Data engineer állások Németországban egyetemi végzettséggel

Manage REACH and restricted chemicals within C&A, and establish a formal strategy to make sure C&A is legally compliant...

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Development and maintenance of bioinformatics workflows for NGS data analysis
• Exploratory data analysis of large-scale genomic datasets
• Design and execution of independent research projects at the interface of data science and neuroepigenetics
• Contribution to scientific publications and presentations

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

• Drive frontend development of customer-facing features on rebuy.de, focusing on Angular, with occasional opportunities for cross-stack collaboration (PHP/Symfony, Kotlin)
• Drive technical decisions on architecture, performance, and scalability for the frontend

Configure, operate, and maintain network infrastructure, including Juniper SRX firewalls, QFX/EX switches, Fortinet FortiGate firewalls, FortiSwitches, and OPNsense firewalls, as well as Microsoft Azure networking components....

Taking responsibility: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. Security & Identity...

Lead the design, implementation, and configuration of scalable data models based on complex functional and technical requirements, ensuring alignment with enterprise architecture...

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

Support planning, coordination, and reporting of software development tasks; contribute to publication and presentation of project results...

Engage in requirements discovery and strategic consulting sessions with clients to understand their needs and provide tailored solutions, including guidance on topics like data migration, 3rd party integrations, business scaling, hardware management, and front-end development....

• Operate, optimise, and further develop our Microsoft Fabric ecosystem (Lakehouse, Warehouse, Pipelines, Semantic Models).
• Design, build, and maintain Power BI reports and dashboards based on clearly defined business requirements.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.
• You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models.

Lead the modeling core with fundamental mathematical, statistical, and machine-learning methods that bring customer and market data with knowledge into an executable strategic twin...

Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of...

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Lead technical assessment with customers, analysing equipment specifications, production processes, and data availability to define integration requirements.
• Coordinate and support the integration of new and legacy industrial equipment, including retrofit projects when required.