Technische Tiefe: Fundierte Kenntnisse in SAP ABAP/ABAP OO, SAP Fiori, Fiori Elements, CoreData Services, OData und dem ABAP RESTful Application Programming Model (RAP) setzt du zielgerichtet für maßgeschneiderte Defense-Lösungen ein.
Technische Tiefe: Fundierte Kenntnisse in SAP ABAP/ABAP OO, SAP Fiori, Fiori Elements, CoreData Services, OData und dem ABAP RESTful Application Programming Model (RAP) setzt du zielgerichtet für maßgeschneiderte Defense-Lösungen ein.
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Since 2016, Mercedes-Benz Connectivity Services GmbH has been connecting the automotive and digital world around the connected vehicle: With innovative data-based solutions, the subsidiary of Mercedes-Benz AG enables its B2B customers to make business processes more efficient, improve customer experiences or develop new business models. It is based on real-time data from measuring points and signals inside and outside of Mercedes-Benz vehicles worldwide. This data is used to generate added value for products and processes in companies from a wide range of industries. The secure and responsible handling of data is hereby the basis for the acceptance of services around connected driving. The Stuttgart-based company has about 85 employees working on the development, operation and sales of digital data-based products.
Since 2016, Mercedes-Benz Connectivity Services GmbH has been connecting the automotive and digital world around the connected vehicle: With innovative data-based solutions, the subsidiary of Mercedes-Benz AG enables its B2B customers to make business processes more efficient, improve customer experiences or develop new business models. It is based on real-time data from measuring points and signals inside and outside of Mercedes-Benz vehicles worldwide. This data is used to generate added value for products and processes in companies from a wide range of industries. The secure and responsible handling of data is hereby the basis for the acceptance of services around connected driving. The Stuttgart-based company has about 85 employees working on the development, operation and sales of digital data-based products.
Developing and evolving our enterprise architecture vision with a strong focus on internal IT and ERP systems like SAP ECC, Microsoft Dynamics and other core business process systems including Lead to Order, Order to Cash incl. * Proven experience with Enterprise IT architecture in a large-scale enterprise environment across a large number of core business process systems (ERP). * Strong knowledge of various technologies and platforms e.g., cloud computing, on-big data, AI, IoT).
Developing and evolving our enterprise architecture vision with a strong focus on internal IT and ERP systems like SAP ECC, Microsoft Dynamics and other core business process systems including Lead to Order, Order to Cash incl. * Proven experience with Enterprise IT architecture in a large-scale enterprise environment across a large number of core business process systems (ERP). * Strong knowledge of various technologies and platforms e.g., cloud computing, on-big data, AI, IoT).
Tackling tasks: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. * Taking responsibility: Compliance & Data Protection: Implement and manage Microsoft Purview for data loss prevention (DLP), eDiscovery, and sensitive information labeling to meet international regulatory requirements * Driving Progress: AI & Innovation: Lead the technical assessment and implementation of Microsoft 365 Copilot and other AI-driven features, including preparation of the data layer (SharePoint/OneDrive) for AI readiness and managing extensibility * Know-how: Deep expertise in the "Modern Workplace" stack: Teams, SharePoint and Exchange Online; Strong command of Microsoft Entra ID and Intune (Endpoint Manager); practical experience with ...
Tackling tasks: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. * Taking responsibility: Compliance & Data Protection: Implement and manage Microsoft Purview for data loss prevention (DLP), eDiscovery, and sensitive information labeling to meet international regulatory requirements * Driving Progress: AI & Innovation: Lead the technical assessment and implementation of Microsoft 365 Copilot and other AI-driven features, including preparation of the data layer (SharePoint/OneDrive) for AI readiness and managing extensibility * Know-how: Deep expertise in the "Modern Workplace" stack: Teams, SharePoint and Exchange Online; Strong command of Microsoft Entra ID and Intune (Endpoint Manager); practical experience with ...
