1825 English-speaking jobs in Lower Silesian Voivodeship

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.

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.

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 maintain Java-based and Spark-based Big Data processing pipelines for Comscore. Ensure scalability and performance for high-volume, multi-tenant, and distributed data processing pipelines. Collaborate with cross-functional teams to integrate platforms and ensure smooth data flow. Troubleshoot and debug issues to improve system stability.

Experienced Full Stack Developer needed for a greenfield open-source platform. Responsibilities include building and developing a Krypton micro frontend, designing and implementing micro frontend architecture, and developing Kubernetes controllers. Strong experience with React or Angular, TypeScript, Kubernetes controller development, and Go is required.

Design, develop, and maintain web applications using Angular and Java. Participate in all stages of the software development lifecycle. Develop backend services and APIs, contribute to cloud-based solutions on AWS, and collaborate with cross-functional teams.

Design, develop, and test Mendix applications and business models. Provide Mendix architecture consultancy to clients. Collaborate with analysts and testers to ensure code quality. Minimum 3 years experience as a Mendix Developer.

Designs and implements AI solutions, including Generative AI, LLM based workflows, and Agentic AI components, supporting automated and assisted decision making in financial processes. Executes end-to-end testing of AI solutions and AI agent workflows. Collaborates with SMEs and technical teams to design, implement, and optimize data pipelines. Evaluates model and agent performance, identifying opportunities for continuous improvement.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.