211 English-speaking jobs in Lublin

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.

As an HR Data & Reporting Analyst, you will develop, enhance, and govern reporting & analytics solutions for a client. You will analyze workforce datasets, identify trends, and translate findings into clear narratives to support business decisions. You will also prepare reports and dashboards using platforms like Workday, Oracle HR, SAP HR, and Power BI.

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.

Principal Consultant in Data & Analytics will build and nurture senior-level relationships with strategic customers. The role focuses on growing revenue within existing accounts by identifying data opportunities and leading complex data architecture and strategy programs. Requires 10 years of experience in data and analytics consulting, advisory, or senior engineering roles, with at least 5 years in customer-facing senior consulting positions.

Designs, builds, and optimizes cloud-native data platforms and analytics solutions on Google Cloud Platform. Leads architectural decisions, defines data models, and ensures scalability and reliability. Requires 5+ years of experience in data architecture, data engineering, or similar roles with strong GCP expertise.

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. Experience with JavaScript, React, AWS, Kubernetes, and API design is required. Contribute to product and technical direction in a fast-paced environment.

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.

Design, build, and integrate generative AI solutions using Azure AI Foundry and AWS Bedrock. Develop full-stack GenAI applications, AI agents, and cloud infrastructure.

Manages end-to-end tax compliance and statutory reporting for a global client. Oversees an external provider and leads a team to ensure timely and high-quality delivery. Acts as the main point of contact for stakeholders, driving process improvements and collaboration.

Leads end-to-end talent acquisition (TA) transformation across processes, technology, and operating models. Designs future-state TA strategy, roadmap, and maturity improvements. Implements AI solutions for sourcing, screening, matching, and insights. Redesigns and optimizes the full recruitment lifecycle. Builds and enhances modern TA tech ecosystems. Advises senior leaders on TA solutions aligned to business needs. Manages global TA transformation initiatives.

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 Lead Engineer for Neo Enterprise will drive the technical delivery of AI-powered capabilities across frontend, backend, and integration layers. Responsibilities include leading the design and implementation of scalable frontend solutions, developing backend services, integrating AI/LLM solutions, and collaborating with cross-functional teams.