3184 wrocław English-speaking jobs in Wrocław

This 3-month summer internship offers a chance to gain experience in graphic design for technical documentation. Responsibilities include creating and rebranding graphics, ensuring quality and consistency, and working on presentations and illustrations. Applicants must be current students with proven graphic design experience, strong English communication skills, and the ability to explain complex information visually.

Electrolux Group seeks ambitious interns for its Supply Chain Center in Wroclaw. Interns will collaborate with various teams to adjust distribution plans, plan shipments, and ensure on-time deliveries. The role requires strong analytical skills, proficiency in Excel, and intermediate/upper-intermediate English.

The Sales Director for Food Service & Local QSR will lead a team to achieve sales targets and implement sales strategies in Central Europe. This role requires a proven track record of success in food service sales leadership, strategic thinking, and a results-oriented mindset. The successful candidate will build and maintain relationships with key clients, identify new business opportunities, and collaborate with cross-functional teams.

Demand Planner will build reliable forecasts, analyze data, and collaborate with Sales and Marketing to support strategic decision-making. Requires a degree in science, business, or technical field, strong MS Excel skills, and experience in close cooperation with commercial management.

This fast-paced, project-based Golang program bridges theory and practice. Trainees will build a gRPC server, implement storage solutions, integrate caching mechanisms, and deploy services using Docker and PostgreSQL.

Develop innovative solutions for next-generation 5G telecommunication technologies. Design and implement features in modern telecommunication systems.

Java developer with experience in Spring Framework, RESTful APIs, and microservices architecture sought for large-scale archiving solution. Experience with Kubernetes, Microsoft Azure, and containerization technologies is required. Strong problem-solving and debugging skills are essential. Fluent English required.

Lead the design of end-to-end architectures for scalable, secure, and maintainable systems. Translate business and product requirements into robust technical solutions. Design cloud-native architectures and containerized workloads based on Kubernetes and OpenShift.

Senior MLOps Engineer to industrialize machine learning solutions on Azure and Databricks for a debt collection client. Responsibilities include designing and implementing MLOps pipelines, transitioning models to production, and managing the ML lifecycle. Requires strong experience with MLOps, MLflow, Docker, Kubernetes, and Python.

Senior Java Developer to design, develop, and enhance applications for portfolio creation, trade execution, and sharing. Requires 5+ years Java experience, 3+ years React, and expertise in Spring Framework, RESTful APIs, and microservices.

Senior Full-stack Developer with 5+ years of Java experience needed for reengineering applications and introducing new interfaces. Responsibilities include front and back-end development, collaborating with teams, and mentoring other developers. Must have strong Object-Oriented Design and Microservices architecture knowledge.

Principal Full-Stack Engineer to deliver a new portfolio performance system using .Net, Angular, MSSQL, and Azure. Collaborate with portfolio managers, derive requirements, and develop, test, and deploy applications. Fluent English and expertise in Angular are required.

Leads the global go-to-market launch of Unit4’s AI-native architecture, a company-wide, 18-month initiative. Responsible for translating complex technical innovation into clear, credible economic value stories for CFOs, COOs, and CHROs. Builds and leads a product marketing function that endures beyond individual launches, shifting messaging from features to outcomes and economic impact. Establishes scalable GTM disciplines for future innovation.

Data Architect needed with expertise in data ingestion, integration, and cloud-based architectures. Requires experience with Microsoft Azure technologies (ADF, AEH, Databricks) and ETL/ELT concepts. Strong understanding of data modeling, transformation, security, and access control within Azure is essential. Experience with message queues and integration technologies (Kafka, IBM MQ, Event Hub) is preferred.

Senior Fullstack Developer to design and develop new features for an ERP system using C#, .NET, Vue2/Vue3, and Azure. Requires experience with REST APIs, nHibernate, SQL, and Agile methodologies.

Business Intelligence Architect needed to design and implement advanced data solutions. Responsibilities include optimizing data platforms, designing and implementing SQL and NoSQL database solutions, and developing Power BI reports. Requires 7+ years of experience in a similar role, expert-level skills in Power BI and Microsoft Fabric, and strong communication skills.

Design and implement features for next-generation 5G telecommunication technologies. Minimum 2 years of professional experience required. Solid C skills and knowledge of telecommunications are essential.

Senior Full Stack Developer will design, develop, and maintain web applications using React and .NET. Responsibilities include leading technical discussions, mentoring team members, and ensuring architectural integrity. Requires 5+ years of experience in web application development with React and .NET, deep understanding of JavaScript (ES6+), TypeScript, and modern front-end frameworks, and strong expertise in designing and integrating RESTful APIs.

Lead the development of differentiated ERP capabilities for the professional services industry. Define and maintain a comprehensive industry roadmap, translate industry-specific workflows into product requirements, and champion the use of AI and automation technologies. Collaborate with product teams, sales, and customer success to support product strategy and drive customer engagement.

Designs, develops, deploys, and maintains machine learning models to solve business challenges. Collaborates with engineers and product managers to integrate responsible ML solutions.