Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. Do you want to take an active role in changing wind energy infrastructure?
Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. Do you want to take an active role in changing wind energy infrastructure?
Your Responsibilities: Lead and execute high‑impact logistics projects aimed at continuously improving and standardizing 10 global warehouses, transportation networks, and repair operations Drive the physical transformation of sites by managing space development, layout optimization, and material‑flow design Implement modern solutions by overseeing the selection and introduction of best‑in‑class storage systems, transportation technologies, and material‑handling equipment Your Qualifications: Completed degree in Business Administration, Supply Chain / Logistics, or a comparable qualification Professional experience in Project Management and Supply Chain / Logistics Hands‑on experience in designing, implementing, and improving warehouse material flows, storage systems, and material‑handling equipment (mandatory) Proven success in leading cross‑functional and transnational project teams within a complex matrix organization (required) Expertise in end‑to‑end project management — from initiation and planning through monitoring, control, and project closing (mandatory) Experience working with Google Workspace Business‑fluent English skills and advanced German language skills Strong communication, interpersonal, and leadership abilities with the capability to influence and collaborate across diverse teams Demonstrated ability to develop compelling business cases, lead milestone/gate reviews, and manage project financials Strong analytical skills Willingness to travel worldwide Wir freuen uns auf Ihre aussagekräftige Bewerbung
Administration und Betrieb der Automic/UC4-Plattform, einschließlich der Automation Engine und Remote Agents, um eine stabile Prozessautomatisierung sicherzustellen Design, Pflege und Optimierung von Jobs, Jobplänen und automatisierten Workflows zur Unterstützung der Datenverarbeitung und Systemintegrationen Überwachung automatisierter Workflows, einschließlich Fehlererkennung, Incident-Bearbeitung, Restarts und Troubleshooting unter Nutzung der integrierten Überwachungs- und Alarmierungsfunktionen von UC4.
Aufgaben Als Senior Consultant (m/w/d) mit Schwerpunkt Netzwerktechnik sind Sie Teil des Systems Engineerings unseres Mandanten und zuständig für die Umsetzung von Netzwerkprojekten bei seinen Kunden. Konkret bedeutet das: Design, Konzeption und Implementierung von Kundennetzwerken im LAN/WLAN (Datacenter und Campus) sowie in Cloud Betriebsszenarien und im WAN Dokumentation und Konfiguration von Netzwerkkomponenten (Switching, Routing) Einführung von Network Access Control in Kundennetzwerken Analyse von bestehenden Netzwerkinfrastrukturen mit Erarbeitung von Optimierungspotentialen (u.a. in den Bereichen Verfügbarkeit, Sicherheit, Bandbreitenbedarf, SLA-Konformität) WLAN-Ausleuchtung und -Validierung von Standorten Unterstützung unseres Operations-Teams bei Netzwerkanalyse und –troubleshooting (3rd-Level) Teilnahme an Fachmessen und Moderation von Events 50% Reisetätigkeit, größtenteils ohne notwendige Übernachtungen Dienstsitz: D - 58xxx Einstellungsdatum: schnellst möglich Gehalt: nach Vereinbarung Anforderungen Abgeschlossene Ausbildung im Bereich IT und Berufserfahrung im Netzwerkbetrieb Sehr gute Kenntnisse im Bereich WLAN/LAN/WAN Erweitertes Know-how in der Netzwerksicherheit (z.B.
Uniplan vereint heute alle kreativen Disziplinen von Strategie, Kreation, Design und Projekt- und Eventmanagement bis hin zum Engineering und der Produktion. Dabei begleiten wir unsere Kunden von der ersten Idee bis zum letzten Handgriff: Über 300 Uniplaner an weltweit acht Standorten erwecken visionäre Ideen mit hohem Anspruch an die Machbarkeit zum Leben – alles für den einen Moment, der das Markenerlebnis einzigartig macht.
Analyzes and interprets case law, court reports, and proposed and existing laws, rules, regulations and company policies related to labor law to communicate on how they impact the organization's operations. Designs and implements legal risk mitigation strategies and policies in labor. Advises senior and other levels of management and personnel on legal and related risks associated with DPDHL's operations in area of labor; advises business on legal trends and developing areas of law.
