Data Analyst / Engineer // Keboola

Delivering innovative solutions and services that help other companies succeed in the digital world - that's the mission of one of the top 5 consulting firms, a global leader in digital technology, cloud services and cybersecurity. #Consulting #Digital #Technology #Security With extensive experience, the company delivers IT services to almost every sector - be it automotive, medical, retail or fintech. In total, you can count more than 40 such areas for Fortune500 companies. We offer you the opportunity to participate in projects for large international and local companies. Join a team of IT professionals and contribute to the transformation of the digital world! • more than 9,000 clients in 120 countries • in the Czech Republic: 2,100 employees from dozens of nationalities• expertise in data modeling or data warehouses (DWH) • knowledge of SQL and Python • experience with tools like Power BI, Tableau, Qlik, Cognos, or ThoughtSpot is an advantage • understanding the software development lifecycle (SDLC) in data projects is a plus • experience with data warehouse testing is also an advantage • fluent communication in English • ability to work 1-2 days a week in the Prague office During your work, you will receive support from your buddy, who will introduce you to the systems, and a people lead, who will be taking care of your professional growth, ensuring you have a clear career direction.We are looking for a candidate who will not only be responsible for designing and implementing data architecture according to the principles of Kimball, Inmon, Data Vault and others but also for analyzing data requirements in collaboration with the project team and designing efficient data models. You will become part of successful project delivery in a cloud environment (GCP, AWS, MS Azure) and also have the opportunity to develop your skills in on-premise technologies (Oracle, MS SQL, Teradata). • designing and implementing data architecture using modern principles and technologies • providing analysis in the creation of efficient data models • collaborating with the project team on the successful delivery of projects in a cloud environment • participating in projects across various industries such as insurance, banking, automotive, and others