AWS Data & Analytics Engineer

O projekcie: We are looking for a AWS Data & Analytics Engineer ze znajomością Snowflake to join our Analytics & AI Platforms team. Our Digital Transformation unit operates a global data & analytics cloud platform that supports Data & Analytics products, including ML, AI, and GenAI solutions. As a Cloud Platform Engineer, you will work within a DevOps team to develop, enhance, and operate a scalable, globally distributed Data, Analytics, and AI platform. You will collaborate with Platform & Data Architects, Engineers, and Data Scientists to identify required capabilities and implement new features using CI/CD and Infrastructure as Code best practices. What We Offer - Flexible, hybrid working model - one day a week from the office - Modern office in Warsaw - Career development, mentoring programs, and 360° feedback - Broad access to training and professional development tools - Competitive bonus & reward structure - Company game room (table tennis, table football, PS5, Xbox Series X, massage chairs) Wymagania: Must have: - Minimum 3 years of experience with AWS Data Stack AWS network design, and authentication management—mandatory. - Strong coding skills in Terraform / ARM / Bicep, Infrastructure as Code, CI/CD, GitHub, and GitHub Actions—required. - Solid understanding of cloud-native tools and services for building scalable and efficient data platforms. - Good knowledge of Data Modelling, Data Warehousing, Data Science, and Application Development. - Strong analytical and problem-solving skills with excellent documentation and communication abilities. - Intercultural awareness, willingness to travel, and fluency in spoken and written English. Nice to have: - Experience with Snowflake or Azure Data Stack (including Databricks) is an advantage. - Python or PowerShell coding experience is a plus. Codzienne zadania: - Contribute to the platform roadmap with cloud architects to define requirements for new capabilities across the Data & Analytics stack, GenAI, Data Science, ML, and application development. - Independently plan, design, and implement new platform features and services that meet security, scalability, cost-efficiency, and documentation standards. - Train team members and stakeholders on new platform capabilities and provide clear documentation. - Support platform operations, including lifecycle management, incident resolution, service requests, and automation of operational tasks. - Monitor platform compliance and design AI-driven solutions to ensure efficient, compliant operations. - Collaborate with technology and implementation partners to resolve issues and contribute to shaping the platform roadmap. - Work with central cloud, infrastructure, and cybersecurity teams to adopt best practices and address technical blockers.