In doing so, you will not only work on features, but also actively influence the architecture, quality, and technological orientation of our software solutions.Several years of professional experience in software development with .NET / C#, ideally in an industrial or production-related environmentIn-depth experience in the development of complex software solutions or productsVery good knowledge of modern software architectures (e.g., layered architecture, microservices, REST APIs)Experience with web technologies and front-end frameworks such as AngularConfident handling of relational databases (e.g., SQL Server, Oracle)Experience with clean code, design patterns, and automated testingUnderstanding of DevOps principles, CI/CD, and modern development processesAbility to make and communicate technical decisions in a structured mannerVery good German and good English skillsA focus on product development rather than project business with a high degree of creative freedom in architecture and technology selection, technical responsibility without disciplinary personnel management, and collaboration in an experienced, interdisciplinary development team.
Development and maintenance of modern user interfaces for the software platform Implementation of customer requirements and handling of tickets in day-to-day operations Optimization of existing frontend components with regard to performance and usability Design and implementation of new features for various application areas Ensuring a consistent and intuitive user experience across all applications Close collaboration with backend developers to integrate interfaces and data flows Support in the strategic further development of the platform and introduction of new technologies 3 years of experience in frontend development Experience with Vue.js, React, or Angular is desirable Fluent English skills as well as good German skills are preferred 30 vacation days Flexible working hours Home office option Gehaltsinformationen Budget of up to 80.000€ Ihr Kontakt Ansprechpartner Silva Celine Rehberg Referenznummer 854809/1 Kontakt aufnehmen E-Mail: silva.rehberg@hays.de Anstellungsart Festanstellung durch unseren Kunden
IHRE AUFGABEN Entwicklung von Backend-Services in C#/.NET, inklusive Datenbanklogik auf MS SQL Server (T-SQL, Performance-Tuning, Indexing) Gestaltung von Architektur und Schnittstellen (z.B. REST/gRPC) nach Clean-Architecture/SOLID und Domain-Driven-Design; Review, Refactoring und Technical Debt Management gehören dazu Qualitätssicherung durch automatisierte Tests (Unit/Integration), Code-Reviews und statische Analyse; Ende-zu-Ende-Tests für kritische Lagerprozesse Observability und Betriebssicherheit: Logging/Tracing/Metrics (OpenTelemetry), Feature-Toggles, Fehlerbudgets und Post-Mortems Security by Design nach OWASP ASVS (z.
IHRE AUFGABEN Entwicklung von Backend-Services in C#/.NET, inklusive Datenbanklogik auf MS SQL Server (T-SQL, Performance-Tuning, Indexing) Gestaltung von Architektur und Schnittstellen (z.B. REST/gRPC) nach Clean-Architecture/SOLID und Domain-Driven-Design; Review, Refactoring und Technical Debt Management gehören dazu Qualitätssicherung durch automatisierte Tests (Unit/Integration), Code-Reviews und statische Analyse; Ende-zu-Ende-Tests für kritische Lagerprozesse Observability und Betriebssicherheit: Logging/Tracing/Metrics (OpenTelemetry), Feature-Toggles, Fehlerbudgets und Post-Mortems Security by Design nach OWASP ASVS (z.
Du planst, implementierst und betreibst Netzwerk- und Firewall-Umgebungenfür Mittelstand & Enterprise. Wenig Reise, viel Wirkung.Firewall Engineering: Design, Rollout & Betrieb (Policy-Design, NAT, VPN, IPS/IDS, Härtung, Monitoring). Network Engineering: L2/L3-Design (VLAN, Routing), Site-to-Site, SD-WAN-Topologien, Switch-Konfiguration.Security by Default: Segmentierung, MFA-Enablement, Patch-/Update-Prozesse, kontinuierliche Verbesserung.Operations & Incident Handling: Event-/Log-Analyse, schnelle Störungsbehebung, Post-Mortems & Fixes.Consulting auf Augenhöhe: Anforderungen aufnehmen, Architektur vorschlagen, Umsetzung begleiten.Mehrjährige Praxis in Firewall & Netzwerk (Build & Run).Deutsch C1 (Workshops, Kundendialog, Doku) und solide Englisch-Skills.Fundiertes Verständnis moderner Netzwerk-/Security-Konzepte (Segmentierung, VPN, Routing, Zero-Trust-Denken).Strukturierte, eigenverantwortliche Arbeitsweise & Lust auf Professional-Services-Projekte.Nice to have: Herstellerkenntnisse (z.
Uniplan vereint heute alle kreativen Disziplinen von Strategie, Kreation, Design und Projekt- und Eventmanagement bis hin zum Engineering und der Produktion. Dabei begleiten wir unsere Kunden von der ersten Idee bis zum letzten Handgriff: Über 300 Uniplaner an acht weltweiten Standorten erwecken visionäre Ideen mit hohem Anspruch an die Machbarkeit zum Leben – alles für den einen Moment, der das Markenerlebnis einzigartig macht.
Mein Arbeitgeber Fire Point Rocket Technology (FPRT) is a defense technology company operating at the intersection of advanced chemistry and modern rocket propulsion. We design and manufacture solid rocket fuel and propulsion components that power next-generation defense systems, with uncompromising focus on safety, quality, and compliance.
Mein Arbeitgeber Fire Point Rocket Technology (FPRT) is a defense technology company operating at the intersection of advanced chemistry and modern rocket propulsion. We design and manufacture solid rocket fuel and propulsion components that power next-generation defense systems, with uncompromising focus on safety, quality, and compliance.
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design, build, and optimize batch data pipelines for internal tool use cases Develop efficient Spark SQL transformations for large-scale datasets Use Python for data processing, orchestration, and automation Create and maintain data models (facts, dimensions, aggregates) with clear grain and metric definitions Ensure data quality and correctness, including handling late data, duplicates, and adjustments Implement validation, data quality checks, and reconciliation logic Work with business stakeholders to gather requirements, define metrics, and translate needs into pipelines Collaborate with infrastructure teams on standards, performance tuning, and best practices Bachelor oder Master degree in a technical field or an equivalent qualification Experience in data engineering or a related field Strong proficiency in Spark SQL for large-scale data transformations Solid Python skills for data processing and pipeline development Strong understanding of data modeling (fact tables, dimensions, grain, SCDs) Hands-on experience building and maintaining batch pipelines in production High attention to detail with a strong focus on data quality and metric integrity Ability to communicate clearly with non-technical stakeholders and translate business needs into data solutions Remuneration in the most attractive collective agreement in the industry Annual leave entitlement of 30 days Generous working time account with the possibility to pay overtime Subsidization of direct insurance (as company pension scheme) Ihr Kontakt Ansprechpartner Kristina Meng Referenznummer 863942/1 Kontakt aufnehmen E-Mail: kristina.meng@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensors Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availability Act as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standards Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysis Support in defining and improving image analysis methods and tools to derive quantitative feature values from images Extend the data infrastructure with additional information, e.g. from sensor performance characterization Data driven improvements of manufacturing processes Completed technical training in process engineering, data science, bioinformatics, or similar professional education Professional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environment Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files Ability to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teams Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunity Good communication skills in a multicultural and multidisciplinary environment A thorough way of working and documentation Motivated team player with passion in promoting and driving fast-paced and ambitious projects Aptitude to understand and improve the underlying technical processes Proficiency in both English and German Unlimited project contract Fascinating, innovative environment in an international atmosphere Ihr Kontakt Ansprechpartner Jannik Fabio Eichin Referenznummer 865639/1 Kontakt aufnehmen E-Mail: jannik.eichin@hays.ch Anstellungsart Freiberuflich für ein Projekt
Register with us and reap the benefits of interesting job offers that match your skills and experience. Design, conduct, and analyze in vivo studies involving intravenous injections, blood collection, and bleeding/thrombosis models Execute full end-to-end in vivo workflows, from study preparation to sample processing and documentation Characterize gene therapy candidates using molecular and biochemical assays such as ELISA, thrombin generation, and chromogenic assays Handle, prepare, and evaluate patient-derived blood and plasma samples for in vitro and ex vivo experiments Perform data analysis, interpret results, and present findings to the research team Maintain accurate, complete, and compliant documentation across all experimental steps Contribute to lab operations, including safety standards, inventory, equipment handling, and general organization Collaborate with cross-functional team members to ensure smooth coordination and progress on gene therapy studies Academic background in life sciences (MSc or BSc) or completed scientific apprenticeship with hands-on laboratory experience Active certification for animal experimentation (e.g., LTK1, FELASA, or equivalent) Proven hands-on experience with rodent work, including intravenous injections and blood sampling Ability to independently design, execute, and manage in vivo studies from start to finish Experience with molecular or biochemical assays relevant to hemostasis, thrombosis, or gene therapy Strong ability to plan experiments, analyze data, and interpret scientific results Fluency in English with clear communication skills Highly organized, proactive, and team-oriented mindset with strong reliability and attention to detail Opportunity to contribute directly to translational gene therapy research with high scientific impact Hands-on work with a combination of in vivo, ex vivo, and molecular biology techniques Collaborative environment with close teamwork and modern laboratory infrastructure Diverse and meaningful daily tasks involving both preclinical models and human biological samples Ihr Kontakt Referenznummer 865654/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Managing end to end translation workflows for all European languages across infotainment systems, smartphone apps, app stores, and Features on Demand Serving as the primary English UX writer, creating and refining user facing content with clear, consistent, and brand aligned language Ensuring consistent terminology, microcopy, voice prompts, feature descriptions, and system messages across all platforms Conducting linguistic QA for on screen text, voice recognition, and text to speech, including testing in vehicles, on benches, with smartphones, and via automation Collaborating with product teams and UI/UX designers to ensure user friendly interfaces aligned with usability best practices and ISO 9241 11 Improving UI text through user testing, A/B testing, expert reviews, and market specific evaluations Supporting the full UI lifecycle-from requirements to implementation, localization, and market release Analyzing competitor digital ecosystems to support the European UX writing strategy Solid experience in translation management, localization tools, and European language markets Strong stakeholder and supplier management, including handling translation memories and glossaries Experience working with UI/UX design, product teams, and engineering Ability to conduct functional and linguistic testing across vehicle and digital environments. Understanding of infotainment systems, app ecosystems, app stores, and subscription/Features on Demand models Experience with automated testing or willingness to learn A valid European driving license (Class B) Near native English skills with strong UX writing abilities for automotive digital experiences 30 days leave per year A highly motivated team and an open way of communication A very renowned company A variety of cultural and recreational offers Dynamic and innovative market environment Ihr Kontakt Ansprechpartner Annika Chrysant Referenznummer 865505/1 Kontakt aufnehmen E-Mail: annika.chrysant@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design, build, and optimize batch data pipelines for internal tool use casesDevelop efficient Spark SQL transformations for large-scale datasetsUse Python for data processing, orchestration, and automationCreate and maintain data models (facts, dimensions, aggregates) with clear grain and metric definitionsEnsure data quality and correctness, including handling late data, duplicates, and adjustmentsImplement validation, data quality checks, and reconciliation logicWork with business stakeholders to gather requirements, define metrics, and translate needs into pipelinesCollaborate with infrastructure teams on standards, performance tuning, and best practices Bachelor oder Master degree in a technical field or an equivalent qualificationExperience in data engineering or a related fieldStrong proficiency in Spark SQL for large-scale data transformationsSolid Python skills for data processing and pipeline developmentStrong understanding of data modeling (fact tables, dimensions, grain, SCDs)Hands-on experience building and maintaining batch pipelines in productionHigh attention to detail with a strong focus on data quality and metric integrityAbility to communicate clearly with non-technical stakeholders and translate business needs into data solutions Remuneration in the most attractive collective agreement in the industry Annual leave entitlement of 30 days Generous working time account with the possibility to pay overtime Subsidization of direct insurance (as company pension scheme) Ihr Kontakt Ansprechpartner Kristina Meng Referenznummer 863942/1 Kontakt aufnehmen E-Mail: kristina.meng@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Managing end to end translation workflows for all European languages across infotainment systems, smartphone apps, app stores, and Features on DemandServing as the primary English UX writer, creating and refining user facing content with clear, consistent, and brand aligned languageEnsuring consistent terminology, microcopy, voice prompts, feature descriptions, and system messages across all platformsConducting linguistic QA for on screen text, voice recognition, and text to speech, including testing in vehicles, on benches, with smartphones, and via automationCollaborating with product teams and UI/UX designers to ensure user friendly interfaces aligned with usability best practices and ISO 9241 11Improving UI text through user testing, A/B testing, expert reviews, and market specific evaluationsSupporting the full UI lifecycle-from requirements to implementation, localization, and market releaseAnalyzing competitor digital ecosystems to support the European UX writing strategy Solid experience