725 English-speaking jobs in Wrocław

Experienced Manager, AI Consulting needed to design and implement data science solutions for business challenges. Lead teams, mentor data scientists, and drive innovation in AI/ML technologies. Requires 10+ years IT experience, 5+ years in leadership roles, and expertise in data engineering, machine learning, and Python.

Senior Platform Engineer will design and maintain internal platforms, focusing on self-service tools and streamlined workflows. Responsibilities include guiding the adoption of AI technologies (GenAI, AI agents, AIOps) and integrating development tools. The role requires experience in platform engineering, CI/CD pipelines, cloud platforms (AWS, Azure, or Google Cloud), containerization (Docker and Kubernetes), and infrastructure as code tools (Terraform, CloudFormation, Bicep).

Lead a team of consultants in SAP SD, focusing on Sales Order Management. Requires 10 years of SAP SD experience, including contracts and ATP, and S/4HANA knowledge.

Senior Consultant to develop and execute Enterprise-wide Data Management & Governance Strategy programs. Lead assessments, build technology solutions, and support business development. Requires 3+ years of consulting experience and expertise in Data Governance Operating model & Policies, Data Quality, Master Data Management, Metadata Management & Data Cataloging, Data Lineage, Data Compliance.

Data Governance Consultant will implement and optimize data governance practices using Informatica Cloud Data Governance and Catalog. Responsibilities include defining data governance frameworks, driving onboarding processes, and ensuring platform integration. Requires 2 years of experience in data governance or consulting, strong Informatica Cloud Data Governance and Catalog implementation skills, and knowledge of metadata management and data quality practices.

Senior SAP SD/MM Consultant needed to provide application expertise for order-to-cash and procure-to-pay processes. Requires SAP certification, 3+ years in SAP O2C/P2P consulting, and experience delivering SAP changes.

Principal Data Technology Consultant to advise clients on leveraging digital data technologies to enhance business performance. Responsibilities include defining technology strategy, roadmap creation, and ensuring the adoption and sustainability of data solutions. Requires strong experience as a Data Technical Consultant and Data Solution Architect with expertise in Data Engineering, Data Warehousing, Data Science, and Data Governance.

Shape end-to-end enterprise architecture, guide delivery teams, and partner with clients to build scalable software solutions. Analyze applications, develop roadmaps, and design prototypes and architecture documents. Provide technical guidance on cloud, hybrid, and on-premises solutions. Oversee solution implementation and provide technical support.

EPAM Data Practice seeks a Manager, Data Analytics Consulting with a Life Sciences background to help customers create data strategies, design data platforms, and support data-driven transformation. Responsibilities include leading teams, mapping customer needs to solutions, mentoring clients, and managing consulting engagements.

Lead the integration and implementation of Salesforce CRM with external systems, designing scalable architecture and ensuring data integrity. Guide large technical teams to deliver solutions aligned with business goals in the telecommunications domain.

Senior Copilot Developer will design and develop Microsoft Copilot agents using Copilot Studio, integrate agents with enterprise systems via APIs, and ensure secure and compliant agent deployments.

Lead Platform Engineer will design, build, and maintain internal platforms to empower development teams. Responsibilities include developing tools, integrating AI technologies, and ensuring platform reliability. Requires 5+ years of experience in platform engineering, cloud platforms, container technologies, and infrastructure as code.

Leads the design, development, and deployment of intelligent multi-agent systems combining reasoning, decision-making, and autonomous execution. Designs multi-agent architectures, builds advanced context and memory capabilities, and develops custom RAG and vector-based retrievers. Orchestrates tools via MCP, scripts in supported languages, and architects secure, auditable pipelines. Integrates observability tools and creates reusable workflow templates and documentation.

Lead the design of integration solutions for a large-scale ERP transformation program, focusing on Microsoft Dynamics 365 Finance & Operations (D365 F&O). Define and govern the integration architecture, ensuring connectivity with enterprise systems during migration from SAP.

Lead the integration and implementation of Salesforce CRM & CPQ with external systems, focusing on data integrity and scalable solutions in telecommunications. Guide large development teams, ensuring technical solutions align with business goals.

Lead AI Engineer will design, implement, and maintain end-to-end AI applications, including chatbots and agent workflows. Collaborate with clients to deliver LLM-driven solutions. Develop and manage data pipelines, refine AI system performance, and stay current with LLM technologies.

Lead C++ Engineer to implement observability across the software development lifecycle. Responsibilities include building and operating large-scale monitoring platforms, establishing observability standards, and driving customer-experience measurement for latency-sensitive market data systems. Requires 7+ years of experience in observability engineering, proficiency in C++, and expertise in metrics, tracing, and logging.

Senior AI Engineer to design and implement production-grade agentic workflows, pipelines, and AI-powered product experiences. Will collaborate with cross-functional teams to define architecture, drive technical initiatives, and establish engineering standards for AI systems. Requires 8 years of commercial software engineering experience (Python preferred) and 3 years of shipping LLM/GenAI features to production at scale.

Senior Scala Developer to design, develop, and enhance backend services, optimizing large-scale applications. Requires 5 years of Scala backend experience, system performance tuning, and using AI assistants.

Design end-to-end test strategies, build automation frameworks (frontend/backend), and lead QA activities across multiple projects. Requires 10+ years in QA, C# proficiency, and experience with CI/CD.