Fluent languages skills in German on at least C1 level and good command of English. Computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. Effective communication, organizational and planning skills.
As part of our team, you will take on the following responsibilities: You are responsible for the stable operation and continuous development of our Microsoft 365 environment, including Intune, Teams, SharePoint, OneDrive, Copilot, and related services.You actively contribute to the introduction of new features, technologies, and use cases within the Modern Workplace environment and support them from planning through to operational handover.You automate and standardize processes using PowerShell and Microsoft Graph to ensure efficiency, quality, and scalability.You ensure that our systems consistently comply with applicable security, compliance, and governance requirements.You work closely with internal stakeholders, support rollouts, and contribute to high user adoption through training, documentation, and enablement activities. What makes you stand out You hold a degree in computer science or have a comparable technical qualification.You have experience in operating and further developing Microsoft 365 services and feel confident in modern workplace environments.You bring solid knowledge of Entra ID (Azure AD), Intune, Conditional Access, Microsoft Teams, and SharePoint Online.You have hands‑on experience in PowerShell scripting and ideally in working with Microsoft Graph.You are interested in topics such as automation, security, governance and are motivated to further develop your skills in these areas.You work in a structured, self‑reliant manner and enjoy collaborating in a team.You have very good German and English skills, both written and spoken.
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.
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!
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions. What makes you stand out Degree in Computer Science or a related field.4+ years of experience in agile software development with solid understanding of the full engineering lifecycle.Hands-on experience with: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers and Agentic AI systemsDesigning, building, and deploying advanced AI solutionsExperience with AI cloud platforms (e.g., Azure AI Foundry) and/or conversational AI platforms (e.g., Cognigy).DevOps experience, ideally within Microsoft Azure (ADO).Programming experience in at least one high-level language such as Python, Java, or TypeScript.Experience developing microservices using frameworks like Flask, Django, or Spring (Java).
What makes you stand out Proven experience in RPA development (minimum 3 years) using tools like UiPath, Automation Anywhere, or Blue Prism.Strong programming skills in languages such as C#, .NET, Java, or Python.Knowledge of software development methodologies, Agile frameworks, and version control.Experience with process mapping and business process analysis.Strong problem-solving and debugging skills.Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.Bachelor’s degree in Computer Science, Information Technology, or a related field. What we offer: Attractive benefits packageRegina Maria medical subscription for you and your family according with internal policeMeal vouchersSpecial discounts for gymsAdditional days offDKV card with discount for fuel valid in 25 countriesWhen you are in the office can have free facilities like massage, fruits, coffeeFlexible working hours with home office and flextimeContinuous training and much more...
What makes you stand out Strong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.Experience working in agile environments.Strong analytical mindset and proactive problem-solving approach.Strong communication, presentation skills both in terms of technology and managementDegree in Computer Science, Business Informatics or relevant field We are looking forward to your application and to applicants who enrich our diverse culture!
What makes you stand out You hold a Bachelor's or Master's degree in Computer Science, IT, or a comparable technical qualification.You bring solid professional experience in cloud engineering – especially with Kafka and Kubernetes.You ideally have relevant certifications in cloud technologies or cloud architecture.You communicate clearly, proactively, and with strong structure – both in technical discussions and in cross‑team collaboration.You can explain complex technical topics in an understandable way, promote active knowledge sharing, and support others with an open and cooperative mindset.You have very good English skills; German is an advantage but not essential.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services Products you need to be familiar with •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.