Define, maintain, and further develop the target architecture for core enterprise systems * Define API strategies, data models, and middleware solutions * Take ownership of architecture decisions within core platforms * Knowledge of cloud architectures and modern data platforms
Define, maintain, and further develop the target architecture for core enterprise systems * Define API strategies, data models, and middleware solutions * Take ownership of architecture decisions within core platforms * Knowledge of cloud architectures and modern data platforms
The next level of digital experience is expected to become a decisive value driver and core selling point. * Supporting the preparation and analysis of sales and performance data * Strong analytical mindset and interest in working with data
The next level of digital experience is expected to become a decisive value driver and core selling point. * Supporting the preparation and analysis of sales and performance data * Strong analytical mindset and interest in working with data
Stuttgart, München, Hamburg, Berlin, Frankfurt am Main
Develop top line strategies around market entry (e.g. M&A, technology and engineering roadmaps) and new business models (e.g. satellite-as-a-service, space data monetization) * Overview of core space domains and applications around earth observation, satellite communication, satellite navigation, and space transportation
Develop top line strategies around market entry (e.g. M&A, technology and engineering roadmaps) and new business models (e.g. satellite-as-a-service, space data monetization) * Overview of core space domains and applications around earth observation, satellite communication, satellite navigation, and space transportation
Architekturdesign: End-to-End-Architekturen mit SAP AI Core/Launchpad, Joule Studio (Skills, Agents) und SAP BTP konzipierst und integrierst du nahtlos in S/4HANA-Landschaften. * Qualifikation: Ein abgeschlossenes Studium der (Wirtschafts-)Informatik, Data Science, Computer Science oder eine vergleichbare Qualifikation bildet deine Basis. * SAP & Cloud-KI-Plattformen: Du hast praktische Erfahrung mit SAP BTP und SAP AI Core/Launchpad oder mit vergleichbaren Cloud-KI-Plattformen (z. B. Azure OpenAI, Vertex AI) und bist bereit, dich tief in das SAP-Ökosystem einzuarbeiten.
Architekturdesign: End-to-End-Architekturen mit SAP AI Core/Launchpad, Joule Studio (Skills, Agents) und SAP BTP konzipierst und integrierst du nahtlos in S/4HANA-Landschaften. * Qualifikation: Ein abgeschlossenes Studium der (Wirtschafts-)Informatik, Data Science, Computer Science oder eine vergleichbare Qualifikation bildet deine Basis. * SAP & Cloud-KI-Plattformen: Du hast praktische Erfahrung mit SAP BTP und SAP AI Core/Launchpad oder mit vergleichbaren Cloud-KI-Plattformen (z. B. Azure OpenAI, Vertex AI) und bist bereit, dich tief in das SAP-Ökosystem einzuarbeiten.
KI-Services produktiv machen: Du entwickelst und deployst KI-Services auf SAP AI Core und SAP AI Launchpad und integrierst externe KI-Plattformen wie Azure OpenAI, Google Vertex AI oder Anthropic. * Qualifikation: Ein abgeschlossenes Studium der (Wirtschafts-)Informatik, Data Science, Computer Science oder eine vergleichbare Qualifikation bildet deine Basis.
KI-Services produktiv machen: Du entwickelst und deployst KI-Services auf SAP AI Core und SAP AI Launchpad und integrierst externe KI-Plattformen wie Azure OpenAI, Google Vertex AI oder Anthropic. * Qualifikation: Ein abgeschlossenes Studium der (Wirtschafts-)Informatik, Data Science, Computer Science oder eine vergleichbare Qualifikation bildet deine Basis.
As the Tech Lead for Software Engineering, you will be the core leader responsible for the technical success of our SW & AI industrial application. Core Responsibilities * Architect and Design: You will lead the technical design of our end-to-end cloud applications, including architecture for the backend, frontend, data engineering pipelines, and cloud infrastructure. * AI Integration Familiarity: A solid understanding of the AI lifecycle (data engineering, MLOps, deployment) is a significant advantage, ensuring seamless collaboration with the AI team.
As the Tech Lead for Software Engineering, you will be the core leader responsible for the technical success of our SW & AI industrial application. Core Responsibilities * Architect and Design: You will lead the technical design of our end-to-end cloud applications, including architecture for the backend, frontend, data engineering pipelines, and cloud infrastructure. * AI Integration Familiarity: A solid understanding of the AI lifecycle (data engineering, MLOps, deployment) is a significant advantage, ensuring seamless collaboration with the AI team.
The design and development of innovative safety contracts will be your core focus, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems. * Using machine learning, you will derive feasibility margins, uncertainties, and the safety contracts themselves from real-world data.
The design and development of innovative safety contracts will be your core focus, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems. * Using machine learning, you will derive feasibility margins, uncertainties, and the safety contracts themselves from real-world data.
Want to build the data infrastructure that will power the global evolution of digital construction? Trimble is looking for a skilled Data Platform Engineer to join our engineering team. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste. * Implement RESTful OpenAPI spec APIs, data models, and asynchronous processing systems * Write Python scripts for automation, testing, data analysis, or integration tasks * Collaborate with frontend developers, DevOps engineers, and data teams * 5+ years of experience in big data platform development, 10+ years of software development experience. At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're ...
