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Senior Data Engineer – Snowflake & Cloud Miejsce pracy: Warszawa Technologies we use Expected Python Snowflake Optional Salesforce AWS Google Cloud Platform Microsoft Azure Your responsibilities Design and develop scalable data pipelines and data models on Snowflake Build and maintain production-ready data platforms supporting analytics and ML use cases Work with both structured and unstructured datasets Collaborate closely with data science, analytics, and business stakeholders Ensure data quality, reliability, and performance across data workflows Support deployment and operationalization of ML and AI solutions in cloud environments Translate business requirements into well-designed data models and datasets Our requirements 5 years of experience in Data Engineering, Analytics Engineering, or related roles Strong proficiency in Python Hands-on experience with Snowflake in production environments Experience building and deploying data solutions in AWS, GCP, or Azure Strong understanding of data modeling and data warehousing concepts Experience working with large-scale structured and unstructured data Excellent communication skills and ability to work with non-technical stakeholders Optional Experience with DBT Experience integrating data from systems such as Salesforce Exposure to machine learning pipelines or AI-driven products This is how we organize our work This is how we work in house you focus on a single project at a time you have influence on the product you focus on product development agile This is how we work on a project documentation testing environments What we offer 100% remote work (EU time zones). Long-term, stable cooperation Opportunity to work on production-grade AI and machine learning solutions Modern cloud-based technology stack High level of autonomy and ownership over solutions Support for professional growth and continuous learning Benefits sharing the costs of sports activities private medical care remote work opportunities ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ As Venture Building, we create profitable technology companies from scratch. We collaborate with partners who share similar aspirations and are open to leveraging the potential of their networks, cultivated over years. We regularly launch new projects founded on long-term, amicable relationships with our associates.