371 2022 Pomeranian Voivodeship English-speaking jobs in Katowice

Senior ServiceNow Developer will design, develop, and implement ServiceNow solutions to support business processes. Responsibilities include customizing applications, collaborating with stakeholders, and providing ongoing support. Requires 5+ years of ServiceNow development experience, ServiceNow certifications, and expertise in JavaScript, HTML, CSS, and web technologies.

Technical Architect to lead the design and implementation of cloud contact center solutions. Define end-to-end architectures, integration patterns, and scalable solutions across platforms like Amazon Connect or Genesys. Guide development teams, ensure adherence to best practices, and collaborate with stakeholders to deliver secure, high-performing solutions.

Business Architect to design scalable contact center solutions. Translate business needs into actionable architectures. Experience with contact center solutions (Amazon Connect or similar), process design, and Agile methodologies required. Fluent English essential.

Lead a team shaping data architecture, defining robust models, and designing APIs for Olympic Games technology. Experience with XML, JSON, YAML, Python, TypeScript, OpenAPI, and Swagger is required.

Senior Dynamics 365 CRM Functional Consultant drives creation of system requirements and designs solutions based on Dynamics 365 CRM and Power Platform for medium to large organizations.

Fullstack Developer (Node.js) to build a global sports product. Develop and deploy modern, high-performance systems using Node.js, Next.js, TypeScript, and React. Experience with REST APIs, databases, and testing required.

Senior Engineer specializing in Microsoft Copilot Studio will design, build, and deliver advanced AI assistants for enterprises. Responsibilities include developing custom connectors, conversational capabilities, and ensuring solutions meet security and performance standards.

Deloitte's Salesforce Practice seeks a Marketing Cloud Architect with 5+ years of experience designing, building, and executing complex Salesforce Marketing Cloud solutions. The ideal candidate holds Salesforce Marketing Cloud Consultant and Developer certifications and has experience integrating SFMC with external systems.

Lead Data Engineer to design and develop scalable data management architectures and platform solutions using technologies like Spark, Hadoop, and AWS. Responsibilities include designing data governance processes, developing CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7+ years of experience in implementing Big Data systems, strong Python or Java/Scala skills, and a Master's or Ph.D. in a related field.

Data Engineer to design and develop data platforms using Databricks, Spark, and other Big Data technologies. Projects include data platform development for aerospace companies, data platform transformation for an energy management association, and data transformation pipelines for a global car manufacturer. Requires 3+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in cloud environments (Azure preferred).

Senior Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Airflow, Spark, and other Big Data technologies. Experience with cloud environments (Azure preferred), data modeling, and SQL is required.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Projects involve Spark, Cloudera, Airflow, Iceberg, Python, AWS, Azure, and Databricks. Requires 3+ years of experience with Big Data systems, data governance, and cloud environments.

Senior Data Scientist / ML Engineer will design, implement, and validate Machine Learning models to support business objectives. Responsibilities include researching, testing, and selecting AI solutions, understanding client needs, and architecting data pipelines. Requires 5+ years of experience in AI, proficiency in Python and ML libraries, and knowledge of cloud environments (AWS or Azure).

Senior AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production solutions. Responsibilities include building and enhancing backend components using Python and frameworks like FastAPI, ensuring code quality, and participating in deployment and maintenance in a cloud environment.

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures, research and select tools and technologies, and translate business problems into data science problems. Architect and oversee data pipelines and workflows, coordinate with engineering teams, and present findings to stakeholders.

Develop and maintain analytical models, create advanced DAX measures, and design operational dashboards for business decision-making.

Develop state-of-the-art integration solutions using TypeScript and AWS services. Requires 1-4 years of backend development experience, in-depth TypeScript knowledge, and experience with SOAP and REST protocols.

Junior Data Engineer will design and develop data processing pipelines for streaming and batch data using technologies like Databricks, Airflow, and Dagster. Responsibilities include collaborating with the Data Science team on Machine Learning projects, developing data transformations, and translating business requirements into technical solutions.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

Senior Data Engineer to design and develop data processing platforms for automotive and aerospace clients. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Airflow, Kafka), cloud environments (AWS), and programming languages (Python, Java/Scala). Excellent communication and client management skills are essential.