in translation management, localization tools, and European language marketsStrong stakeholder and supplier management, including handling translation memories and glossariesExperience working with UI/UX design, product teams, and engineeringAbility to conduct functional and linguistic testing across vehicle and digital environments. Understanding of infotainment systems, app ecosystems, app stores, and subscription/Features on Demand modelsExperience with automated testing or willingness to learnA valid European driving license (Class B)Near native English skills with strong UX writing abilities for automotive digital experiences 30 days leave per yearA highly motivated team and an open way of communication A very renowned companyA variety of cultural and recreational offersDynamic and innovative market environment Ihr Kontakt Ansprechpartner Annika Chrysant Referenznummer 865505/1 Kontakt aufnehmen E-Mail: annika.chrysant@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensorsImprove and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availabilityAct as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standardsImprove and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysisSupport in defining and improving image analysis methods and tools to derive quantitative feature values from imagesExtend the data infrastructure with additional information, e.g. from sensor performance characterizationData driven improvements of manufacturing processes Completed technical training in process engineering, data science, bioinformatics, or similar professional educationProfessional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environmentExperience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log filesAbility to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teamsSkills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunityGood communication skills in a multicultural and multidisciplinary environment A thorough way of working and documentationMotivated team player with passion in promoting and driving fast-paced and ambitious projectsAptitude to understand and improve the underlying technical processesProficiency in both English and German Unlimited project contractFascinating, innovative environment in an international atmosphere Ihr Kontakt Ansprechpartner Jannik Fabio Eichin Referenznummer 865639/1 Kontakt aufnehmen E-Mail: jannik.eichin@hays.ch Anstellungsart Freiberuflich für ein Projekt
Register with us and reap the benefits of interesting job offers that match your skills and experience. Design, conduct, and analyze in vivo studies involving intravenous injections, blood collection, and bleeding/thrombosis modelsExecute full end-to-end in vivo workflows, from study preparation to sample processing and documentationCharacterize gene therapy candidates using molecular and biochemical assays such as ELISA, thrombin generation, and chromogenic assaysHandle, prepare, and evaluate patient-derived blood and plasma samples for in vitro and ex vivo experimentsPerform data analysis, interpret results, and present findings to the research teamMaintain accurate, complete, and compliant documentation across all experimental stepsContribute to lab operations, including safety standards, inventory, equipment handling, and general organizationCollaborate with cross-functional team members to ensure smooth coordination and progress on gene therapy studies Academic background in life sciences (MSc or BSc) or completed scientific apprenticeship with hands-on laboratory experienceActive certification for animal experimentation (e.g., LTK1, FELASA, or equivalent)Proven hands-on experience with rodent work, including intravenous injections and blood samplingAbility to independently design, execute, and manage in vivo studies from start to finishExperience with molecular or biochemical assays relevant to hemostasis, thrombosis, or gene therapyStrong ability to plan experiments, analyze data, and interpret scientific resultsFluency in English with clear communication skillsHighly organized, proactive, and team-oriented mindset with strong reliability and attention to detail Opportunity to contribute directly to translational gene therapy research with high scientific impactHands-on work with a combination of in vivo, ex vivo, and molecular biology techniquesCollaborative environment with close teamwork and modern laboratory infrastructureDiverse and meaningful daily tasks involving both preclinical models and human biological samples Ihr Kontakt Referenznummer 865654/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Roles & Responsibilities Responsible for budget, time and quality within own area of responsibility Active collaboration with involved SubPMs, Project Leads and project engineers, support exchange of information, strengthen collaboration Drive requirement engineering in own area of responsibility Actively promoting the model-based engineering process for C&P design Development of C&P design concepts in own area of responsibility Acts as a driver for the implementation of Best Practices and Lessons Learned in the project Responsible, Accountable and Contributing as defined in the RACI matrix for projects and offers Tracking of issues and deviations as well as initiating mitigations from tender until acceptance in own area of responsibility Works in projects and offers Analysis of the Customer specification with focus on the technical requirements on the C&P Hardware in view of the variations from our standard, the feasibility and the necessary tests.
