1814 English-speaking jobs in Lower Silesian Voivodeship

Experienced SAP MDG Consultant needed to support master data and integration initiatives. Responsibilities include completing BPDDs, defining data quality rules, and supporting client URS completion. Requires experience with SAP MDG, master data, and process documentation.

FullStack Developer (m/f) to develop modern web applications using Angular, Java, and related technologies. Will implement software, support development teams, and advise customers on business process implementation. Requires advanced experience with JavaScript, TypeScript, Angular, Java, Spring Boot, Gradle, and SQL.

Experienced SAP Fiori Consultant needed for S/4HANA Private Edition greenfield implementation. Design, configure Fiori apps, roles, and authorizations. Collaborate with functional teams (O2C, R2R, P2P, Supply Chain).

Data Analyst will work on IT projects for financial institutions, conducting business analysis, defining requirements, and supporting testing phases. Requires 3+ years of experience in the financial sector, knowledge of Snowflake/Databricks, and strong SQL and Excel skills. Must be fluent in English and have experience with Agile methodologies.

Develop and optimize a modern tech stack featuring a robust Golang backend and a dynamic React/Next.js frontend. Work with a cutting-edge technology stack, be part of an international team of developers, and collaborate with the customer service team to create streamlined and efficient processes.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Experience with Python, Docker, Git, and CI/CD is required. Familiarity with frontend frameworks is a plus.

Senior Data Engineer to work on projects involving automotive data, a global aerospace data platform, and a centralized reporting platform for a US telecommunications company. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and collaborating with cross-functional teams. Requires 5+ years of experience implementing Big Data systems, strong Python skills, and experience with technologies like Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg.

Design and implement scalable data processing pipelines for streaming and batch processing using technologies like Databricks, Airflow, and/or Dagster. Contribute to the development of CI/CD and MLOps processes. Develop applications to aggregate, process, and analyze data from diverse sources. Collaborate with the Data Science team on Machine Learning projects.

Lead the design, development, and validation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select AI solutions 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.

Develop and maintain a high-performance data processing platform for automotive data. Design and implement data pipelines that process large volumes of data in both streaming and batch modes. Optimize data workflows using Spark, Cloudera, and Airflow. Collaborate with cross-functional teams to understand data requirements.

Senior Data Engineer to support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Responsibilities include designing, developing, and maintaining ADF pipelines, configuring linked services and datasets, and monitoring, troubleshooting, and optimizing pipelines. Experience with Azure Data Factory, Databricks, Python, SQL, and CI/CD processes in Azure DevOps is required.

Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. Configure and manage linked services and datasets within ADF. Monitor, troubleshoot, and optimize ADF pipelines. Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer. Translate business requirements into technical solutions. Develop and maintain Python-based components. Contribute to CI/CD processes in Azure DevOps. Support occasional Power BI reporting and dashboarding needs.

As a Pre-Sales Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform capabilities and aligning them with business goals. You will lead technical discovery sessions, design solution architectures, and create technical proofs of concept to support proposals. You will collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales to project implementation.

Data/MLOps Engineer to design, build, and maintain ML infrastructure, ensuring scalable and reliable production-ready solutions. Responsibilities include deploying ML lifecycles, managing cloud infrastructure, and collaborating with Data Scientists. Requires strong Python, Apache Spark, and AWS experience, along with MLOps expertise and CI/CD pipeline knowledge.

Senior Platform & Backend Engineer needed to design, evolve platform architecture, and develop backend services. Requires 5+ years of backend engineering experience, cloud experience, and hands-on experience with Infrastructure-as-Code and CI/CD. Must have strong communication skills and experience with Java/Spring, event-driven architectures, Azure, and relational databases.

Administers and supports SQL Server and related database services. Maintains data integrations and designs/implements new data feeds. Develops, supports, and optimizes data warehouse processes and data models. Develops and maintains BI components using T-SQL and Microsoft technologies. Designs, builds, publishes, and maintains Power BI reports and semantic models. Works with business users to gather requirements and translate them into BI solutions. Monitors and resolves incidents related to BI operations. Collaborates with system, network, security, and application administrators. Participates in BI and corporate initiatives.

Supports, maintains, and enhances Point of Sale (POS) solutions in a multi-brand retail environment. Integrates POS platforms with eCommerce, ERP, and CRM systems. Provides L2/L3 support for business-critical retail systems.

Design, develop, and maintain scalable backend services using Python and Node.js. Build APIs and microservices supporting business-critical applications. Contribute to architecture decisions and promote engineering best practices. Work with cloud-native solutions and distributed systems in Azure environments. Develop and maintain CI/CD pipelines and deployment processes. Collaborate with cross-functional teams to deliver high-quality software solutions.

Software Engineer (Performance) will analyze performance bottlenecks, collaborate with dev teams on performance improvements, and develop load and performance tests for the Home Connect IoT Platform.

Senior .NET Developer to create applications for the financial industry, utilizing .NET, SQL, NoSQL, Cloud, RESTful web services, and AI technologies. Experience in Capital Markets domain and 5+ years of commercial experience in .NET development required.