1403 English-speaking jobs in Berlin

js/TypeScript Work closely with data engineers, product managers, and commercial teams to make data-driven ranking decisions Architectural freedom: collaborate with our Tech Lead, bring in your own ideas, and keep our codebase clean You love digging into ranking problems, taking deep ownership of a product, and seeing your changes move real business metrics 5+ years of experience with backend syst

Guide global employees in adopting and maximizing Microsoft 365 and modern workplace technologies. This role combines M365 Adoption Consulting, Change Management, Training, and Community Management.

Sortation Centre Warehouse Associate role involving parcel sorting, lifting up to 15kg, and using scanners or forklifts. Candidates must be 18+ and proficient in German and/or English.

Fachkraft Lagerlogistik needed for full-time or part-time roles. Responsibilities include receiving, preparing, building, wrapping, sorting, and transporting inventory and packages using various equipment. Must be 18+ and proficient in German and/or English.

Design and deploy algorithms for a global delivery network, bridging optimization and data science. Expertise in MIP, VRP, metaheuristics, and statistical modeling using Python. Own the full engineering lifecycle.

iOS Engineer to design, build, and optimize features for the customer order experience. Requires proficiency in Swift and SwiftUI, knowledge of iOS ecosystem, and experience with testing and RESTful APIs.

Data Science Manager for Logistics Estimations leads a team of Data Scientists to maximize the predictive engine's impact on the global delivery network. Focus includes ETA model accuracy, strategic roadmap definition, and technical guidance. Requires advanced ML/DS expertise and leadership experience.

Senior Machine Learning Engineer to design, build, and productionize ML systems for logistics. Develop solutions for supply and demand, predicting ETAs, and optimizing algorithms. Requires strong Python skills and experience deploying ML solutions.

Lead the Catalogue Experience team, managing iOS, Android, web, and quality engineers. Drive technical excellence and delivery for the customer-facing menu across mobile apps and web platform.

AI & Data Governance Specialist to oversee privacy and governance processes in digital and AI-driven environments. Ensure compliance with legal frameworks while coordinating data protection requests and supporting compliant AI implementation.

DevOps Engineer to build and optimize reliable cloud infrastructure and deployment pipelines for digital public services. Requires expertise in cloud platforms, CI/CD, IaC, and system operations.

Midtier Frontend Engineer to develop and maintain responsive, high-quality user interfaces for web applications. Build scalable components using modern frameworks, ensuring performance and accessibility. Requires experience with modern JavaScript frameworks and UI/UX principles.

Senior Full Stack Engineer to lead technical implementation of digital platforms and AI applications. Develop and maintain scalable full stack applications, APIs, and cloud infrastructure. Requires experience in modern frontend/backend and scalable architectures.

Form Engineer/Builder to design and build digital forms and workflows for social welfare and public administration. Translate complex legal requirements into structured digital processes and data models. Requires a degree in a related field and experience with form builders or workflow tools.

Design intuitive UX for AI-driven and conversational applications. Create wireframes, prototypes, and high-fidelity UI concepts to simplify complex administrative workflows. Requires relevant degree and experience.

iOS Engineer to shape the core customer journey in the Catalogue Experience team. Design, build, and optimize features for the iOS application using Swift and SwiftUI. Requires knowledge of iOS ecosystem, architectural patterns, and RESTful APIs.

Senior Machine Learning Engineer to design, build, and productionize ML systems for logistics. Develop solutions for supply and demand, predicting ETAs and solving pricing problems using ML. Requires strong Python, cloud deployment, and real-time systems experience.

Build and scale algorithms for a global delivery network at the intersection of optimization and machine learning. Requires knowledge of MIP, VRP, Python, and deploying production-ready services.

Data Science Manager for Logistics Estimations leads a team of Data Scientists to maximize the predictive engine's impact on the global delivery network. Focus includes ETA model accuracy, strategic alignment, and technical guidance.

Senior Decision Scientist to partner with RevOps and Sales, driving strategy through quantitative analysis. Develop models and KPIs to guide sales planning, forecasting, and pipeline decisions using SQL and Python.