Qualification Checklist: University degree (or equivalent) in engineering or a related fieldRelevant professional experienceHands-on experience with hardware testing according to space standards in one or more of the following domains: thermal vacuum, mechanical, or EMCProficiency in handling technical requirements (writing, reviewing, and interpreting)Strong conceptual thinking and problem-solving skillsBasic understanding of requirements engineeringExperience in test data post-processing and interpretationFluency in English (written and spoken) Bonus Qualifications: Hands-on experience with (thermal) vacuum systems and knowledge of how to design, procure, and operate these systems.Hands-on experience with mechanical testing, including preparation of tests, use of acceleration sensors, and test executionExperience with commercial data acquisition hardware and software Benefits: Join an innovative space-tech start-up with real impact on strategy and growthCollaborate globally and work hands-on with cutting-edge research and technologyEnjoy a flexible, agile work environment with 30 days of vacation and remote work optionsAccess top industry events, continuous learning, and professional developmentBenefit from relocation assistance to support your move, if requiredBe part of a supportive team with room to grow as we scale together Ihr Ansprechpartner Dr.
We are currently looking for a skilled Senior Quality Assurance Engineer (m/f/d) to join the Checkout Unit onsite in Hamburg or Berlin. What you will do: Focus on the design, development, and execution of automated end-to-end tests Manage and prioritize bug reports, keeping their business value in mind Lead regression testing, identify and resolve defects to ensure the stability of high-traffic customer interactions and transactions Analyze complex workflows, data flows, and database interactions to identify potential areas for improvement in test coverage and performance Report bugs and reproduce them throughout the complete bug cycle Coordinate testing efforts to ensure the delivery of quality features Advocate for product quality within cross-functional teams Contribute to ABOUT YOU’s long-term automation strategy in testing Who you are: 4+ years of experience in QA, testing, and debugging REST backend applications, with strong knowledge of HTTP methods, status codes, headers, and error handling Proficient in API validation against OpenAPI/Swagger specifications 4+ years of experience with JavaScript/TypeScript or other OOP languages, using frameworks like Mocha/Playwright, and GitlabCI 2+ years of experience working with relational and NoSQL databases, focusing on integration and data flows Passionate about automation and building maintainable test suites that provide continuous feedback, with strong skills in both exploratory and automated testing Experienced with agile methodologies Excellent communication skills, including fluent written and spoken English for clear collaboration Solid understanding of transaction systems, gateways, customer data, and large-scale database structures Committed to identifying and addressing issues early, ensuring high-quality customer-facing features and services Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Company parties Help in the relocation process Mobility subsidy Central Location Flexible Working Hours Professional training Dog-friendly office Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are.
