947 English-speaking jobs in Berlin

Principal Enterprise Architect for Defense Cloud Services. Develop target architectures and roadmaps for the defense sector, leveraging Hyperscaler knowledge (AWS, Azure, GCP) and TOGAF. Must ensure IT Compliance (BSI-Grundschutz, C5).

Lead the Business Unit for Public Safety IT Solutions, driving strategy and P&L. Requires expertise in IT solution sales, public sector knowledge, and German procurement law.

Principal AI Infrastructure Architect sets technical vision for large-scale AI/ML compute infrastructure. Own complex architecture decisions across compute, networking, and storage, driving cost-optimized, production-ready systems.

Lead business process design and workflow automation for marketing operations clients. Configure and implement Adobe Workfront and design automation scenarios to create scalable, data-driven customer experiences.

Architect, design, and implement Workday Extend use cases for HCM & Financials. Lead teams in developing Workday Extend applications and solve complex integration problems. Requires hands-on Workday Extend experience.

Architect end-to-end Workfront solutions and build Fusion automation connecting to platforms like AEM, Marketo, and Salesforce. Requires hands-on Workfront configuration and process orientation.

Design and optimize AI/ML infrastructure, including GPU clusters and distributed training environments. Architect, deploy, and monitor AI systems across cloud and on-premises platforms. Requires coding proficiency and strong understanding of AI/ML and computing infrastructure.

Design end-to-end agentic and generative AI solutions for enterprise environments. Architect cloud and data platforms on AWS, Azure, GCP, and MarTech platforms. Requires extensive experience with agentic AI frameworks.

Support IT infrastructure by operating and optimizing environments using Azure, Kubernetes, and GitLab CI/CD. Resolve incidents, manage Windows/Linux systems, and automate workflows with Ansible.

Design marketing data architectures across CDPs, cloud platforms, and activation layers. Define data modeling and identity strategies for personalization and attribution. Lead data architecture in MarTech transformation programs.

Design and implement low-level virtualization technologies for processors, memory, and devices. Requires extensive experience in C, Linux, x86/ARM, and high-concurrency software development.

Own the technical vision for SAP’s Industry Knowledge Graph. Lead a multidisciplinary team in modeling industry data into production-grade RDF Knowledge Graphs, integrating them with LLMs. Requires deep expertise in the RDF stack.

PhD Internship in AI Research focusing on Foundation Models on Structured Data. Requires PhD student status (2nd year+) with experience in deep learning, transformers, and a strong publication record. Proficiency in PyTorch and Python is necessary.

Intermediate SAP S/4HANA (Basis) Engineer to manage daily cloud operations for Sovereign Cloud in Germany. Responsibilities include system design, maintenance, patching, and on-call support. Requires 1-3 years of SAP experience.

Lead the international team for Record-to-Report services, driving process excellence and digital transformation across global finance. Define the R2R roadmap, leveraging SAP S/4HANA, automation, and AI. Requires finance expertise and people leadership.

Client Services Team Leader html We are Europe's leading provider of employee benefits technology. Millions of employers and staff use Epassi's digital and mobile solutions to seamlessly redeem employee benefits across our unrivalled merchant network. Epassi - Wellbeing that works!

Deliver groceries to customers efficiently by e-bike or e-scooter. Meet and exceed delivery targets while providing exceptional customer service. Must be at least 18 years old, have a work permit in Germany, and speak English or German.

Develop Anaplan models for EMEA Finance and Sales, handling customization, maintenance, and support. Ensure model efficiency and user-friendliness while advising on Anaplan utilization.

Lead a Risk Analytics team, driving data-oriented insights on solvency and fraud. Focus on defining risk strategy, improving analyses, and enabling machine learning models for risk decisioning. Requires 3+ years leading teams in credit risk analytics.

Advance computational geometry and meshing for NVIDIA GPU platforms. Develop algorithms for CAD-to-simulation workflows, improving robustness and accuracy across CAE and EDA. Requires PhD/equivalent and 5+ years of relevant experience.