193 English-speaking jobs in Lublin

Program Manager to lead the end-to-end delivery of a platform modernization program to a modern microservices architecture. Manage multiple work streams, stakeholder relationships, and delivery teams. Track AI efficiency metrics and manage commercial cadence. Seven plus years of program and project delivery experience in complex, multi-track environments required. Proven experience managing platform modernization programs and strong understanding of SAFe frameworks.

Manage vendor governance, purchase order lifecycles, and financial controls within S/4HANA and Ariba environments. Support vendor performance and financial controls, and coordinate with global delivery partners. Requires 5+ years of experience in SAP vendor or financial operations roles.

Experienced Veeva Consultant needed for a global biotech project. Focus on Veeva Vault RIM and/or Quality. 5+ years of experience in system configuration, implementation, and validation. GxP experience and strong change management skills required. Must reside in Poland.

Program Manager to lead the modernization of the Quality Engineering (QE) function, overseeing the adoption of automation tools and AI-driven testing methods. Will manage cross-functional teams, define program scope, and ensure successful delivery of new AQA capabilities. Requires 5+ years of program/project management experience in Quality Engineering, software testing, or related areas. Familiarity with Playwright MCP, TypeScript, and AI-driven testing tools is essential.

Develop AI agents, reusable AI components, and integrate LLMs with enterprise systems for a governed AI platform in the financial services industry.

Design and develop cloud-native microservices using Node.js and Python. Build IAM solutions based on OAuth2, OIDC, and JWT. Create serverless applications on AWS and collaborate with cross-functional teams.

Experienced BI Expert to design and deliver scalable Business Intelligence solutions using Power BI and Tableau. Responsibilities include developing dashboards, acting as a BI strategy advisor, optimizing BI solutions, and collaborating with stakeholders. Requires 5+ years of experience in BI or Data Analytics with strong technical expertise in Tableau and Power BI.

AI Backend Engineer needed to build and maintain production backend services using Python and Django. Contribute to React-based frontend applications and leverage AI tools to accelerate development. Requires 6+ years of software engineering experience, production experience with Python and Django, and experience with AWS services and Kubernetes.

Principal Consultant in Data & Analytics will build and nurture relationships with senior client stakeholders to drive revenue growth within existing strategic accounts. Responsibilities include co-developing account plans, identifying data opportunities, leading complex data architecture programs, and contributing to strategic deliverables. Requires 10+ years of experience in data and analytics consulting, advisory, or senior engineering roles with a focus on customer-facing senior consulting positions.

Designs, builds, and integrates generative AI solutions in enterprise environments using Azure AI Foundry and AWS Bedrock. Develops full-stack GenAI applications, AI agents, and cloud infrastructure.

Senior Data Analyst needed for a full-time position. Transforms large-scale data into actionable business intelligence for major brands. Requires 5+ years of experience as a Senior Data Analyst or similar role, advanced SQL skills, and experience with advertising campaign analysis. Must be proficient in Python or R, BI tools, and have a strong understanding of advertising measurement concepts.

Senior iOS Engineer to lead and develop captivating mobile applications using Swift. Requires 8 years of software development experience, 6 years focused on native iOS applications, and 1 year of commercial experience with SwiftUI. Must have a strong understanding of iOS architectures and familiarity with Apple's Human Interface Guidelines.

Senior Computer Vision Engineer will design, develop, and maintain SDKs, port and deploy machine learning models across diverse hardware, and optimize model performance.

Lead and deliver VMware-based server virtualization projects, including design, implementation, optimization, and troubleshooting. Experience with VMware vSphere, vSAN, migration tools (HCX, SRM), and alternative platforms (Nutanix, OpenShift) is required. Provide technical leadership, collaborate with cross-functional teams, and drive automation.

Full Stack Engineer for Neo at Capgemini will build the next generation of a Group-wide AI platform. Responsibilities include developing frontend applications using React, backend services with Node.js, and AI/LLM components in Python.

Designs and implements AI solutions, including Generative AI, LLM based workflows, and Agentic AI components, supporting automated and assisted decision-making in financial processes. Executes end-to-end testing of AI solutions and AI agent workflows. Collaborates with SMEs and technical teams to design, implement, and optimize data pipelines. Evaluates model and agent performance, identifying opportunities for continuous improvement.

Lead technical design and influence product strategy for scalable software solutions. Develop software architectures, assess technical delivery, and drive process improvement. Collaborate with stakeholders, contribute to product roadmap, and resolve complex technical issues.

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.

Senior Lead Engineer (AI) will design, implement, and lead the technical delivery of AI-powered capabilities across frontend, backend, and integration layers. Responsibilities include architecting scalable frontend solutions, developing backend services, integrating Python-based AI/LLM solutions, and collaborating with cross-functional teams.

Senior Python Software Engineer to deliver high-impact solutions for data analytics and Machine Learning projects. Collaborate with international teams in an Agile environment.