151 English-speaking jobs in Lublin Voivodeship

Data Scientist with 5+ years of experience building predictive models (churn, propensity, segmentation, CLV, recommendations) using Python and SQL. Analyze consumer and marketing data, optimize customer journeys, and translate findings into actionable business recommendations.

Data Engineer role processing large-scale data to deliver analytics solutions. Requires 5 years of experience, proficiency in Python/PySpark, AWS/Databricks, and Kubernetes. Focus on data pipeline maintenance and enhancement.

DevOps Engineer for Platform Team modernizing cloud infrastructure and building scalable platform engineering solutions. Requires 5+ years in Platform Engineering/DevOps, experience with large-scale Kubernetes, and strong Python skills.

Lead Enterprise AI Architect to define AI strategy and scalable architecture for a healthcare organization. Requires 10 years in enterprise solution architecture and 5 years in enterprise AI/ML, with expertise in Azure, Azure OpenAI, and RAG.

Senior MLOps Engineer needed to support SaaS environments using Azure. Responsibilities include building infrastructure for AI/ML, optimizing CI/CD, and automating ML development processes. Requires experience with DevOps tools and scripting.

Senior Java Engineer develops the core back-end platform for a digital marketing company. Requires 6 years of experience in large-scale applications, distributed systems, and expert SQL knowledge. Must be proficient with Kubernetes and AWS services.

Senior DevOps Engineer with ML/AI for Azure. Design and manage infrastructure for AI/ML or HPC workloads, optimizing CI/CD for Azure SaaS applications. Requires expertise in scripting (PowerShell/Bash) and configuration management.

Support and operate AI/ML solutions in a regulated banking environment. Responsibilities include L2/L3 support, monitoring model performance, and ensuring platform stability using AWS, Docker, and Kubernetes. Requires MLOps knowledge and Python proficiency.

Data Engineer role focused on designing, building, and maintaining ETL processes using Python, PySpark, and Azure Databricks. Responsibilities include managing large-scale data pipelines, optimizing SQL, and ensuring data quality within an Agile team.

Forward Deployed Engineer to design and build production-ready AI agent solutions at the intersection of business and engineering. Translate workflows into technical implementations using AI platforms and cloud technologies.

Lead Business Analyst for a large-scale enterprise transformation in the financial domain. Drive requirements definition, collaborate with cross-functional teams, and ensure solutions align with strategic objectives using Agile methodologies.

Senior Windows Drivers Engineer to build and enhance the Windows agent. Design low-level components, including kernel drivers and user-mode services, using C++ and KMDF. Requires deep knowledge of Windows internals and debugging skills.

Senior Data QA Engineer needed for a large-scale database migration from Oracle to Azure MS SQL. Responsibilities include building Python automation frameworks, defining testing processes, and validating data accuracy and integrity. Requires advanced SQL and experience with database testing.

Senior .NET Developer to refactor and expand a ticket selling system. Requires 7+ years of .NET development experience, C#, WebAPI, microservices, unit testing, and experience with DBMS systems.

Senior Business Analyst to design and implement scalable automation solutions for investor relations and private equity content. Collaborate with stakeholders to gather requirements, translate them into technical specifications, and ensure alignment with business expectations and compliance.

Designs Azure cloud architecture for large-scale data and analytics platforms. Architects end-to-end infrastructure and automation pipelines on Azure. Guides engineering teams in cloud and data best practices.

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.

Database Administrator will support enterprise database solutions for financial sector clients. Responsibilities include database administration, maintenance, performance tuning, and collaborating on cloud transformation projects.

Shape user experiences for Neo, Capgemini's AI platform. Coordinate end-to-end UX delivery, ensuring designs are consistent, intuitive, and ready for implementation across conversational and non-conversational experiences. Translate complex AI use cases into clear user journeys and ensure high-quality, trustworthy interactions.

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.