RESPONSIBILITIES
- Proven track record in project execution and cross-functional leadership, guiding diverse engineering teams toward successful delivery.
- 5+ years of experience in a senior Engineering or Automation Lead role, ideally within a high-performance or manufacturing environment.
- Exceptional communication skills, with the ability to engage effectively with both technical experts and non-technical stakeholders across all levels of the organization.
- Strong analytical mindset, capable of translating complex business needs into innovative, practical technical solutions.
- Deep technical expertise in intralogistics processes, warehouse automation, production equipment interfaces, and integration with IT systems.
- Solid understanding of industry standards, cutting-edge technologies, and regulatory frameworks, ensuring compliance and future-ready solutions.
- Proficient in MS Office and AutoCAD tools for project planning and design.
- Fluent in English and conversational in German, enabling effective collaboration in an international environment.
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Der Job
- Entwurf und Entwicklung von gezielten Testautomatisierungs-Lösungen für Kundenprojekte und Produktsoftware
- Auswertung und Analyse der gewonnen Testergebnisse
- Intensive Kommunikation mit unserer Basis- und Produktsoftwareentwicklung
- Definition und Weiterentwicklung von automatisierten Testframeworks (darunter auch das hauseigene C# Testframework)
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RESPONSIBILITIES
- 7+ years of experience in FMCG industry and/or Technology, with at least 3 years focused on digital transformation in sales and distribution managing high performing teams
- Bachelor/Master degree from University, Technical University (FH Schule) or college in Business, Information Technology, or related field.
- Excellent command of English (written and spoken), German is a plus
- Track record implementing CRM, sales force automation, and/or Distribution Management platforms in FMCG environments
- Strong project management and stakeholder engagement skills
- Solid understanding of retail execution, distributor management, trade marketing, and field sales dynamics
- Entrepreneurial in solving problems and focused on delivering results
- Strong communicator with the ability to simplify complex concepts and strong selling skills to influence various stakeholders
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RESPONSIBILITIES
- Bachelor’s degree in Management, Engineering, Logistics, Supply Chain Management, Sustainability, Data Science, or a related field.
- Fluency in English (written and spoken); additional languages are an advantage.
- Strong analytical and data analysis skills, with proficiency in MS Office, particularly Excel and PowerPoint.
- Experience with additional data analysis tools or programming languages is considered a plus.
- Prior experience in logistics or sustainability is beneficial but not mandatory.
- Excellent communication skills, paired with strong attention to detail and the ability to manage multiple tasks effectively.
- Team-oriented mindset with a proactive, solution-driven approach.
- Genuine interest in logistics, sustainability, and emerging technologies.
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RESPONSIBILITIES
- Experience in full stack web development technologies, specifically Typescript and NodeJS
- Strong knowledge in frontend technologies and frameworks (Web Components, React, CSS)
- Interest in Continuous Delivery and test automation (Playwright, Vitest)
- Experience in AI assisted coding
- Familiarity with cloud technologies and state of the art SaaS products like AWS, GitHub or Cloudinary.
- Has worked in virtual & mixed team organizations, including with outsourced partners and vendors.
- Understanding of modern web application architectures and concepts, such as islands architecture, caching, accessibility and web performance
- Knowledge of CI/CD pipelines (GitHub Actions), build tools (Webpack, Vite)
- Familiarity in using tools like Git, JIRA or Datadog.
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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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RESPONSIBILITIES
- 7+ years in IT infrastructure architecture or related roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- English mandatory, German optional.
- Proven expertise in data integration platforms (e.g., Azure Data Factory) and/or disaster recovery planning.
- Strong knowledge of hybrid cloud environments (Azure, AWS).
- Proficiency in virtualization, storage, networking, and backup technologies.
- Familiarity with automation tools and Infrastructure as Code (IaC).
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