfahrung in den Bereichen Betreiberverantwortung und Facility ManagementAusreichend sehr fundierte Expertise Hohe technische und organisatorische Kompetenz sowie lösungsorientiertes, eigenverantwortliches sowie prozessuales und analytisches DenkvermögenAusgeprägte Auffassungsgabe, Fähigkeit komplexe Strukturen zu erfassenSicheres überzeugendes Auftreten, Durchsetzungsvermögen mit ausgeprägter Kommunikationsfähigkeit und Empathie sowie KooperationsfähigkeitSicherer Umgang mit MS Office, SAP und CAFMKonzernerfahrung wünschenswert Option auf VerlängerungEin spannender AufgabenbereichBetreuung und Vergütung durch Hays Ihr Kontakt Referenznummer 862253/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent productsDefinition, further development and continuous optimisation of overarching verification methods based on system requirements and use casesPlanning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standardsCoordination, implementation and monitoring of test processes in close cooperation with development departments and verification teamsAnalysis of test results, risk assessment and derivation of appropriate measures to improve qualityDefinition of series tests taking into account risk analyses and statistical methodsClose cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer scienceExtensive experience as a test manager and in testing complex, interdisciplinary systemsExtensive professional experience in E2E IoT system testing and UI profile testingIn-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & appsIn-depth knowledge of build, release and DevOps environments as well as test automation.Practical experience in the use of common test management tools and agile development methodsKnowledge of JIRA, Confluence and Codebeamer is an advantageExperience with the Linux operating systemAn advantage: ISTQB certification as a test managerStructured, independent and decisive way of working with a strong awareness of qualityVery good communication, presentation and mediation skills as well as high social and intercultural competenceFluent English skills, German skills are a big advantage Option for a long-term project with the possibility of extensionBy applying through Hays, you will be part of a small, carefully selected group of candidates presented to the client for this positionChallenging and varied tasks in a promising and innovative industry Ihr Kontakt Ansprechpartner Jil Zoltai Referenznummer 865070/1 Kontakt aufnehmen E-Mail: jil.zoltai@hays.ch Anstellungsart Freiberuflich für ein Projekt
#shapeandcreate Your Responsibilities: Act as an expert for SAP EWM and TM: provide technical advice and innovative solutions for complex challenges.Hands-on development: ABAP programming, enhancements (BADIs, User Exits), custom reports, interfaces (IDocs, RFCs, APIs), and UI technologies (Fiori, Screen Personas).Technical reviews, performance optimization, and troubleshooting of SAP SCM systems.Creation and maintenance of comprehensive technical documentation.Stay up-to-date with the latest SAP SCM innovations and industry trends.Support the integration of SAP EWM/TM with other SAP modules (e.g., PP, MM, SD) and external systems. Your Profile: Completed degree in Computer Science, Information Technology, or a comparable field..Proven track record as a Technical Architect or Developer in multiple full-lifecycle SAP EWM/TM implementations.Deep ABAP development skills (ABAP Objects, BAPIs, BADIs, User Exits) specifically in the EWM/TM context.Sound knowledge of SAP EWM and TM processes.Experience with integration technologies such as IDocs, RFCs, Web Services, and CPI.Knowledge of SAP Fiori/UI5 development is a plus.Excellent analytical, problem-solving, and conceptual thinking skills.Fluent in English (written and spoken); German language skills are a significant advantage.
SPIE Efficient Facilities GmbH sucht Dich ab sofort als Mitarbeiter | CAFM Manager | Koordinator m/w/d Einsatzort: München Stahlgruberring Kennziffer: 2026-0309 Aufgaben Abwechslungsreiche Tätigkeit zur Sicherstellung des definierten Standards für eine einheitliche CAFM (Computer Aided Facility Management) Nutzung Vorbereitung der Datenstruktur z.B. in MS-Excel oder MS-Access zur MigrationKoordination und Bündelung einzelner Anforderungen für eine zielgerichtete Weiterentwicklung der CAFM SoftwareEntwicklung und Mitwirkung bei Prozessoptimierungen und EinführungenErstellen von Schulungsdokumenten, organisieren und selbstständige Durchführung der Schulungsveranstaltungen Profil Technisches oder wirtschaftswissenschaftliches Studium mit Bachelor oder Master Abschluss vorrangig aus dem Bereich Maschinenbau / Elektrotechnik / Fachwirt Facility Management Alternativ technische Ausbildung z.B. als Elektroniker / Anlagenmechanik HKLS idealerweise mit Techniker oder Meister Qualifikation sowie Quereinsteiger mit vergleichbarer QualifikationBerufserfahrung im vergleichbaren Tätigkeitsbereich wünschenswertKenntnisse im Bereich der Serviceplanung und WartungsplanungPflege des Kundenportals und Einhaltung der aktuellen Gesetze und VorschriftenSelbständige, analytische und systematische Arbeitsweise Wir bieten Bis zu 35 Urlaubstage Überstundenausgleich Flexible Arbeitszeiten zur Vereinbarkeit von Familie, Freunden und Beruf Anteiliges 13.
Kaufmann für Büromanagement / Industriekaufmann / Eventmanager / Veranstaltungskauffrau oder Ähnliches (m/w/d) • Erste Erfahrung in Gastronomie oder Eventbereich von Vorteil • Gute Kenntnisse der englischen Sprache • Gute Computer Kenntnisse • Führerschein Klasse B zwingend erforderlich • Bereitschaft zu flexiblem Arbeiten (u.a. am Wochenende, Abends und Nachts) • Organisationstalent, Teamfähigkeit, Durchsetzungsfähigkeit, Kommunikationsstärke Wir bieten • Ein sicheres und festes Arbeitsverhältnis • Flache Hierarchien • Möglichkeit eines Firmen-PKW mit Privatnutzung • Firmenhandy zur Privatnutzung • ggf.
