Part head com javascript jquery állások Németországban (it programozás, fejlesztés)

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

• Leading the architecture discussion for the Core Platforms (CRM, Billing etc.) to deliver seamless business solutions for the Energy Retail Segment
• Collaborating with business stakeholders to understand requirements and translate them into scalable and effective technical designs

• In this role, you advise the Vaillant Group department Supply Chain – Logistics and implement designed solutions within the SAP S/4HANA landscape
• You implement and further develop processes and applications within the area of transportation management

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

• Which structural and semantic gaps exist in the Celonis OCPM representation of the current Mercedes-Benz planning process?
• Which semantic concepts of our approach can be formalized as a Semantic Layer (e.g., as an ontology / knowledge graph)?

• Investigate and resolve data inconsistencies across complex end-to-end data pipelines
• Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
• Debug pipeline failures and improve overall pipeline robustness

Where you belong: Where you belong: ...

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• Manage group-wide AI security initiatives and governance
• Consult local tech and security teams on information security and operational resilience
• Evaluate AI / information security risk for the group
• Strategically analyse threat and market intelligence

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems
• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications

As a PhD candidate with us, you will conduct intensive research on future satellite-to-vehicle communication solutions based on innovative 6G networks....

You will be part of the quality assurance team of our platform — designing and running tests, qualifying hardware, and making sure everything we ship performs flawlessly on Linux and macOS. When customers run into trouble, you're also the person who helps them get back on track, and makes sure what...

Leadership and accountability: Take disciplinary, organi­zational, and budgetary responsi­bility for the software develop­ment of our teams within the Agile Release Train (ART) Under­writing, focusing on under­writing appli­cations within HDI Global...

• Work on design, coding, and quality assurance tasks related to specific product features.
• Build reliable, production-ready platform capabilities and help drive engineering quality across the team.
• Development activities in Java, Python, and Go, with Rust as a plus.

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

• Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization
• Transfer control policies from simulation to real robotic hardware
• Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation

• Define and design scalable, secure and future-proof data architectures aligned with business and IT strategies
• Act as a key advisor to customers, translating business requirements into holistic data solutions