170 English-speaking jobs in Lublin

Implement and customize Salesforce solutions for insurers and banks. Create guided flows using Omnistudio and Flows. Configure, integrate, and customize Salesforce software to meet client needs.

Regional Business Lead will own performance across acquisition, sales, retention, and teaching cost efficiency. Requires 3+ years in business performance, strategy, or growth roles with strong analytical and unit economics thinking. Experience with P&L metrics and fast-growing B2C businesses is essential. Advanced English required.

Full-Stack Architect needed for a full-time position. Develop and maintain full-stack applications, analyze application stacks, and manage scalable solutions on AWS. Requires 5+ years of experience in front-end development, UI design, and application development. Expertise in React, .NET, MySQL 8, Elasticsearch, ECS, K8S, and Docker is essential.

Senior Data Engineer will design, build, and scale cloud data platforms for clients. Responsibilities include designing data pipelines, leading technical design of cloud data architectures, and collaborating with stakeholders. Requires 4+ years of experience as a Data Engineer, 2+ years with cloud platforms (Azure preferred), strong Python and SQL skills, and expertise in DWH data modeling and ETL/ELT architectures.

Automation QA Engineer needed for full-stack testing of backend APIs, frontend UIs, and AI workflows. Define test strategies, frameworks, and quality gates for scalable platforms. Experience with Python test frameworks, API testing, and CI/CD integration required.

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

Designs and architects scalable GenAI solutions for enterprise projects using Azure AI Foundry and AWS Bedrock, with a focus on AI agents. Develops architecture and integration concepts for enterprise AI applications and translates business needs into secure cloud architectures. Collaborates with stakeholders and project teams throughout the project lifecycle.

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.

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 cross-functional teams. Track program roadmap, milestones, dependencies, and AI efficiency metrics. Manage SAFe delivery execution, risk management, and 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.

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.

Solution Architect to design and build data platforms, data warehouses, ETL processes, and Machine Learning solutions on Azure. Experience with Databricks, Azure infrastructure, and Cloud Adoption Framework required.

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.

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.

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, mentor, and grow a team of engineers, driving greenfield initiatives and large-scale projects. Ensure timely, high-quality delivery through effective planning and execution. Provide technical leadership in architecture and engineering best practices.