1054 English-speaking jobs in Berlin

Junior Cloud Field Engineer helps global companies adopt private cloud infrastructure, Linux, and cloud native operations. Responsibilities include designing cloud solutions using OpenStack and Kubernetes, and developing code with Python.

Web Developer needed for modern web applications using HTML, CSS (SCSS), JavaScript, and TypeScript. Must have experience with responsive UIs, Git, and accessibility. Based in EMEA timezones.

Develop data-rich user experiences using JS, CSS, React, and Flutter. Design and implement well-tested software, participate in code reviews, and contribute to open-source projects.

Senior DevOps Engineer to design and operate Azure infrastructure using Terraform. Own IaC architecture, build CI/CD pipelines, and secure Azure environments. Lead production incident management.

Lead Software Engineer to define the technical roadmap for a dynamic pricing platform. Architect cloud-native systems on AWS, writing code in Java, PySpark, and Python. Lead and mentor engineering teams.

Product Designer owns the end-to-end experience of a B2B SaaS AI operating layer. Responsibilities include journey mapping, designing core surfaces (desktop/mobile/admin), building the design system from scratch, and managing in-app communication. Requires 7+ years in product design.

Senior Salesforce Application Manager to own and develop Exasol's critical Salesforce platform. Requires deep expertise in Sales Cloud, Service Cloud, and CPQ, managing L2/L3 support, integrations, and transformation initiatives.

Full Stack Engineer role covering maternity leave. Develop and maintain Kotlin Backend-for-Frontend and React frontend for personalized landing pages. Requires 2-4 years of experience with Kotlin/Java and React.

Senior Backend Engineer to architect scalable, API-first microservices using Java and Spring Boot. Lead development, own the full lifecycle, and leverage AWS and Kubernetes in an agile environment.

Senior Applied Scientist to drive marketing engine evolution using elasticity modeling, forecasting, and optimization. Own the ML lifecycle, bridging research and production systems. PhD preferred in relevant fields.

Senior Data Engineer to design and implement a Databricks Lakehouse for CRM, connecting Salesforce and other sources. Responsibilities include building ETL/ELT pipelines, using Terraform, and ensuring GDPR compliance. Requires 5+ years as a Data Engineer with Databricks experience.

Senior Software Engineer in Machine Learning builds production systems for optimization, forecasting, and Generative AI. Focus is on data, software, deployment, and monitoring foundations using Python, Databricks, and Kubernetes.

Senior Search Engineer to lead the design of an AI-driven, hyperscale search engine. Responsibilities include modernizing data ingestion with Kafka/Flink and developing core platform capabilities. Requires deep search expertise and JVM proficiency.

Senior Applied Scientist to refine demand forecast engines. Requires Master's+ in quantitative fields, 5+ years in forecasting models, and deep proficiency in Python, SQL, and PySpark.

Design and implement fullstack software solutions using Kotlin and TypeScript/React for Transport Planning Optimization. Focus on building scalable systems for transport management and logistics efficiency.

Build and operate systems for foundational capabilities and customer-facing UX in Reco & Lifestyle Intelligence. Develop production-scale solutions using React Native, TypeScript, and React.

Principal AI Scientist to build conversational AI using LLMs and intelligent agents for fashion discovery and shopping. Focus on RAG pipelines, prompt engineering, and optimizing production AI agents for business impact. Requires 10+ years in engineering or applied science.

Principal Data Analyst for Logistics KAM. Lead strategic analytics, solve complex operational challenges, and drive data-driven performance steering. Requires expertise in SQL/Python, statistics, and stakeholder management.

Principal Software Engineer to guide teams in Risk Management, developing ML solutions for fraud detection. Drive technical design, mentor engineers, and elevate software standards for high-impact projects.

Build production systems for data ingestion, optimization, and ML. Develop scalable data/ML pipelines using Python, Databricks, Spark, and Airflow. Requires 4+ years in production data/ML systems.