Want to build the data infrastructure that will power the global evolution of digital construction? Trimble is looking for a skilled Data Platform Engineer to join our engineering team. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste. * Implement RESTful OpenAPI spec APIs, data models, and asynchronous processing systems * Write Python scripts for automation, testing, data analysis, or integration tasks * Collaborate with frontend developers, DevOps engineers, and data teams * 5+ years of experience in big data platform development, 10+ years of software development experience. At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're ...
Core Responsibilities * Mentor and Coach: You will provide strong technical guidance and mentorship, coaching to foster their growth and elevate the team's capabilities in machine learning and data science best practices. * Leadership Experience: Proven experience in a technical leadership capacity, with a strong track record of leading and mentoring AI/data science teams and successfully delivering complex projects. * Time-Series Expertise: Deep expertise in developing ML solutions for time-series, sensor, or industrial IoT data, including hands-on experience with at least two of the following: anomaly detection, classification, concept drift detection, or explainable AI.
Core Responsibilities * Mentor and Coach: You will provide strong technical guidance and mentorship, coaching to foster their growth and elevate the team's capabilities in machine learning and data science best practices. * Leadership Experience: Proven experience in a technical leadership capacity, with a strong track record of leading and mentoring AI/data science teams and successfully delivering complex projects. * Time-Series Expertise: Deep expertise in developing ML solutions for time-series, sensor, or industrial IoT data, including hands-on experience with at least two of the following: anomaly detection, classification, concept drift detection, or explainable AI.
Sie bringen mehrjährige Berufserfahrung in einem oder mehreren der folgenden Bereiche mit: Enterprise Architecture, Information Management, Knowledge Management, Data Governance, Business Process Management oder AI Governance. * Sie arbeiten in einem agilen, interdisziplinären Core Team mit kurzen Entscheidungswegen und hoher Eigenverantwortung.
Sie bringen mehrjährige Berufserfahrung in einem oder mehreren der folgenden Bereiche mit: Enterprise Architecture, Information Management, Knowledge Management, Data Governance, Business Process Management oder AI Governance. * Sie arbeiten in einem agilen, interdisziplinären Core Team mit kurzen Entscheidungswegen und hoher Eigenverantwortung.
Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. Want to build the data infrastructure that will power the global evolution of digital construction? You'll collaborate closely with global, cross-functional teams to deliver robust APIs, efficient data processing pipelines, and seamless integrations across platforms. * Design, develop, and maintain geospatial backend services using C# (.NET Core / .NET 6+) * Implement RESTful OpenAPI spec APIs, data models, and asynchronous processing systems * Write Python scripts for automation, testing, data analysis, or integration tasks * Collaborate with frontend developers, DevOps engineers, and data teams * 6+ years of experience in backend development using C# and .NET Core
Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. Want to build the data infrastructure that will power the global evolution of digital construction? You'll collaborate closely with global, cross-functional teams to deliver robust APIs, efficient data processing pipelines, and seamless integrations across platforms. * Design, develop, and maintain geospatial backend services using C# (.NET Core / .NET 6+) * Implement RESTful OpenAPI spec APIs, data models, and asynchronous processing systems * Write Python scripts for automation, testing, data analysis, or integration tasks * Collaborate with frontend developers, DevOps engineers, and data teams * 6+ years of experience in backend development using C# and .NET Core
The ideal candidate blends data-driven analytical expertise with a hands-on mentality to optimize the digital conversion funnel. * Take full accountability for targets and Core KPIs, including ROAS, CAC, MER, and profitability.
The ideal candidate blends data-driven analytical expertise with a hands-on mentality to optimize the digital conversion funnel. * Take full accountability for targets and Core KPIs, including ROAS, CAC, MER, and profitability.
Erfahrung im Design und Betrieb großer, verteilter Netzwerkinfrastrukturen (Multi‑Site, Campus, Data Center) - Switching‑Landschaften (Core, Distribution, Access)
Erfahrung im Design und Betrieb großer, verteilter Netzwerkinfrastrukturen (Multi‑Site, Campus, Data Center) - Switching‑Landschaften (Core, Distribution, Access)
Nach deinem erfolgreichen Abschluss bist du bestens auf eine verantwortungsvolle Rolle in unserem Unternehmen vorbereitet, sei es als KI-Experte oder Data Scientist.
