1742 English-speaking jobs in Lower Silesian Voivodeship

Establish and scale analytics across a portfolio of enterprise products. Analyze user behavior to identify areas for improvement and translate data into actionable recommendations for design and product teams. Define and standardize UX metrics, structure user journeys, and design experiments.

Design, develop, and maintain robust Java applications using Java 17+ features and the Spring ecosystem. Modernize legacy systems and integrate with Azure services.

Shape user experience for Neo, Capgemini's AI platform. Coordinate end-to-end UX delivery, ensuring designs are consistent, intuitive, and ready for implementation across conversational and non-conversational experiences. Translate AI use cases into clear user journeys and ensure high-quality interactions.

Data Engineer to maintain and evolve the Microsoft Fabric platform, ensuring a stable and scalable environment. Responsibilities include managing data pipelines, enhancing architecture, and delivering high-quality data models. Requires strong understanding of Microsoft Fabric architecture, medallion architecture, and experience with Python (PySpark) for data processing.

Develop and maintain Java and Angular/React applications for public service clients. Design new features, modernize systems, and integrate components in Kubernetes environments. Collaborate with architects, product teams, and domain experts.

Designs, builds, and delivers high-quality Mendix applications. Works with stakeholders, architects, and developers to translate requirements into robust, scalable, and user-friendly solutions. Implements application logic, data models, integrations, and UI components.

Build and maintain a Group-wide AI platform connecting employees with tools, data, and workflows. Develop frontend applications using React, backend services with Node.js, and Python-based AI components.

Build and deliver Java applications, working with microservices, cloud, and both front-end and back-end. Contribute to good programming practices, deliver test coverage, and participate in Scrum and code reviews.

Delivers complex Data Cloud initiatives, translating architectures into delivery plans and coordinating work across data engineering, platform engineering, DevOps, and analytics teams. Ensures solutions adhere to technical standards and cloud best practices. Manages risks, dependencies, and cross-team blockers, providing clear delivery status updates to stakeholders.

Senior Python Software Engineer to deliver high-impact data analytics and Machine Learning solutions. Collaborate with international teams, research technical options, and contribute to functional and architectural decisions.

Senior Data Engineer to support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Responsibilities include designing, developing, and maintaining ADF pipelines, configuring linked services and datasets, and monitoring, troubleshooting, and optimizing pipelines. Experience with Azure Data Factory, Databricks, Python, SQL, and CI/CD processes in Azure DevOps is required.

Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. Configure and manage linked services and datasets within ADF. Monitor, troubleshoot, and optimize ADF pipelines. Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer. Translate business requirements into technical solutions. Develop and maintain Python-based components. Contribute to CI/CD processes in Azure DevOps. Support occasional Power BI reporting and dashboarding needs.

Design and implement scalable data processing pipelines for streaming and batch processing using technologies like Databricks, Airflow, and/or Dagster. Contribute to the development of CI/CD and MLOps processes. Develop applications to aggregate, process, and analyze data from diverse sources. Collaborate with the Data Science team on Machine Learning projects.

Senior Data Engineer to work on projects involving automotive data, a global aerospace data platform, and a centralized reporting platform for a US telecommunications company. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and collaborating with cross-functional teams. Requires 5+ years of experience implementing Big Data systems, strong Python skills, and experience with technologies like Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Experience with Python, Docker, Git, and CI/CD is required. Familiarity with frontend frameworks is a plus.

Develop and maintain a high-performance data processing platform for automotive data. Design and implement data pipelines that process large volumes of data in both streaming and batch modes. Optimize data workflows using Spark, Cloudera, and Airflow. Collaborate with cross-functional teams to understand data requirements.

As a Pre-Sales Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform capabilities and aligning them with business goals. You will lead technical discovery sessions, design solution architectures, and create technical proofs of concept to support proposals. You will collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales to project implementation.

Develop and maintain robust, scalable applications in a .NET environment. Collaborate with teams across the software development lifecycle. Experience with Angular, .NET Core, ASP.NET, and Entity Framework required.

Performance and Resolution Analyst will troubleshoot systems/networking issues, communicate trends and solutions, and train less experienced analysts. Requires a bachelor's degree, 5+ years IT Operations or SRE experience, and fluency in English.

Senior Software Quality Assurance Specialist will verify software products against defined requirements, design and execute manual and automated test cases, and analyze testing results.