This position offers full remote flexibility within Germany, with regular collaboration in a supportive team setup. Your Tasks: Drive the design, implementation, and optimization of SAP HCM/ SuccessFactors processes, especially in the areas of payroll and time management Support and continuously improve existing solutions, including payroll, time management, integrations, and Fiori apps Ensure high-quality 2nd-level support following ITIL standards Depending on experience: lead workstreams or (sub-)projects and manage internal and external stakeholders Expand your knowledge in SAP Fiori and Cloud Platform Integration (CPI) by actively contributing to ongoing projects Your Profile: Degree in (Business) Informatics or comparable education/qualification Several years of relevant experience in SAP HCM consulting – particularly in payroll and time management Expertise in SAP HCM on-premise; knowledge of SAP Fiori and ideally SuccessFactors Experience in interface handling (IDOCs, CPI) is a plus Strong communication and collaboration skills in an international context Fluent in English; German or Spanish skills are a bonus YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
This position offers full remote flexibility within Germany, with regular collaboration in a supportive team setup. Your Tasks: Drive the design, implementation, and optimization of SAP HCM/ SuccessFactors processes, especially in the areas of payroll and time management Support and continuously improve existing solutions, including payroll, time management, integrations, and Fiori apps Ensure high-quality 2nd-level support following ITIL standards Depending on experience: lead workstreams or (sub-)projects and manage internal and external stakeholders Expand your knowledge in SAP Fiori and Cloud Platform Integration (CPI) by actively contributing to ongoing projects Your Profile: Degree in (Business) Informatics or comparable education/qualification Several years of relevant experience in SAP HCM consulting – particularly in payroll and time management Expertise in SAP HCM on-premise; knowledge of SAP Fiori and ideally SuccessFactors Experience in interface handling (IDOCs, CPI) is a plus Strong communication and collaboration skills in an international context Fluent in English; German or Spanish skills are a bonus YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. Do you want to take an active role in changing wind energy infrastructure?
Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. Do you want to take an active role in changing wind energy infrastructure?
Strong Experience in Monitoring and Observability of the infrastructure (Datadog preferred) and vulnerabilities discovery and tracking with tools such us Falco, Guardduty Strong experience in architectural design for cloud optimized applications Fluent in English both spoken and written Nice to have: AWS or K8s certifications Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
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.
Mein Arbeitgeber Fire Point Rocket Technology (FPRT) is a defense technology company at the intersection of advanced chemistry and modern rocket propulsion. We design and manufacture solid rocket fuel and propulsion components that power next generation defense systems, with a strong focus on safety, quality, and compliance.
Mein Arbeitgeber Fire Point Rocket Technology (FPRT) is a defense technology company at the intersection of advanced chemistry and modern rocket propulsion. We design and manufacture solid rocket fuel and propulsion components that power next generation defense systems, with a strong focus on safety, quality, and compliance.
As part of our team, you will take on the following responsibilities: You take primary responsibility for monitoring our network components as well as for preliminary analyses and the independent handling of change and incident tickets.You introduce new systems and solutions in the network environment and work closely with our Senior Infrastructure Architect.You design, plan, and implement modern Zero Trust–based network infrastructure technologies.You develop and document technical designs for new hardware and software solutions.You evaluate new and alternative technologies and provide well‑founded recommendations to support our corporate objectives.You create admin guides and ensure a structured handover of new or modified solutions to the operations teams.You advise internal IT teams, actively manage knowledge, continuously develop existing services, and coordinate external partners and service providers.You support the onboarding of new colleagues, including apprentices, students, and interns, and enjoy sharing your knowledge.
DKV is the full‑service provider in the field of eMobility, offering tailor‑made solutions for electric vehicles: from charging infrastructure to planning and design, from consultancy to installation and electricity products. As a Customer Support Representative, you are the coordinator and take ownership of our service delivery.
What makes you stand out You hold a Bachelor’s or Master’s degree in Business Administration, Business Informatics, Business Analytics, or Industrial Engineering.You bring strong statistical and process expertise.You have 4–6 years of experience in Inside Sales Operations or Contact Center Analytics.You have expertise in KPI governance, routing and scoring design, end-to-end pipeline management, and pan-European harmonization.You are proficient in Power BI (including DAX, RLS, and data modeling) and Power Query.You are familiar with Genesys Cloud (routing/analytics) and Dynamics 365 (workflows/CRM).You have experience with SQL/Snowflake.You are skilled in lead scoring and qualification, routing efficiency, pipeline conversion, system readiness for campaigns, and review and action management.You excel at cross-functional stakeholder management and communicate clearly and precisely.You drive process harmonization, enablement, and change management.You are fluent in German and English, both written and spoken.
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.