1729 English-speaking jobs in Lower Silesian Voivodeship

Develop AI agents, reusable AI components, and integrate LLMs with enterprise systems for a governed AI platform in the financial services industry.

Senior Business Analyst to design and implement scalable automation solutions for investor relations content production and approval workflows. Collaborate with stakeholders to gather requirements, translate them into documentation, and coordinate with developers. Experience with content automation platforms and private equity materials required.

Program Manager to lead the modernization of the Quality Engineering (QE) function, overseeing the adoption of automation tools and AI-driven testing methods. Will manage cross-functional teams, define program scope, and ensure successful delivery of new AQA capabilities. Requires 5+ years of program/project management experience in Quality Engineering, software testing, or related areas. Familiarity with Playwright MCP, TypeScript, and AI-driven testing tools is essential.

Prototype Engineer (PoC Builder) will turn business ideas into working prototypes, supporting client-ready solutions. Experience in solution engineering, software development, or architecture is required.

Senior .NET Developer to develop and maintain C#/.NET components for integration with a third-party portfolio management tool. Collaborate with teams to understand platform requirements and architecture.

Senior Data Engineer to design and implement a unified Spanner based data platform combining relational, graph, and vector data models. Responsibilities include schema design, query optimization, CDC pipeline development, and data synchronization. Requires strong data engineering background, experience with Google Cloud Spanner, advanced SQL skills, and proficiency in Python.

Senior Data Architect will design and govern a unified relational, graph, and vector data ecosystem. Responsibilities include designing data architecture, implementing data governance frameworks, and developing scalable ingestion pipelines. Requires experience designing data platforms, data governance, real-time data processing, and proficiency in SQL, Python, and Google Cloud Platform services.

Senior Data Architect with data engineering experience will design and evolve data architectures for client-facing proof of concepts and accelerator solutions. Develop and maintain scalable data pipelines and integrations. Collaborate with AI and engineering teams to enable data foundations for intelligent systems. Translate business requirements into technical solutions.

Lead LIMS Engineer to provide ongoing support, configuration, and enhancement for Thermo Scientific SampleManager LIMS. Serve as the primary subject matter expert, collaborating with lab users and IT teams to maintain a compliant and reliable system.

Senior Software Engineer to develop SALOG, KuehneNagel's core platform supporting global forwarding. Develop features, write and own code leveraging AI agents, and direct AI agents to deliver innovative solutions.

Senior .NET Backend Developer to develop and maintain backend solutions for automotive aftersales and spare parts systems. Focus on processing and connecting large volumes of product and aftersales data. Requires strong .NET experience, data structures understanding, and experience with PDM data.

Addepto seeks a Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions in GCP. Responsibilities include building solutions for collecting, processing, and analyzing LLM token usage data, optimizing BigQuery datasets, and collaborating with cross-functional teams.

The Senior IAM Specialist designs, implements, and maintains IAM solutions to ensure secure access across the organization's systems and applications. This role involves collaborating with cross-functional teams, leading IAM projects, and providing expertise on authentication, authorization, and identity governance.

The ML Platform Reliability & Infrastructure Engineer will design, implement, and optimize the infrastructure for an AI-driven drug discovery platform. Responsibilities include profiling and optimizing model serving runtimes, implementing observability across the platform, hardening Kubernetes workloads, and improving the resilience of asynchronous job pipelines.

AI Scientist will design and deliver AI solutions for drug discovery and early drug development. Responsibilities include building and deploying production-ready AI systems, applying Graph ML to biomedical problems, and collaborating with scientific teams.

Senior C#/.NET engineer sought for a long-running, business-critical system. Responsibilities include designing, developing, and maintaining backend solutions, building mobile applications with Cordova, and working with complex business logic in large enterprise environments. Requires 8+ years of full stack .NET/C# development experience with Angular or AngularJS, API development, and experience with relational databases.

Senior Multimedia Software Engineer will design, develop, and validate frontend software for Toyota's infotainment and cockpit platforms. Responsibilities include software development, collaboration with cross-functional teams, technical leadership, and quality assurance. Requires a Master's degree in a related field, 5+ years of experience in embedded and/or frontend software development, and proficiency in Flutter, Java, Dart, C++, Rust, and Python.

Develop and maintain data ingestion pipelines, onboard new data sources, and contribute to the Azure-based data platform. Solid understanding of data pipeline design, development, and maintenance is required. Experience with Databricks and monitoring/orchestration tools is essential. Strong communication skills in English are necessary.

Designs, builds, and maintains cloud platform solutions using GCP. Develops and manages Infrastructure as Code (Terraform) for scalable environments. Builds and enhances CI/CD pipelines and supports migration activities.

Designs, builds, and maintains scalable data pipelines on GCP. Develops and optimizes data models using BigQuery and dbt. Builds and manages real-time and batch data processing using Kafka. Ensures data quality and reliability across pipelines. Collaborates with Data Architects, Platform Engineers, and Analytics teams.