You will work in an internationally oriented market segment with a broad customer base of OEMs. YOUR QUALIFICATIONS Completed technical degree in computer science/electrical engineering/mechatronics Professional experience in a comparable environment and practical experience in the analysis and specification of system requirements, preferably in the automotive industry using DOORS and RhapsodyProficient use of the SysML modeling language and experience in the development of ASIL C/D systems Systematic, process-oriented approach (SPICE, V-model) and very good technical understanding Experience in the field of digital control engineering and power electronics is desirable Experience with System-FMEA and System-FTA is desirable Excellent communication skills in English Enthusiasm and a desire to further develop oneself and the HV DC/DC and OBC products WHAT WE OFFERMobile Working and flexible working time modelsExtensive career and further training opportunities Sports and health program HELLA in Motion as well as partner of the company fitness network WELLPASSDiscounted Germany ticket for bus and trainFree coffee and water, company restaurants and cafésBicycle leasing and numerous employee benefitsCompany pension plan with HELLA allowanceFamily support: family service and advice on caring for relativesEmployee events Even if you do not meet all our requirements, do not hesitate to apply to us, because the further development of our employees is very important to us and opens up a wide range of opportunities for you in our company.
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.
Then, please send us your application: SCHOTT ASIA IT SERVICES, Human Resources, Wei Ni Tang, *At SCHOTT, it’s your personality that counts – not your gender, your identity, or origin.Your Profile Bachelor’s degree in Computer Science, Information Technology, or a related discipline.At least 4 years of experience in CMDB administration and ITSM process management.Strong understanding of IT service management frameworks, particularly ITIL.Hands-on experience with Configuration Management in ServiceNow.Solid knowledge of IT infrastructure, network architecture, and databases such as Microsoft SQL.Proficiency in data analysis and the creation of reports and dashboards.Excellent problem-solving skills and the ability to work independently with a focus on priorities.Strong communication and interpersonal skills.Ability to effectively train and educate others.Enthusiasm for learning and exploring new topics.Proficiency in English.
#shapeandcreate Your responsibilities: Conception, design, and implementation of technical solutions in the SAP S/4HANA Finance environment.Customization and further development of the SAP S/4HANA Finance system.Development of ABAP/ABAP OO programs for the automation and optimization of business processes.Analysis of business requirements and creation of technical specifications.Close cooperation with specialist departments and other IT teams.Testing and documentation of the developed solutions.Error analysis and troubleshooting in the SAP S/4HANA Finance system. Your profile: Degree in computer science, business informatics, or a comparable qualification.In-depth knowledge of the SAP S/4HANA Finance environment (ideally FI, CO, AA) and the design and implementation of SAP solutions.Experience in ABAP/ABAP OO development.Ideally, experience with S/4HANA migration projects.Very good German and English skills.
Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects. A Bachelor's programme in Computer Science in Culture and Health and a Master's programme in Applied Computer Science are offered.The teaching assignment is in Bachelor's and Master's degree programmes of the department at the University in Berlin.
Documentation & Training Develop and maintain system and process documentation.Deliver standard user training for supported applications. Your Profile Bachelor Degree in Computer Science, Business Informatics, or a comparable field.3 years of experience in operating production services and operational services, initial experience in dealing with service providers and advising customersExperience with MES systems (e.g., HydraX, Cronetwork).Proficiency with monitoring and logging tools (Grafana, Kibana).Linux expertise (Debian preferred).Scripting and automation (Bash, Python, Perl).Networking fundamentals and integration knowledge.Containerization (Docker, Kubernetes) and CI/CD pipelines.Virtualization and cloud technologies (VMware, KVM, Azure).SQL database knowledge.Initial experience with service providers and customer advisory.Strong communication skills and knowledge of application management processes.Understanding of business processes in smart factory contexts.Familiarity with service management methods (PMI & ITIL).Proficiency in English.
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.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt