GCP Cloud Data Engineer
Warsaw based opportunity with a hybrid work model - 2-3 day/week in the office.
As a Cloud Data Engineer you will be working for our client, a dynamic and fast-growing technology company that delivers tailored IT and engineering solutions, including web platforms, e-commerce systems, mobile applications, and AI-based systems. The client provides end-to-end development and maintenance of Google Cloud services, supporting organizations in their digital transformation. For one of their key partners, a leading FMCG company in Europe - they are seeking a Cloud Data Engineer to join a long-term project in Warsaw focused on modernizing analytics and reporting capabilities through Google Cloud technologies.
GCP Cloud Data Engineer
Warsaw based opportunity with a hybrid work model - 2-3 day/week in the office.
As a Cloud Data Engineer you will be working for our client, a dynamic and fast-growing technology company that delivers tailored IT and engineering solutions, including web platforms, e-commerce systems, mobile applications, and AI-based systems. The client provides end-to-end development and maintenance of Google Cloud services, supporting organizations in their digital transformation. For one of their key partners, a leading FMCG company in Europe - they are seeking a Cloud Data Engineer to join a long-term project in Warsaw focused on modernizing analytics and reporting capabilities through Google Cloud technologies.
,[Analyze business goals and translate them into efficient data solutions, Design, build, and maintain scalable data pipelines and integration mechanisms, Develop and optimize data models to support analytics and reporting needs, Implement and maintain data governance standards and documentation, Collaborate with cross-functional teams to define and deliver business requirements, Monitor, troubleshoot, and optimize data workflows and system performance, Recommend architectural and engineering improvements in data infrastructure, Work closely with application providers to develop and enhance data flows, Automate data ingestion, transformation, and quality control processes, Ensure security, compliance, and consistency across all data environments Requirements: SQL, Google Cloud Platform, Python, Git, Degree, BI, Qlik Sense, Looker, Tableau, Google Cloud Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects.