667 English-speaking jobs in Katowice

Senior Big Data Engineer to design, build, and manage data processing pipelines for fraud, compliance, and financial crime solutions. Requires expertise in Spark, Hadoop, Elasticsearch, Scala, and relational/non-relational databases.

Major Incident Manager responsible for managing P1 and P2 incidents, coordinating teams and third parties for resolution, and reporting to top management. Requires experience in Service Management, familiarity with IT infrastructure and ITIL methodology, fluency in English, and the ability to work 12-hour shifts in a 24/7 mode. Fluent French is a plus.

24/7 Major Incident Manager responsible for issue communication, incident management, and reporting to top management. Requires experience in Service Management, IT infrastructure, and ITIL methodology. Must be fluent in English and French is a plus.

Lead the development of modern web applications, crafting high-performance, scalable, and reusable UI components using React. Drive technical decisions, mentor developers, and shape best practices in code quality, accessibility, and performance.

As a Cybersecurity Risk and Resiliency Manager, you will evaluate and assess clients' cybersecurity and resiliency programs, develop risk management strategies and business continuity plans, and conduct compliance and control evaluations. You will also manage Third Party Risk Management (TPRM) processes and provide domain knowledge in cybersecurity. This role requires a minimum of 5 years of experience in Information Security and/or Information Technology with a focus on Information security, including experience with regulations such as ISO 27001 and NIST.

As a Senior Data Integration Specialist, you will expand and strengthen data integration structures, support the evolution toward a hybrid cloud-enabled Data Fabric, and improve the quality, connectivity, and usability of risk management (RM) data across EY. You will enhance and extend the existing RM data warehouse and semantic models, integrate data from multiple internal systems, and build and maintain data relationships, metadata, and documentation.

Support the design, configuration, and implementation of ServiceNow platform solutions. Assist in gathering business requirements, implementing catalog items, workflows, and self-service components. Learn platform best practices and participate in ServiceNow Consulting implementation projects.

Design and develop scalable Java backend solutions, ensuring high code quality and performance. Troubleshoot issues, optimize system behavior, and contribute to architectural decisions. Experience with BPMN 2.0 and tools like Flowable, Camunda, Activiti, or jBPM is required.

Design, implement, and manage security solutions to protect network environments. Maintain security tools and technologies. Lead the design, implementation, testing, and support of security solutions for large or complex projects. Collaborate with IT teams to integrate security measures. Provide expertise in network security, including VPN solutions and firewall technologies.

Support end-to-end implementations of the Now Platform for global clients. Translate business needs into functional and technical solutions. Configure and extend the Now Platform using out-of-the-box features and custom development. Collaborate with stakeholders and guide them in using platform capabilities effectively.

Designs and implements data pipelines for analytics, AI, and Agentic AI systems. Develops data models, semantic layers, and feature models. Leads the design, development, and implementation of data pipelines, ensuring quality, scalability, and secure data access. Analyzes industry trends and provides technical expertise to maximize efficiency and value from data engineering processes.

Senior ServiceNow Developer will support end-to-end implementations of the Now Platform for global clients. Responsibilities include requirement analysis, design, configuration, and development. Collaborate with stakeholders and guide them in using platform capabilities effectively. Experience in ServiceNow implementation projects, proficiency in programming languages, and understanding of ITSM and GRC processes are required.

Leads the delivery of solution or infrastructure development services for large or complex projects. Takes accountability for the design, development, delivery, and maintenance of solutions or infrastructure. Solves complex project aspects, performing coding, debugging, testing, and troubleshooting. Provides advanced technical expertise to maximize efficiency, reliability, and value from current solutions, infrastructure, and emerging technologies.

Lead AI Engineer to design, deploy, and maintain production-grade AI systems. This hands-on role involves mentoring a team, collaborating with stakeholders, and ensuring scalable AI operations. Requires experience with AI agents, MLOps, and containerization (Docker).

Lead ML/AI Engineer needed to design, deploy, and maintain AI agents and automation workflows. This hands-on builder-lead role involves mentoring engineers, collaborating with IT and business teams, and ensuring scalable and secure AI operations.

Senior ML/GenAI Engineer will deploy ML models into production, design GenAI solutions, and build data pipelines and ML lifecycle systems. Requires 5+ years of Data Engineering/Backend/ML Engineering experience, 5+ years of Python, 3+ years of production ML systems, and 1+ year of GenAI/LLM experience.

Senior Data Platform Engineer will design and maintain cloud-native data platforms integrating lakehouse technologies, distributed compute frameworks, and cloud services. Responsibilities include building scalable data pipelines, developing lakehouse capabilities, and enabling analytics workflows. Requires strong Python and SQL skills, experience with Apache Spark, Delta Lake, and dbt, and familiarity with data warehousing solutions.

Design and implement scalable data pipelines and distributed systems using Spark and Python for analytics and reporting. Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability and performance. Collaborate with teams to provide curated datasets and self-service capabilities for reporting and advanced analytics. Integrate and optimize data warehousing solutions such as Databricks and Snowflake. Implement observability and governance frameworks, including data lineage and quality checks. Drive performance tuning and cost optimization across Spark jobs and cloud-native environments. Champion best practices in CI/CD, automated testing, and infrastructure-as-code for data engineering workflows. Participate in on-call rotations.

Creates and maintains statistical forecasts for a portfolio, considering demand drivers and using machine learning models. Analyzes forecast performance, identifies improvement opportunities, and contributes to promotion planning. Requires a bachelor's degree in a relevant field and experience with forecasting techniques and planning systems.

Creates and maintains statistical forecasts for a portfolio, considering demand drivers and forecast performance. Runs machine learning forecasts and disaggregations. Analyzes historical demand performance and collaborates with Demand Planners.