9 data analytics jobs found in Munich

YOUR TASKS You will support the preparation and execution of projects related to Risk Management, Identity & Access Management, DevSecOps and AI Security for our clients. You will be involved in the development and implementation of security strategies and solutions. You will work on internal research and development projects in the field of cybersecurity. You document safety measures, create reports, and present results. You will support the team in the practical development of innovative ideas and topics in the field of cybersecurity. You conduct research tasks to prepare customer presentations and proposals. YOUR PROFILE You are enrolled in a degree program with a preferably IT focus, e.g., (Business) Informatics, Software Development, Data Science, Data Engineering, or related disciplines. You have good knowledge in the field of IT security. Ideally, you have already gained initial experience with common security tools and regulations...

YOUR TASKS You advise clients on the further development of their cybersecurity strategy with a focus on governance, risk & compliance as well as regulatory requirements in the European environment. You will support the classification, evaluation and implementation of regulatory initiatives such as eIDAS 2.0, NIS2, DORA or related EU regulations in the context of existing IT and security structures. You will assist clients in analyzing and assessing cyber and IT risks and derive practical recommendations for risk minimization. You develop and refine governance, policy and control concepts for cybersecurity, identities and access management – ​​tailored to the organization, maturity level and business model. You design, organize, and moderate workshops, assessments, and management formats on topics such as EUDI wallets, identity and trust services, cyber GRC, or regulatory compliance. You will take responsibility for IT and cybersecurity projects, coordinate...

YOUR TASKS You will support the integration of (generative) AI technologies into existing application software or develop new, innovative solutions with AI components together with the team. You will assist in the analysis and preparation of data specifically for (generative) AI use cases. You will support the evaluation and optimization of software with AI components, especially with frameworks like LangChain, as well as through the use of APIs like OpenAI or Ollama. You will provide support in cloud-native development projects with a focus on AI-powered software solutions. You will support the integration and use of AI-compatible database systems (e.g., relational, vector, or graph databases) for AI applications. You research new technologies and methods in the field of (generative) AI (e.g., ModelContextProtocol, agent technologies and modern AI integration frameworks). YOUR PROFILE You are enrolled in a degree program with AI content and have a...

About Us Do you want to advance your career and collaborate with experienced, talented colleagues to successfully solve our customers' most pressing challenges? We are continuing to grow and are looking for dedicated individuals to strengthen our team. You will become part of a dynamic, rapidly growing company with over 300,000 employees. Our dynamic organization allows you to work across disciplines and contribute your ideas, experience, creativity, and goal orientation. Are you ready? About your role As   a Consultant / Senior Consultant in the field of Data Engineering & Data Science,   you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle – from data acquisition and transformation through analytics and machine learning to productive operation. You will work closely with data engineers, architects, data scientists and subject matter experts to...

Team: Marketing Job Location: Munich, Germany Position Type: Permanent, Full-time Work Flexibility: Hybrid, Onsite Role Overview We are looking for a highly analytical and adaptable professional to strengthen our planning and forecasting capabilities. In this role, you will own the development and optimization of forecasting models, improve planning processes for efficiency and accuracy, and provide ad-hoc analyzes to support operational decision-making. Your work will ensure that planning remains closely connected to real business dynamics, bridging strategic foresight with operational insights. Collaboration with the core business units (Markets, Supply, Finance, Onsite and Data) will be your daily business. Location & Work Model This position is based in Munich, one of Germany's most dynamic business hubs. We are looking for a candidate who is either already located in the Munich area or willing...

Our data science team drives demanding data and machine learning projects in the media sector. As a TV broadcaster and digital media company, we use machine learning for content analysis, content automation, quality assurance, and planning automation in our content hub. Artificial intelligence is a key component of RTLZWEI's corporate strategy. The department's core task is the integration of self-hosted ML models as well as foundational models (e.g., ChatGPT or multimodal LLMs) into agent-based workflows for content creation and distribution. TASKS You develop, evaluate, and operate multimodal agentic workflows based on computer vision, NLP, and especially multimodal large-language models. Together with cloud experts, data scientists and data engineers, you will integrate AI models into our content hub. Together with our architects, you will implement container- and cloud-based solutions (e.g., Docker, Kubernetes, EKS) to deliver our machine learning services. You...

Keeps Linux infrastructure secure, stable, and running smoothly, so teams can focus on building instead of firefighting. Area of ​​responsibility and duties Operation, maintenance and continuous optimization of the on-premises cloud as well as other internal project services Design, implementation and maintenance of modular Infrastructure-as-Code solutions with Terraform, including planning, status management and versioning. Development and maintenance of automation tools using Python, Bash and Ansible Operation, maintenance and troubleshooting of Ceph storage systems Responsibility for monitoring, observability and alerting with Prometheus, Grafana and Loki Application and further development of security fundamentals such as vulnerability analysis, SAST, access controls, 2FA, VPN and network security Maintaining documentation and best practices, as well as training new team members Supporting other development teams with infrastructure and operational...

A DevOps Engineer at Verimatrix is responsible for the creation, deployment and operations of a large product suite that enables content protection and security for video delivered via satellite, cable or the Internet. The DevOps Engineer leads with his/her teammates to build, test, deliver, and monitor high-performing, scalable, high-quality products. In this role, the Engineer will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, and build and maintain tools for deployment, monitoring and operations. A successful Engineer will be proactive, interactive, creative and flexible. Responsibilities and Duties: Defining features, solution requirements and specifications according to which the solution is defined, managed, and delivered. Describing the structure, characteristics, behavior, estimated budget and other aspects of software to project stakeholders. Lead project specific...

Your tasks Development and enhancement of reliable data platforms and architectures in agile customer projects Precise control through the multitude of tools and methods surrounding data architectures, on-premise and in the cloud. Consistent integration and rationalization of different data streams across different systems Goal-oriented collaboration with our software engineers and cloud architects to ensure a successful project. Your profile Excellent knowledge of modern data architectures, platforms, technologies and paradigms Strong awareness of data quality (Data Strategy, Data Governance) Basic cloud knowledge (AWS and Azure) as well as IaC and Terraform Good experiences with SaaS offerings such as Databricks or Snowflake Excellent knowledge of Spark, Python and SQL Excellent analytical skills and understanding of complex technical issues Efficient, results-oriented work style and a strong service and customer focus Very good German and...