1870 English-speaking jobs in Lower Silesian Voivodeship

Data Engineer to maintain and evolve the Microsoft Fabric platform, ensuring a stable and scalable environment. Responsibilities include managing data pipelines, enhancing architecture, and delivering high-quality data models. Requires strong understanding of Microsoft Fabric architecture, medallion architecture, and experience with Python (PySpark) for data processing.

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.

Develop and maintain Java and Angular/React applications for public service clients. Design new features, modernize systems, and integrate components in Kubernetes environments. Collaborate with architects, product teams, and domain experts.

Senior Python Software Engineer to deliver high-impact data analytics and Machine Learning solutions. Collaborate with international teams, research technical options, and contribute to functional and architectural decisions.

Build and deliver Java applications, working with microservices, cloud, and both front-end and back-end. Contribute to good programming practices, deliver test coverage, and participate in Scrum and code reviews.

Shape user experience for Neo, Capgemini's AI platform. Coordinate end-to-end UX delivery, ensuring designs are consistent, intuitive, and ready for implementation across conversational and non-conversational experiences. Translate AI use cases into clear user journeys and ensure high-quality interactions.

BlackLine SME / Senior Managing Consultant will guide clients through large-scale transformations using automation and technology solutions. Responsibilities include leading BlackLine implementation projects, facilitating client meetings, and collaborating with client subject matter experts. Requires BlackLine deployment certification, experience implementing BlackLine solutions, and strong communication skills.

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.

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.

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.

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.

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.

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.

Senior Java Developer to design, build, and operate backend services for fintech platforms. Experience with Java, Spring Boot, microservices, and SQL/NoSQL databases required. Strong communication and collaboration skills essential.

Senior Java Developer to design, build, and operate backend services for fintech platforms. Experience with Java, Spring Boot, SQL, and NoSQL databases required. Strong communication and collaboration skills essential.

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.

SAP FI/CO Consultant provides L3 technical support, including configuration changes, implementation, and testing. Requires 10 years of professional experience, at least 8 as an SAP Consultant, and minimum 4 years with SAP FI/CO module.