Your responsibilities
- Design, implement and maintain data ingestion, transformation and provisioning
- Design data models and data architecture for effective data processing and storage
- DataOps: orchestrate and monitor data load processes, ensure data quality
- Support Machine Learning Operations (MLOps) with high-quality data products
- Create and maintain documentation
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Deine Aufgaben
- Montage, Inbetriebnahme, Übergabe und Abnahme unserer Parkraumlösungen
- Störungsbehebung vor Ort und remote
- Durchführung von Umbauten und Erweiterungen sowie deren Dokumentation
- Regelmäßige Wartung und Optimierung bestehender Anlagen
- Ansprechpartner*in für internationale Kundenanfragen – von der Analyse bis zur Lösung
- Implementierung neuer Innovationen (z. B. Ticketless Parking, 3rd-Party-Anbindungen)
- Arbeit in modernen IT-Umgebungen (Cloud, Server, Cluster, VM)
- Enge Zusammenarbeit mit Entwicklung, Sales und Projektmanagement
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Deine Aufgaben bei uns:
- Begrüßung der Messebesucher
- Betreuung der Infopoints in Anwendung unseres Computerprogrammes/Eingabe von Besucherdaten
- Kontrolle von Registrierungen und Weitergabe von Informationen an Messebesucher
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RESPONSIBILITIES
- Minimum of 4 years of professional experience in the IT field, preferably in a consulting or cross-functional role
- Strong governance skills with a structured, conceptual approach
- Advanced data analysis capabilities to support fact-based decision-making
- Solid understanding of IT management processes and financial aspects
- Proven experience in communicating with senior leadership and external partners
- Excellent stakeholder management skills in English and preferably in German
- Persistence, proactivity, and flexibility in solving complex and abstract problems
- Excellent interpersonal skills for collaboration in an informal team-oriented culture
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RESPONSIBILITIES
- Experience in user research and talking to stakeholders to bridge the gap between the problem of a user and actual AI implementation options
- Proven experience in developing AI-powered solutions, from research to production-ready implementation.
- Strong foundation in modern AI/ML frameworks, patterns and tooling, especially in Generative AI, covering concepts like prompt engineering, RAG, LLM as a judge, fine-tuning, and so on.
- Familiarity with cloud platforms (preferrable AWS) and LLMOps & MLOps pipelines for deploying and scaling AI solutions.
- Expertise in model optimization and evaluation techniques to build robust AI workflows.
- Solid skills in Python (or other relevant languages) and practical experience in applying modern software engineering patterns (like version control systems, merge requests, pair-/mob-programming, testing)
- Strong interest and basic knowledge about Agentic AI and agentic architectures
- Strong communication skills, able to explain technical solutions to non-technical audiences.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Affinity for media and broadcast domain is a plus
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YOUR RESPONSIBILITIES
- Design user-centered digital products, from the initial idea to the final interface, and translate requirements into clear, intuitive user interfaces
- Analyze requirements in a structured way and create and communicate implementation concepts
- Collaborate closely with customers and colleagues, to develop structured information architectures, interactive prototypes, and consistent design systems
- Drive cross-functional collaboration to ensure alignment between business needs and technical solutions
- Establish and grow a “Community of Practice” across relevant organizational units to share knowledge and best practices
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RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
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RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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RESPONSIBILITIES
- Extensive Project Management experience - Highly skilled in structuring, facilitating, and leading meetings and workshops to align diverse stakeholders, foster collaboration, and achieve actionable outcomes
- Expertise in leading complex end-to-end process design and conceptual discussions to streamline workflows, mitigate risks, and deliver innovative solutions.
- Comprehensive knowledge of end-to-end processes in Finance (Operations, and Sales is a plus), with particular experience in the FMCG industry. Proficient in systems such as SAP ERP FI/CO, Arriba, X-Suite, BIS, Provisions & Payables, E-invoicing, EDI Interfaces, Liquidity Forecast, and related business processes and data structures.
- Highly experienced in gathering, challenging, and translating business requirements to system integration concepts
- Creative problem-solving and adaptability
- System affinity, conceptual strength and holistic view
- Strong analytical skills, solution- and process oriented, structured, assertiveness, communicative and collaborative, team player, able to work under pressure and self-dependently
- Strong communication and presentation skills
- End to End Operations know-how, FMCG environment preferred
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RESPONSIBILITIES
- 5+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Programming: proficient in at least one of R, Python, SQL with the ability and willingness to learn the other two.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Project Management: able to navigate evolving requirements, prioritise effectively, and scope work in a way that balances impact, effort, and stakeholder needs.
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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