Deine Aufgaben • Unterstütze beim Aufbau von Neukunden und der Betreuung von Bestandskunden • Durchführung von Verkaufsgesprächen und Präsentationen • Begleiten von Projektstart • Helfe bei der Betreuung von Kunden vor, während und nach dem Projekt • Nutzen digitale Dokumentationssysteme • Unterstützung bei der Erreichung von Vertriebszielen • Teilnahme und Besuche von Messen und Netzwerkveranstaltungen Dein Profil • Du hast eine abgeschlossene kaufmännische Ausbildung oder vergleichbare Qualifikationen in den Bereichen Vertrieb oder Marketing • Du verfügst über gute Kommunikations- und Verhandlungsfähigkeiten • Du bist motiviert, zielorientiert und arbeitest gerne im Team • Du bringst eine hohe Kundenorientierung mit • Du hast erste Erfahrungen im Vertrieb oder Verkauf • Du bist sicher im Umgang mit MS Office und Computern allgmein Wir bieten • Ein sicheres und festes Arbeitsverhältnis • Ein dynamisches Team mit flachen Hierarchien • eine umfassende Einarbeitung • Möglichkeit eines Firmen-PKW mit Privatnutzung • Firmenhandy zur Privatnutzung • ggf.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
What makes you stand out You hold a Master’s degree in Economics, Mathematics, Statistics, Computer Science, or another related quantitative field.You bring at least 3 years of professional Data Science experience and have a proven track record of bringing models from the lab into real‑world production use cases.You are proficient in Python and SQL and have hands‑on experience building solutions on Azure and working with Snowflake.You have a deep understanding of statistical methods and apply them effectively in an agile, fast‑paced environment.You think in products, not experiments – model versioning, testing, and performance monitoring are second nature to you.You communicate complex topics clearly and with impact, presenting to different audiences confidently; you are fluent in English, and German skills are a plus.
Deine Aufgaben • Unterstütze beim Aufbau von Neukunden und der Betreuung von Bestandskunden • Durchführung von Verkaufsgesprächen und Präsentationen • Begleiten von Projektstart • Helfe bei der Betreuung von Kunden vor, während und nach dem Projekt • Nutzen digitale Dokumentationssysteme • Unterstützung bei der Erreichung von Vertriebszielen • Teilnahme und Besuche von Messen und Netzwerkveranstaltungen Dein Profil • Du hast eine abgeschlossene kaufmännische Ausbildung oder vergleichbare Qualifikationen in den Bereichen Vertrieb oder Marketing • Du verfügst über gute Kommunikations- und Verhandlungsfähigkeiten • Du bist motiviert, zielorientiert und arbeitest gerne im Team • Du bringst eine hohe Kundenorientierung mit • Du hast erste Erfahrungen im Vertrieb oder Verkauf • Du bist sicher im Umgang mit MS Office und Computern allgmein Wir bieten • Ein sicheres und festes Arbeitsverhältnis • Ein dynamisches Team mit flachen Hierarchien • eine umfassende Einarbeitung • Möglichkeit eines Firmen-PKW mit Privatnutzung • Firmenhandy zur Privatnutzung • ggf.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
Unser Mandant ist ein innovatives Technologie-Scale-up , das die Abfall- und Recyclingindustrie mit modernster künstlicher Intelligenz (KI), Computer Vision und Robotik nachhaltig verändert. Das Unternehmen entwickelt und vertreibt intelligente Systeme, die Materialien in Recyclinganlagen automatisiert erkennen, klassifizieren und sortieren .
Unser Mandant ist ein innovatives Technologie-Scale-up, das die Abfall- und Recyclingindustrie mit modernster künstlicher Intelligenz (KI), Computer Vision und Robotik nachhaltig verändert. Das Unternehmen entwickelt und vertreibt intelligente Systeme, die Materialien in Recyclinganlagen automatisiert erkennen, klassifizieren und sortieren.
Therapeutic area knowledge in any of the following would be an advantage: respiratory, inflammatory, cardiovascular - metabolic, CNS, oncology. Computer skills including good knowledge of Microsoft Word, Excel and PowerPoint. Fluent language skills in English. Effective communication, organizational and problem-solving skills.
Responsibilities Lead and steer complex replatforming projects independently Manage System Integrators and external partners to meet SCAYLE standards Ensure smooth connectivity and operation of customer environments post-go-live Own project lifecycle from planning to rollout, including budget and resource management Collaborate with internal and external stakeholders to align priorities and expectations Maintain transparent communication, progress tracking, and documentation throughout projects Apply agile methods to drive timely decisions and efficient execution Requirements Bachelor’s or Master’s degree in Business Administration, Computer Science, Business Informatics, Engineering, or similar experience 5+ years in IT project management, ideally in e-commerce or SaaS Proven experience managing enterprise customers and external service providers Strong knowledge of project management methodologies like Agile, Scrum, or Waterfall Solid understanding of e-commerce architectures, APIs, and MACH principles Exceptional communication and stakeholder management skills Experience with complex platform migrations or replatforming projects and project management certifications is a plus YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.