243 English-speaking jobs in Lublin Voivodeship

Data Architect will design and evolve data architectures for AI/ML workloads, including fraud detection, risk scoring, and spend optimization. Responsibilities include developing data models, pipelines, and strategies aligned with platform roadmaps. Requires 10+ years of experience in data architecture, cloud native platforms (AWS), and ML operations.

Designs and documents data ingestion flows and data models for an enterprise data warehouse. Translates business requirements into technical documentation for data engineers. Collaborates with stakeholders and development teams to ensure designs meet business needs and adhere to data design principles.

Data Architect to design and maintain data models across agency, advisor, partner, and transactional domains. Responsible for Snowflake warehouse design, identity linkage strategies, and ensuring data reliability for downstream analytics tools. Requires experience with Snowflake, SQL, Azure Blob Storage, and API-driven ingestion patterns.

Leads the design and implementation of AI-driven QA frameworks for enterprise clients. Drives process innovation and automation strategies for ERP, e-commerce, and cloud native applications. Collaborates with clients and internal teams to integrate modern QA methodologies into the SDLC. Evaluates emerging QA technologies and shapes QA approaches for complex environments.

Senior QA Engineer needed for a full-time position (40 hours/week) testing a React Native mobile application. Experience in manual testing, mobile app testing, and understanding of API-based systems is required. Responsibilities include executing regression testing, analyzing CI/CD pipeline failures, and collaborating with developers. Excellent communication skills and attention to detail are essential.

Senior Full Stack Engineer will contribute to a global gig-economy marketplace platform. Responsibilities include designing, building, and maintaining scalable APIs and microservices, developing CI/CD pipelines, and collaborating with cross-functional teams.

Senior Node.js Developer needed for full-time position. Develop and maintain backend services using Node.js and NestJS. Build and support serverless components on AWS (Lambda, Glue, DynamoDB). Experience with microservices and data-heavy backend systems required. Excellent communication and problem-solving skills essential.

Senior Software Engineer needed for full-time position. Requires strong Java backend development experience, API building and integration, and experience with Kafka, relational and NoSQL databases. Responsibilities include client and partner migrations, codebase transitions, and system integrations.

Senior Angular Frontend Developer needed for product launch preparations. Support development across multiple projects, contribute to CI/CD setup, and collaborate with QA. 5+ years of Angular experience, GitHub Actions, and AWS required.

Functional Tester with strong SAP SD knowledge and experience needed for projects with a leading pharmaceutical company. Responsibilities include performing functional and regression testing, ensuring data quality, and collaborating with development teams. Requires experience with SAP BTP, Conga, Jira, and strong analytical and communication skills.

Genesys specialist to design, configure, and improve contact center solutions. Focus on call flows, routing, automation, and AI functionalities. Requires 5+ years of Genesys Cloud experience and ability to translate business needs into technical solutions.

Senior Data Scientist to design, build, and scale production-grade Generative AI systems. Experience with RAG pipelines, LLM orchestration, and fine-tuning is required. Lead LLM-based solution design, build end-to-end GenAI applications, and own critical architectural decisions.

DevOps Engineer to design, build, and operate scalable cloud-native systems on AWS. Focus on infrastructure as code (Terraform), serverless and containerized environments, and system observability. Requires experience with AWS services, Terraform, Linux, monitoring tools, Python scripting, and Agile processes.

Site Reliability Engineer to ensure high availability and stability of a cloud-based SaaS platform. Responsibilities include monitoring, incident response, automation, and CI/CD pipeline support. Requires 2+ years of experience in SRE, DevOps, or Production Operations with AWS, SaaS applications, CI/CD systems, GitOps, Kubernetes, Docker, and observability tools.

Senior SAP TM Consultant will support and shape transportation and logistics solutions for international clients. Responsibilities include analyzing and resolving incidents, designing and implementing solutions, and collaborating with clients and project teams. Experience in SAP TM support and/or implementation projects, strong understanding of logistics processes, and proficiency in English or German are required.

As a SAP EWM Consultant, you will contribute to implementation and support projects for international clients. You will analyze warehouse processes, design EWM solutions, and resolve system issues. You will collaborate with clients and project teams, propose process improvements, and create project documentation.

Senior DevOps Engineer will design, implement, and maintain a scalable, secure, and resilient cloud platform using Azure. Responsibilities include administering CI/CD systems, managing infrastructure as code, and ensuring test environments are optimized. Must have experience with Azure DevOps, Terraform, Kubernetes, and scripting languages.

Junior SAP BPC Planning Specialist will design and develop planning solutions with SAP BPC, focusing on building effective and efficient planning models. Utilize foundational knowledge of SAP Finance and Controlling modules to assist in the integration of financial processes with planning solutions. Collaborate with cross-functional teams to contribute to strategic project development. Engage in continuous learning and improvement within the SAP ecosystem.

Maintain and execute automated regression tests for SPA1 and SPA2, analyzing test results and creating defect reports. Monitor product health in master and release branches.

Senior ML/AI Engineer will deploy ML models, design GenAI solutions, and build data pipelines and ML lifecycle systems. Experience with MLOps/LLMOps, Databricks, Spark, and Azure ML is required.