157 English-speaking jobs in Lublin Voivodeship

Analyze, measure, and optimize the performance of DPU-based systems. Develop and execute performance tests and benchmarks for DPU components. Collaborate with software, firmware, and hardware teams to drive optimizations.

Data Architect / Analyst needed for a 16-week project (0.5 FTE). Responsibilities include managing program delivery, defining data catalog requirements, collaborating with SMEs, designing data models, and enhancing data quality frameworks. Requires experience with Microsoft Purview, Snowflake, conceptual data modeling, business glossary creation, and data quality methodologies. Strong program management and communication skills are essential.

Experienced Analog Layout Engineer needed for FinFET technology. Design and implement analog layouts for advanced nodes, ensuring compliance with design rules and optimizing for performance, reliability, and manufacturability.

Finance Technology Consultant will co-create SAP Data & Analytics offerings, design analytics platforms, and lead pre-sales activities. Requires experience with SAP Business Data Cloud and/or FP&A, understanding of finance processes, and experience in solution design and consultative sales.

Neo Enterprise Engineering Manager Miejsce pracy: Lublin Technologies we use Expected React. js Angular Vue. js JavaScript TypeScript Node.

Defines and evolves cloud infrastructure architecture and environment strategy. Ensures performance, scalability, and reliability across development, quality assurance, and production environments. Leads and coordinates infrastructure activities with engineering, reliability, security, and architecture teams.

Design, implement, and maintain automation solutions using Blue Prism. Analyze business processes, translate needs into automation designs, and mentor developers.

Lead Data Science activities across streams, ensuring methodology, model quality, and evaluation practices. Define experimentation frameworks, test protocols, and prompt evaluation methods. Supervise model interactions with Neo's knowledge base for accuracy and relevance. Guide Data Scientists in model refinement using insights from the feature intake process. Work with engineering and architects to ensure model integration readiness.

Leads the Neo engineering team, ensuring high-quality delivery and technical standards for the Group-wide AI platform. Manages the design, build, and evolution of AI platform components, collaborating with cloud engineering to ensure scalability, performance, and reliability.

Manages feedback intake, classifies user insights, and triages feedback items to support product prioritization. Analyzes qualitative data, identifies patterns, and translates them into actionable outcomes. Coordinates with product, engineering, UX, and support teams.

Designs, operates, and maintains enterprise-class virtualization platforms based on VMware and Nutanix technologies. Ensures high availability, performance, security, and resilience of Wintel and Windows-based virtual environments. Provides expert-level support during major incidents and contributes to post-incident reviews.

Lead and coach the Agentic engineering team to deliver agent-based features for Neo, Capgemini's AI platform. Oversee the design, build, and evolution of agentic platform components and implement best practices for agentic development and MLOps. Coordinate with product, AI research, cloud, and change teams to translate needs into solutions.

The UI/UX Delivery Manager will coordinate and structure the delivery of user experience for Neo, Capgemini's AI platform. This role ensures design work is consistent, aligned with product priorities, and ready for engineering implementation.

Maintain and execute automated regression tests for SPA1 and SPA2, analyzing test results and creating defect reports. Monitor product health in master and release branches to ensure system stability and quality.

Data Scientist or Biostatistician with 3-5 years of experience analyzing clinical trial and/or real-world healthcare data. Applies statistical and data science methods to generate insights from healthcare datasets. Collaborates with cross-functional teams to support projects related to clinical studies, real-world evidence, and healthcare data analysis.

Designs, builds, and supports custom web applications across various enterprise environments. Provides user support with APIs and datasets. Manages cloud infrastructure using Infrastructure-as-Code tools like Terraform. Requires 2+ years of experience in platform engineering or a similar role with expertise in Linux, Python, Docker/Kubernetes, and DevOps practices.

Experienced Infrastructure/Network Project Manager to lead complex IT initiatives across multiple teams. Manages dependencies, ensures alignment, and drives delivery in a distributed environment. Requires experience managing complex projects, coordinating work across teams, and understanding IT infrastructure and networking concepts.

Dataiku Specialist needed to design data pipelines, implement machine learning models, and govern Dataiku DSS projects. Requires Dataiku expertise, data engineering skills (SQL, Python), and machine learning knowledge.

Lead the implementation and optimization of SAP's integrated solution for electronic invoicing and statutory reporting. Design, configure, and integrate SAP DRC (formerly eDocument Framework) for end-to-end e-invoicing and tax reporting processes. Ensure compliance with global and local legal requirements (e.g., KSeF, JPK, Peppol). Collaborate with FI, SD, and MM teams to ensure seamless data flow. Oversee integration with communication platforms like SAP BTP or SAP Integration Suite.

DevOps Platform Engineer to design and build a self-service platform for cloud infrastructure provisioning and automation. Responsibilities include developing Jenkins pipelines, managing Helm charts, and collaborating on scalable infrastructure solutions. Requires strong AWS, Kubernetes, and Terraform experience.