149 English-speaking jobs in Lublin

Senior AI/Data Platform Engineer needed to design, build, and operate scalable, AI-ready data platforms on Google Cloud Platform. Responsibilities include building data pipelines, designing data architectures, and enabling GenAI use cases. Requires 5+ years of experience in data engineering or AI data platform roles, strong GCP experience, and proficiency in Python, SQL, and BigQuery.

Design, build, and operationalize enterprise-grade AI and GenAI solutions in cloud environments. Implement and improve MLOps and LLMOps practices. Build and maintain CI/CD pipelines. Develop monitoring, logging, and observability dashboards. Support versioning, traceability, and management of AI components. Integrate AI solutions with enterprise data sources. Collaborate with AI engineers, data engineers, and software engineers.

Senior Oracle Developer to assess and modernize Oracle E-Business Suite environment. Analyze architecture, identify technical debt, and provide recommendations for improvements.

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 with RPA platforms (preferably Blue Prism) and strong communication skills.

Senior Technical Lead to manage a cross-functional pod, ensuring continuous feature delivery in a 24-hour cycle. Requires 6+ years of software engineering experience with strong Python skills and technical leadership.

UX Analytics Lead will establish and scale analytics across a portfolio of enterprise products. This role will turn user behavior into actionable insights, helping teams design better experiences and deliver measurable product outcomes. Requires 5+ years in product analytics, quantitative UX research, or a related field. Experience with tools such as Amplitude, Mixpanel, Google Analytics, and Python, SQL or similar data querying skills is needed.

Maintain and evolve the Microsoft Fabric platform, ensuring a stable and scalable environment. Manage data pipelines, enhance architecture, and deliver high-quality data models using the medallion approach.

Manage client-facing projects end-to-end, including planning, delivery, and alignment with scope, budget, and expectations. Own 1-3 smaller products within a larger project, focusing on prototyping and iterative delivery. Coordinate internal teams and client stakeholders, identify risks and issues, and manage change requests. Gather and analyze business requirements, translate data into actionable needs, and track progress in Jira. Apply AI solutions in daily work.

Senior Backend Engineer to design, develop, and maintain scalable backend services and APIs. Experience with PHP, Java, Python, Go, RESTful APIs, GraphQL, and SQL/MySQL databases required.

Senior Oracle Developer to assess and modernize an Oracle E-Business Suite environment. Responsibilities include analyzing architecture, identifying technical debt, and recommending improvements. Requires 8+ years of EBS development experience, strong understanding of EBS architecture, and proficiency in SDLC and CI/CD processes.

Azure Architect will design and maintain end-to-end architecture aligned with business and IT strategy. Responsibilities include designing scalable, secure, and resilient Azure-based solutions, leading cloud transformation initiatives, and collaborating with stakeholders to translate business requirements into technical solutions.

Lead the design, implementation, and optimization of VMware-based infrastructures. Experience with VMware vSphere, vSAN, HCX, SRM, NSX, and migration strategies is required. Provide technical leadership, collaborate with cross-functional teams, and leverage automation and AI tools.

Design and operate secure, scalable Azure AI data platforms for advanced AI and GenAI use cases while ensuring robust governance, privacy, and compliance. Implement privacy by design architectures for handling PII and sensitive data, applying data classification, masking, tokenization, anonymization, and access-control strategies. Ensure compliance with GDPR and enterprise data governance standards. Enable GenAI use cases (RAG, semantic search, AI assistants) on governed and secured data. Build and maintain scalable data pipelines (batch and real-time) on Azure.

Senior Data Scientist to develop predictive models and quantitative analytics for risk-based vulnerability prioritization within a large-scale enterprise security program. Requires 5+ years of autonomous data science experience with vulnerability management.

Senior Python Software Engineer to deliver high-impact data analytics and Machine Learning solutions. Collaborate with international teams, research technical options, and contribute to functional and architectural decisions.

Senior Data Engineer to design, build, and operate enterprise-scale data solutions with a focus on on-premises and hybrid data platforms. Responsibilities include designing and maintaining data pipelines, integrating data from various sources, developing and optimizing ETL/ELT processes, and working with architecture, infrastructure, and application teams. Requires experience with SQL, Python, data engineering tools (Airflow, Spark, Hadoop, Kafka), and cloud platforms (AWS, GCP, Azure).

Senior DevOps Engineer will design, implement, and manage CI/CD pipelines and cloud infrastructure. Responsibilities include automating deployments, managing environments, implementing monitoring solutions, and ensuring security and compliance. Requires experience with Azure DevOps, GitHub Actions, Terraform, and Azure cloud services.

Design, build, and evolve business-critical Salesforce applications for global clients. Develop scalable solutions using Apex, LWC, SOQL, and Flows. Architect integrations with external systems and mentor developers.

Senior Full Stack Developer will design, develop, and evolve scalable applications for Capgemini's global AI platform. Responsibilities include building user experiences with React, developing backend services with Node.js and Python, and integrating AI services with enterprise systems.

Lead Workday Financial deployments, conduct client sessions to gather requirements, and propose solutions. Experience in implementing R2R, P2P, O2C, Business Assets, Banking, Expenses, Intercompany, and Workday Finance Certifications required.