5589 English-speaking jobs in Warsaw

Senior QA Engineer will design, develop, and maintain automated test frameworks for data processing and orchestration. Responsibilities include conducting regression, performance, and scalability testing for data ingestion and transformation, implementing data quality validation, and collaborating with Data Engineers and DevOps teams.

Designs and develops web applications using the Adobe Experience Manager platform, including site structure, components, and workflows. Integrates AEM with other marketing products and assists in deploying applications to various environments. Requires fluency in English, strong proficiency in React 18 and TypeScript, and experience with AEM architecture and components.

Senior AI Engineer to design, build, and deploy scalable AI systems. Experience with agentic frameworks (e.g., LangChain), ML frameworks (TensorFlow, PyTorch, Scikit-learn), and cloud platforms (AWS preferred) required.

Design and develop GenAI-powered solutions for business processes and decision-making. Collaborate with stakeholders to identify use cases and translate them into scalable solutions. Build and integrate applications leveraging LLMs with cloud AI services. Work with structured and unstructured data, preparing and optimizing pipelines for GenAI use cases. Contribute to both solution design and implementation, ensuring solutions are scalable, secure, and maintainable.

Design, build, and deliver production-ready GenAI and agentic AI solutions for enterprise clients using Python, LLM APIs, and open-source models. Develop RAG pipelines, agentic workflows, and integrations connecting AI agents to corporate databases, APIs, and enterprise systems. Evaluate and optimize AI outputs, improving accuracy and performance. Collaborate with senior engineers on high-impact client projects.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP Analytics Cloud and SAP Analytics Cloud Planning.

Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric, and related services. Define best practices for data governance, security, performance optimization, and cost efficiency in Azure and Databricks environments. Collaborate with cross-functional teams to deliver end-to-end data platform solutions. Integrate Databricks with the broader Azure ecosystem. Advise clients on modernization strategies, including migration from legacy databases to Azure and Databricks-based architectures. Support pre-sales and solutioning activities. Stay up to date with innovations in Azure, Databricks, and Fabric.

Lead and support solution design and delivery for IAM, Authorization, or SOC requirements in on-premise, cloud, and hybrid SAP landscapes. Manage project teams and contribute to business development opportunities in SAP Security.

Contribute to shaping and delivering SAP data & analytics solutions, focusing on SAP Business Data Cloud (BDC) and SAP-native data products. Design, implement, and support SAP data warehousing solutions, including data products, semantic models, and analytics consumption using BDC and SAP Analytics Cloud (SAC). Translate business requirements into SAP data solutions and collaborate with cloud and data platform teams to deliver hybrid architectures.

Lead technical initiatives in AI/LLM/GenAI, designing and building scalable solutions. Research and evaluate AI models, tools, and architectures. Translate business problems into AI solutions and mentor junior engineers. Collaborate with cross-functional teams to integrate AI capabilities.

Lead and coordinate SAP FI/CO projects, including analysis, design, configuration, testing, and implementation. Collaborate with key users to optimize financial and controlling processes.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP BW/4HANA Data Modeling & Development. Very good command of English.

Design, implement, and deploy SAP solutions to achieve business goals. Involved in full-cycle, large-scale, international projects. Drive industry innovation by delivering SAP S/4HANA solutions.

Senior Marketing Cloud Engagement Developer needed to design, configure, and develop solutions within Salesforce Marketing Cloud. Requires 5+ years of experience with MCE modules (Journey Builder, Automation Studio, Email Studio) and proficiency in SQL, AMPscript, and SSJS. Must have Salesforce Marketing Cloud Developer and/or Consultant certifications. Experience integrating SFMC with external systems using REST/SOAP APIs is essential.

Apply cloud and data engineering skills to solve problems and design approaches. Propose, build, and implement big data engineering solutions for clients. Design and develop scalable data pipelines to ingest, process, and transform large datasets.

Build and implement scalable solutions using Nest.js, SQL, ORM, and GraphQL. Design and optimize data workflows, ensuring high code and architectural quality. Collaborate with international teams and stakeholders.

Senior GenAI Engineer will design and deliver production-grade GenAI and agentic AI systems. Responsibilities include architecting autonomous multi-agent systems, designing data backbones, building secure integrations, and owning the full production lifecycle. Requires 6+ years of software or data engineering experience, 2+ years with LLMs and Generative AI, strong Python and SQL skills, and experience building agentic AI solutions.

Senior Data Scientist will leverage machine learning and cloud technologies to improve client businesses. Responsibilities include applying data-driven approaches to business scenarios, creating and using advanced analytics and ML algorithms, and collaborating in interdisciplinary teams. Requires a minimum Bachelor's degree in a relevant field and 4 years of experience in applying data-driven approaches. Proficiency in at least one programming and query language (Python, PySpark, SQL) and understanding of various Data Science, Machine Learning concepts and algorithms is necessary. Fluent English is required.

Senior backend engineer to design and own business-critical systems. Strong Python skills and distributed systems experience required. Focus on system reliability, observability, and performance. Collaborate with product, frontend, and platform engineers. AI-native working style with experience using AI tools in daily workflow.

Senior Full Stack Product Engineer will design and own end-to-end business-critical product experiences. Responsibilities include building and shipping user-facing features, turning product goals into practical solutions, and improving usability, clarity, performance, and reliability. Strong experience shipping production web products, frontend ability with React and TypeScript, and backend ability are required.