Nach deinem erfolgreichen Abschluss bist du bestens auf eine verantwortungsvolle Rolle in unserem Unternehmen vorbereitet, sei es als KI-Experte oder Data Scientist.
Nach deinem erfolgreichen Abschluss bist du bestens auf eine verantwortungsvolle Rolle in unserem Unternehmen vorbereitet, sei es als KI-Experte oder Data Scientist.
Nach deinem erfolgreichen Abschluss bist du bestens auf eine verantwortungsvolle Rolle in unserem Unternehmen vorbereitet, sei es als KI-Experte oder Data Scientist.
Dann werde für 6 Monate Teil unseres Teams im Bereich Digitale Marketing-Aktivierung mit einem Fokus auf Data Science/KI und sammle wertvolle Praxiserfahrung in einem dynamischen, internationalen Umfeld. * Immatrikuliert in einem Studiengang mit ersten Berührungspunkten zu den Themenfelder Projektmanagement, Informatik, Statistik oder Data Science
Dann werde für 6 Monate Teil unseres Teams im Bereich Digitale Marketing-Aktivierung mit einem Fokus auf Data Science/KI und sammle wertvolle Praxiserfahrung in einem dynamischen, internationalen Umfeld. * Immatrikuliert in einem Studiengang mit ersten Berührungspunkten zu den Themenfelder Projektmanagement, Informatik, Statistik oder Data Science
in einem quantitativen oder technischen Fach ausgebildet, zum Beispiel Data Science, Statistik, Mathematik oder (Wirtschafts-)Informatik, und/oder bringst mehrere Jahre relevante Berufserfahrung im Data-Analytics-Umfeld mit * vertraut mit modernen Cloud-, Data-Warehouse- und ETL-/ELT-Ansätzen, idealerweise in Azure oder vergleichbaren Plattformen
in einem quantitativen oder technischen Fach ausgebildet, zum Beispiel Data Science, Statistik, Mathematik oder (Wirtschafts-)Informatik, und/oder bringst mehrere Jahre relevante Berufserfahrung im Data-Analytics-Umfeld mit * vertraut mit modernen Cloud-, Data-Warehouse- und ETL-/ELT-Ansätzen, idealerweise in Azure oder vergleichbaren Plattformen
Stuttgart, Frankfurt am Main, München, Hamburg, Dresden, Köln, Berlin
Teilweise Home-Office
Schnelle Bewerbung
Für die Gesamtverantwortung anspruchsvoller, hochkomplexer Industrieprojekte, insbesondere mit Fokus auf Data Center Hyperscaler oder der Halbleiterbranche suchen wir eine Führungspersönlichkeit, die Verantwortung übernimmt, Projekte zum Erfolg führt und echte Hands-on-Mentalität mitbringt. * Gesamtverantwortung für hochkomplexe und großvolumige EPCM-Projekte mit Fokus auf Hightech-Industrie-Gebäude und Großanlagen, wie z.B. Data Center Hyperscaler oder Semiconductor Manufacturing
Für die Gesamtverantwortung anspruchsvoller, hochkomplexer Industrieprojekte, insbesondere mit Fokus auf Data Center Hyperscaler oder der Halbleiterbranche suchen wir eine Führungspersönlichkeit, die Verantwortung übernimmt, Projekte zum Erfolg führt und echte Hands-on-Mentalität mitbringt. * Gesamtverantwortung für hochkomplexe und großvolumige EPCM-Projekte mit Fokus auf Hightech-Industrie-Gebäude und Großanlagen, wie z.B. Data Center Hyperscaler oder Semiconductor Manufacturing
Für unseren Bereich Digitale Transformation suchen wir ab August einen Werkstudenten (w/m/d) Digitale Transformation (Data Analytics Application) * Du unterstützt das Data- und AI-Team bei der Entwicklung und dem Ausbau unserer Power-BI-Reportinglandschaft. * Du bist Studierender (w/m/d) in einem Studiengang mit Schwerpunkt Wirtschaftsinformatik, BWL, Data Science, Statistik oder in einem vergleichbarem Fach.
Für unseren Bereich Digitale Transformation suchen wir ab August einen Werkstudenten (w/m/d) Digitale Transformation (Data Analytics Application) * Du unterstützt das Data- und AI-Team bei der Entwicklung und dem Ausbau unserer Power-BI-Reportinglandschaft. * Du bist Studierender (w/m/d) in einem Studiengang mit Schwerpunkt Wirtschaftsinformatik, BWL, Data Science, Statistik oder in einem vergleichbarem Fach.