1832 English-speaking jobs in Lower Silesian Voivodeship

Senior RPA Developer (Blue Prism) will design, develop, and optimize automation solutions. Responsibilities include translating business needs into scalable automation designs, mentoring developers, and collaborating with stakeholders. Requires 2+ years of experience developing automation solutions using RPA platforms (preferably Blue Prism).

Establish and scale analytics across a portfolio of enterprise products. Analyze user behavior to identify areas for improvement and translate data into actionable recommendations for design and product teams. Define and standardize UX metrics, structure user journeys, and design experiments.

Designs, builds, and delivers high-quality Mendix applications. Works with stakeholders, architects, and developers to translate requirements into robust, scalable, and user-friendly solutions. Implements application logic, data models, integrations, and UI components.

Build and maintain a Group-wide AI platform connecting employees with tools, data, and workflows. Develop frontend applications using React, backend services with Node.js, and Python-based AI components.

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.

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.

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.

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 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.

As a System Analyst, you will analyze changes to mortgage decision processes, maintain decision-related systems, and prepare documentation to ensure transparency and alignment. You will collaborate with stakeholders to clarify requirements and system behavior.

Develop tools to collect and aggregate data from trading systems. Design and implement data pipelines to process network packet captures for low-latency network analysis. Build monitoring solutions with anomaly detection for network traffic and system metrics. Collaborate with the team to optimize trading strategies and improve system performance.

Lead a team of developers in designing and implementing software solutions. Make technical decisions related to architecture, integration, and development processes. Translate business requirements into technical specifications. Oversee the development lifecycle, ensuring adherence to best practices.

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.

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.

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.

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.

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.

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.

Develop intuitive user interfaces and application logic for machine applications using Qt and C++. Requires expertise in object-oriented programming, Qt framework, and performance optimization.