141 English-speaking jobs in Lublin

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. Collaborates with product, data, and change teams to align technical work with business priorities. Requires a degree, experience managing engineering teams in AI/ML, platform, or cloud environments, and strong understanding of AI/ML concepts, MLOps workflows, and model operationalization. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is also required.

AgileEngine seeks a contract Zuora Billing & Revenue Specialist to manage a live Zuora environment. Responsibilities include designing pricing models, product catalogs, and revenue rules, resolving complex billing issues, and ensuring data flow between Zuora and other enterprise systems. Requires 4+ years of Zuora Billing and Revenue experience, ASC 606/IFRS 15 knowledge, and strong API and data flow troubleshooting skills.

Senior Consultant to lead IT projects for financial institutions, primarily insurance companies. Coordinate Agile implementations, lead business analysis, and mentor team members. Requires 5+ years of experience in IT projects for the financial sector, understanding of insurance business models, and strong English communication skills.

Lead process intelligence projects using Celonis, Power BI, SQL, and ERP systems (SAP, Oracle). Manage consultants, translate business needs into solutions, and validate analytics outputs.

Senior Application Support Engineer will ensure stability and performance of telecom charging and billing platforms. Responsibilities include providing production support, monitoring, and maintenance of Oracle BRM, ECE, PDC, and OCOMC components.

Subject Matter Expert will lead and support application migration projects utilizing DBB/Git/IDD solutions. Responsibilities include installation, configuration, problem determination, analysis, conversion, and validation of Endevor applications. The role also involves providing technical support, conducting training sessions, and collaborating with teams to ensure successful project delivery.

We are seeking an AI Developer to design, build, and deploy AI/ML solutions on Google Cloud Platform. Responsibilities include developing and deploying models using Vertex AI, BigQuery ML, Document AI, and Gemini API, building ML pipelines, and ensuring solutions meet production standards.

SAP BI Consultant will design and develop applications using SAP technologies, collect requirements, propose solutions, implement ETL processes, design data models, and visualize data.

Senior DevOps Engineer will design and implement CI/CD pipelines, manage cloud infrastructure, and automate deployments. Responsibilities include managing development and production environments, implementing monitoring solutions, and ensuring security and compliance.

Drive end-to-end process mining implementations, translating business needs into analytical insights and optimizing business processes.

Lead process intelligence projects, ensuring high-quality outcomes and supporting business transformation initiatives. Translate business needs into solutions, oversee data models and analytics outputs, and guide stakeholders in leveraging analytical insights.

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.

Data Steward will validate product data accuracy, upload data into the PIM system, and resolve data gaps. Responsibilities include supporting business teams, clarifying data requirements, tracking product data and launch status, and maintaining syndication templates. Requires 3+ years of data management experience, proficiency in Excel, and fluency in English.

Java Developer will create, implement, and test software using modern technologies. Responsibilities include adding functionalities, troubleshooting problems, preparing documentation, and collaborating with team members. Requires 3+ years of Java experience, Spring frameworks, Hibernate/JPA, microservices architecture, and web APIs.

Lead regulation and homologation processes for international markets, acting as a Product Safety Assessor. Analyze and apply standards like ISO 26262 and EN 50126. Work with global teams to ensure compliance.

Capgemini seeks an expert to bridge client needs, sales, and delivery teams for SAP Data & Analytics. This role combines shaping analytics vision with growing sales. Responsibilities include co-creating offerings, designing analytics platforms, leading pre-sales activities, and advising clients on financial and management analytics.

Defines and upholds Data Science standards for Neo, Capgemini's AI platform. Guides experimentation, evaluation, and refinement of AI models. Coordinates Data Science contributions for new features.

Senior Software Developer will design, configure, and deploy AI agents in Microsoft Copilot Studio. Responsibilities include integrating agents with Power Apps and Power Automate, building custom connectors, and supporting conversational AI features. Proficiency in Power Automate, Python, and low-code development is required.

Senior RPA Developer (Blue Prism) will design, develop, and optimize automation solutions. Responsibilities include translating business requirements into Blue Prism workflows, mentoring developers, and collaborating with stakeholders. Requires 2+ years of experience developing automation solutions using RPA platforms (preferably Blue Prism), strong technical skills, and excellent communication skills.

Design and develop automation workflows using UiPath to improve efficiency and reduce manual work. Implement, test, and deploy solutions following coding standards. Analyze processes and identify RPA optimization opportunities. Build scalable solutions using UiPath and object-oriented principles.