Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
What You’ll Do: Partner with business teams to understand workflows, challenges, and opportunitiesIdentify and prioritize AI use cases with measurable business impactTranslate business needs into AI-driven solutionsDeliver practical AI training sessions, workshops, and demosPromote safe and responsible AI adoptionHelp teams understand AI capabilities, limitations, and best practicesDesign scalable AI solutions using Agentic AI, LLMs, and Generative AI conceptsApply prompt engineering best practicesBuild solutions using low-code/no-code platforms (e.g., Power Automate, Power Apps, Copilot Studio, Cognigy)Collaborate with AI and technical teams to bring ideas to production What makes you stand out 3+ years in business consulting, product, or similar roles guiding AI/automation initiatives3+ years delivering AI or automation projects with measurable resultsStrong understanding of: Agentic AI, LLMs & Prompt Engineering, Generative AI, Hands-on experience with tools like: Cognigy, Copilot Studio and Power Automate / Power AppsSolid understanding of data fundamentals (PII, permissions, telemetry)Experience building simple impact dashboards in Power BIExperience designing and running workshops & training sessionsDegree in Business Informatics, Computer Science, or related field What Makes You Stand Out: Collaborative, solution-oriented mindsetAbility to translate complex AI topics into business languageIndependent, proactive way of workingPassion for implementing cutting-edge AI solutions We are looking forward to your application and to applicants who enrich our diverse culture!
What You’ll Do: Collaborate in an Agile, International TeamWork closely with colleagues from Romania, Germany, and UkraineDesign, estimate, develop, and implement software solutions aligned with business needsActively communicate progress, risks, and technical decisions to stakeholdersBuild Scalable Data SolutionsDevelop agnostic data products within a modern, cloud-native data ecosystemSupport use cases across BI, Advanced Analytics, AI, and MLTranslate business requirements into robust technical architecturesContinuously enhance performance, quality, and cost-efficiency of solutionsProactively suggest improvements and best practices What makes you stand out Degree in Computer Science, Economics, or a comparable qualificationMinimum 3 years of experience as a BI Engineer or Data Engineer, focused on cloud-based architecturesStrong expertise in: Snowflake and DBT (Data Build Tool)Solid knowledge of: SQL and Data lakehouse architectures, Python is nice to haveCommunication is Key Excellent communication skills in English (written and spoken) — mandatoryAbility to clearly explain technical concepts to both technical and non-technical stakeholdersStrong stakeholder management and collaboration skillsComfortable working in cross-border, multicultural teams We are looking forward to your application and to applicants who enrich our diverse culture!
. • High degree of self-accountability and commitment and a strong growth mindset to drive change and contribute actively to future leading transformation. • Very good computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. • Flexibility to occasional business travel for client meetings. • Strong problem solving skills. • Ability to make decisions, bringing clarity to disparate information to inform actions and drive results.
You assist the Head of Audit in building, operating, and continuously developing the internal audit system of the DKV MOBILITY GROUP.You advise business units on planning and implementing functional requirements as well as key IT projects, while maintaining the independence required for auditing. What makes you stand out You have a degree in computer science, information security, business informatics, or a comparable qualification.You have gained more than 5 years of practical experience in an IT environment (e.g., as IT manager, administrator, project lead, or responsible for implementing IT-related topics).You also have several years of experience in IT-related audits, preferably in an auditing firm, a bank, or a billing company.You possess knowledge of common IT and information security frameworks and/or requirements such as ITIL, Cobit, ISO 27001, BAIT, NIST, or BSI IT baseline protection, as well as SAP audit expertise, Microsoft Active Directory and Azure, Jira, and Apache.You communicate fluently in German and English, both spoken and written.Ideally, you already hold certifications such as CISA, CIA, CISM, or CISSP, or you are willing to obtain them with our support.You are willing to travel to DKV MOBILITY GROUP locations or to our outsourcing partners for on-site audits, demonstrate intercultural competence, and commit to continuous professional development.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You bring experience in Revenue Operations, Sales Operations, Sales Analytics, or a similar commercial analytics role.You have a strong understanding of sales processes, pipeline management, forecasting, and revenue metrics, and you can translate them into technical requirements for engineers.You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You are a great stakeholder manager who can talk to sales and engineering alike.You are highly proficient in Power BI and experienced in building dashboards that drive action.You are comfortable working with CRM data and sales systems (e.g.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
Delight customers by providing outstanding technical support, service, and product selection assistance. Responsible for maintaining company property (company car, computer, office equipment, customer demo/loaner products, consignment stock, etc.) that is in his/her control, and or at his/her customer site.
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent products Definition, further development and continuous optimisation of overarching verification methods based on system requirements and use cases Planning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standards Coordination, implementation and monitoring of test processes in close cooperation with development departments and verification teams Analysis of test results, risk assessment and derivation of appropriate measures to improve quality Definition of series tests taking into account risk analyses and statistical methods Close cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer science Extensive experience as a test manager and in testing complex, interdisciplinary systems Extensive professional experience in E2E IoT system testing and UI profile testing In-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & apps In-depth knowledge of build, release and DevOps environments as well as test automation.
Responsibilities Lead end-to-end implementation and migration projects for enterprise clients Define and document target architectures, integrating SCAYLE with client systems (ERP, PIM, CRM) Provide guidance on SCAYLE platform capabilities, APIs, and composable commerce Translate business requirements into technical specifications and actionable work packages Collaborate with external partners to ensure delivery quality and standards compliance Review and validate integrations: REST APIs, webhooks, and asynchronous data flows Support cross-functional teams in resolving technical blockers Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 5+ years in enterprise ecommerce architecture, digital consulting, or technical lead roles Proven experience leading large-scale SaaS or MACH replatforming projects Deep knowledge of e-commerce architectures: Storefronts, OMS, PIM, CMS, ERP ntegrations Expert in MACH principles (Microservices, API-first, Cloud-native, Headless) Hands-on experience with REST APIs, webhooks, and event-driven architectures Strong problem-solving, consultative mindset, and clear communication skills YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.