225 English-speaking jobs in Lublin

Salesforce Consultant will advise and guide insurance and financial clients through Salesforce implementation. Lead end-to-end Salesforce solutions in the insurance and finance sectors. Work with clients to design and implement solutions aligning with their business goals.

Business Analyst to join a consulting team supporting IT projects for financial institutions, primarily insurance companies. Responsibilities include business analysis, defining functional requirements, testing solutions, and collaborating with developers. Requires a bachelor's degree, fluency in English (C1 level), and understanding of agile methodologies.

Data Engineer will build and launch data pipelines and models in Azure cloud environments. Collaborate with clients, implement best practices, and optimize analytical solutions.

ServiceNow Developer will perform configuration, customization, and development activities. Experience with ServiceNow development, JavaScript, AngularJS, HTML/CSS, and relational databases is required. Fluency in English, German, or French is necessary.

Develop a Kubernetes Operator for a Red Hat MicroShift platform, enabling mTLS for containerized applications. Design secure key handling and integrate with hardware security (TPM).

Leads and coaches the Agentic engineering team to deliver agentic features for Neo, Capgemini's AI platform. Oversees the design, build, and evolution of agentic platform components. Implements best practices for agentic development, experimentation, and MLOps. Coordinates with product, AI research, cloud, and change teams. Drives innovation by identifying and integrating new agentic and autonomous system technologies.

GRC Consultant will define and implement robust protection requirements for a backend hosted on AWS based on BSI baseline protection. Responsibilities include risk analysis, compliance advising, and coordinating with stakeholders to ensure compliance with regulatory standards.

Designs, operates, and maintains VMware and Nutanix-based virtualization platforms supporting critical business services. Ensures high availability, performance, security, and resilience of Wintel and Windows-based virtual environments.

Leads the engineering team responsible for building and operating Neo, Capgemini's AI platform. Manages the design, build, and evolution of platform components, ensuring scalability, performance, and reliability. Partners with product, data, and change teams to align technical work with business priorities. Requires a degree in computer science/engineering or a related field, experience managing engineering teams in AI/ML, platform, or cloud environments, and strong understanding of AI/ML concepts, MLOps workflows, and model operationalization.

Leads the cloud infrastructure for Neo, a Group-wide AI platform, ensuring performance, scalability, and security. Coordinates infrastructure activities with engineering, reliability, security, and architecture teams. Establishes infrastructure standards, documentation, and operational guidelines. Manages interactions with Google Cloud teams.

Coordinates and plans UI/UX activities for new features on Neo, Capgemini's AI platform. Ensures UX deliverables are consistent, aligned with product priorities, and ready for engineering implementation. Translates feature requirements into UX deliverables and manages the design-to-delivery workflow.

Lead and develop a team of engineers to deliver user-facing AI experiences for Neo, Capgemini's AI platform. Drive delivery of chat, agents, knowledge retrieval, and feedback loops. Ensure scalable, performant, and maintainable frontend architecture using modern frameworks. Collaborate with Product, UX/UI, AI/ML, Backend, Security, Cloud, and QA teams. Translate business needs into engineering plans and standards.

Act as a trusted local CISO for external clients, advising on IT and cybersecurity risks across applications and projects. Ensure alignment with risk and defense frameworks and embed security by design and by default.

Data Science Lead will define and uphold Data Science standards for Neo, a Group-wide AI platform. Responsibilities include guiding experimentation, evaluation, and refinement of AI models, and coordinating Data Science contributions for new features. Requires a Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, or a related field and 7+ years of experience in Data Science, including NLP, retrieval-augmented systems, LLMs, or applied AI solutions.

As the Feedback Loop Lead, you will structure, operate, and improve the feedback collection process for Neo, Capgemini's AI platform. You will manage user insights, translate them into actionable outcomes, and ensure consistent communication with product and engineering teams.

Develop and optimize Android and iOS mobile applications. Ensure performance, quality, and responsiveness across devices. Connect apps to backend systems via APIs. Collaborate with designers, developers, and product managers.

Administers and maintains on-premises and cloud-based infrastructure environments. Supports server, storage, virtualization, backup, and monitoring solutions. Performs routine maintenance, patching, and configuration changes. Troubleshoots incidents and infrastructure-related issues. Creates and maintains technical documentation.

Network Administrator will manage, monitor, and troubleshoot enterprise network environments. Responsibilities include building, administering, and troubleshooting IP networks, providing 2nd line support, and creating technical documentation.

Administers and supports Microsoft Intune, Entra ID, and Microsoft 365 services in hybrid and cloud environments. Configures endpoint management, deploys software, and manages collaboration tools. Requires proficiency in Intune, Entra ID, and M365, experience with application packaging, and strong customer service skills. Fluency in English is required, German is a plus.

Designs, develops, and maintains Power BI reports and dashboards. Creates data models, relationships, measures, and calculations using DAX. Integrates data from various sources and writes KQL queries for telemetry, logging, and monitoring data. Collaborates with stakeholders to deliver reports and analytics.