3281 English-speaking jobs in Lower Silesian Voivodeship

The Quality Assurance Manager ensures accuracy of inventory values and system stock levels across various platforms. Responsibilities include defining and improving inventory processes, resolving discrepancies, and supporting SAP rollouts. The role requires experience in inventory management, knowledge of SAP MM-IM, and strong analytical and communication skills.

Verifies freight invoices for compliance with shipment agreements. Validates Incoterms, weight, and shipment numbers. Requests credit notes or raises debit notes for billing discrepancies. Allocates costs to cost centers. Supports logistic service forwarders and projects.

Junior Team Coordinator to assist with planning, execution, and documentation of team activities. Requires 0.5 years of coordination experience, Upper-Intermediate English, and proficiency in tools like Jira, Trello, and Slack.

Mechanical Engineer will drive innovation from concept to mass production. Responsibilities include CAD modeling, design verification, and collaborating with cross-functional teams. Requires experience in mechanical design, CAD/CAE tools, and GD&T standards.

Senior Project Manager leading complex software projects for global clients. Requires experience in embedded systems, SDLC, agile methodologies, and client relationship management. Fluent English required.

Global Finance Automation Solutions Expert needed. Lead automation initiatives, define automation rules, and collaborate with cross-functional teams. 5-7 years of accounting or finance experience required, with a degree in Accounting, Finance, or related field. Strong process improvement skills and experience with process automation tools are essential. Deep knowledge of ERP systems, especially SAP S/4 HANA or SAP ECC, is required.

Lead the setup and operation of a new Shared Services Center in Poland. Define the operating model, build and lead teams, manage transitions, and establish performance management systems.

R&D Engineer to work on attention-based models. Perform model training, improve architectures, and design experiments. Must have a strong track record in machine learning models research.

Enterprise Architect needed to design and develop scalable, secure, and reusable operational platforms for a global fintech company. Responsibilities include defining technical vision, AI architecture principles, and integration blueprints. Requires 7+ years of experience in technical architecture, system integration, and AI development.

Senior Azure Data Engineer to design, build, and maintain scalable data pipelines and integration workflows using Azure services. Ensure efficient data processing and quality across on-premises and cloud systems. Collaborate with stakeholders to understand requirements and deliver solutions.

Senior Product Manager will lead the strategy and execution for aiR Assist, an AI-powered search product. Responsibilities include defining product vision, collaborating with engineering and design teams, and ensuring answer quality and trust. Requires 5+ years of product management experience, ideally with AI-powered products.

Senior Java Developer will modernize an application to a microservices architecture, develop backend functionality using Java 8+, and collaborate with front-end teams. Requires 5+ years of Java experience, knowledge of React, Spring MVC, Spring Boot, and unit testing.

The ServiceNow Data & Analytics Lead will manage ServiceNow Foundation and CMDB data, ensuring accuracy and governance. Responsibilities include designing dashboards, reports, and analytics, providing data insights for decision-making, and leading data activities within the platform support team. Experience with ServiceNow Foundation Data, IT Operations Management, data modeling, and visualization is required.

Designs and implements secure, scalable cloud and hybrid architectures (Microsoft Azure and multi-cloud environments). Develops and maintains cloud security blueprints, standards, and design patterns. Leads cloud-native and Zero Trust security design initiatives.

Analyze business requirements, translate them into technical specifications, and conduct data analysis to support decision-making and solution design. Collaborate with cross-functional teams to gather requirements and deliver scalable solutions. Ensure effective communication and collaboration within the team and with stakeholders. Monitor and optimize application performance, security, and cost-effectiveness.

Senior Project Manager to lead IT projects from initiation to closure, ensuring objectives are met in terms of scope, quality, and timelines. Manage stakeholder communication, risks, budgets, and align project goals with business strategy.

Senior Data Engineer to design, develop, and maintain Big Data systems using technologies like Databricks, Airflow, Spark, and Azure. Responsibilities include developing data processing pipelines, collaborating on Machine Learning projects, and translating business requirements into technical solutions. Requires at least 5 years of experience implementing Big Data systems, strong Python programming skills, and familiarity with data governance and management processes.

Lead the design, development, and validation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Coordinate with Data Engineering and Software Engineering teams. Present findings and recommendations to stakeholders. Prioritize and control tasks within an Agile/Scrum framework.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Design AI solution architectures, research and select tools and technologies, and understand client needs.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Lead and mentor cross-functional teams, translating business problems into data science problems. Present findings and recommendations to stakeholders. Prioritize tasks within an Agile/Scrum framework.