1433 poznań English-speaking jobs in Poland

Senior Integration Architect needed for mission-critical projects involving complex client organizations and IT systems. Requires 4+ years of experience, including 2+ years in integration, expertise in MuleSoft, and certifications (MuleSoft Certified Platform Architect and MuleSoft Certified Integration Architect). Must have strong API design knowledge (Swagger, REST, SOAP, XML), experience with DevOps, Jira, Confluence, and GitHub, and fluency in English.

Capgemini seeks a hands-on UiPath Senior Specialist / Lead with 4+ years of experience in standard and advanced modules, including Document Understanding, Communication Mining, and Process/Task Discovery. The ideal candidate will have a background in AI and GenAI, proficiency in Python and/or JavaScript, and experience integrating with various business systems.

Agentic Architect to design and deploy AgenticAI-powered architectures across HRL, Q2R, and REC domains. Requires 15+ years of experience in enterprise architecture, AI systems design, or digital transformation with deep expertise in AgenticAI, LLM orchestration, and autonomous agent frameworks.

Lead the design and deployment of AgenticAI-powered architectures across C2C, P2P, and R2A domains. Architect modular, scalable, and secure agentic systems that integrate with ERP, procurement, and finance platforms.

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures, research and select tools and technologies, and translate business problems into data science problems. Architect and oversee data pipelines and workflows, coordinate with Data Engineering and Software Engineering teams, and present findings to stakeholders.

Lead Data Engineer to design and develop scalable data management architectures and platform solutions using technologies like Spark, Hadoop, and AWS. Responsibilities include designing data governance processes, developing CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7+ years of experience in implementing Big Data systems, strong Python or Java/Scala skills, and a Master's or Ph.D. in a related field.

Senior Data Scientist / ML Engineer will design, implement, and validate Machine Learning models to support business objectives. Responsibilities include researching, testing, and selecting AI solutions, understanding client needs, and architecting data pipelines. Requires 5+ years of experience in AI, proficiency in Python and ML libraries, and knowledge of cloud environments (AWS or Azure).

Support clients in optimizing and automating invoice processing and P2P workflows through SAP VIM solutions. Design, realize, and implement solutions supporting automated business processes, focusing on Vendor Invoice Management and digital content processing.

Senior AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production solutions. Responsibilities include building and enhancing backend components using Python and frameworks like FastAPI, ensuring code quality, and participating in deployment and maintenance in a cloud environment.

Design, build, and deliver high-quality Mendix applications for international clients. Translate requirements into robust, scalable, and user-friendly solutions. Implement application logic, data models, integrations, and UI components while adhering to Mendix best practices and security standards.

SAP FI/CO Consultant needed for a dynamic team. Must have proficiency with S/4 HANA FI/CO modules, ABAP debugging skills, and at least 4 years of experience in SAP Finance and/or Controlling. Fluency in English is required.

Golang Developer needed for a large-scale, multi-service backend platform. Design, develop, and maintain core infrastructure, integrating communication protocols like MQTT, OPC, REST, and Kafka.

Designs and leads end-to-end cloud and data architectures on Google Cloud Platform. Translates business requirements into secure, scalable, and cost-efficient solutions. Guides teams through complex transformations and acts as a trusted advisor for cloud, data, and AI topics.

Sets AI strategy, leads end-to-end AI initiatives, and architects scalable ML and Generative AI systems. Requires proven experience delivering AI systems, expertise in ML, Generative AI, and agentic AI architectures, and strong Python skills.

Technical Architect needed for a data warehouse project. Experience with Teradata and Oracle databases, data warehousing, SQL, and ETL tools required. Collaborate with stakeholders to design and implement a scalable data warehouse architecture.

Data Science Consultant will translate business challenges into AI-driven solutions, designing and delivering end-to-end data science and GenAI use cases. Responsibilities include building LLM-based applications, prototyping agentic AI, developing models in Python, and working with cloud AI stacks.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Projects involve Spark, Cloudera, Airflow, Iceberg, Python, AWS, Azure, and Databricks. Requires 3+ years of experience with Big Data systems, data governance, and cloud environments.

Senior Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Airflow, Spark, and other Big Data technologies. Experience with cloud environments (Azure preferred), data modeling, and SQL is required.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.