As a member of our Finance team, you will be an integral part of our "Financial Transformation" project, aimed at providing the Finance department with accurate and well-structured data. This role involves integrating seamlessly with source systems and establishing data layers that meet business requirements. Your primary responsibilities will include implementing the Data Layer of the application, sourcing data from legacy systems, and suggesting new approaches to enhance our processes and methods.
You will join an international team based in Copenhagen, Warsaw, and Stockholm, all working together to build a data foundation for the future while enabling the business to meet current demands. The team places a strong emphasis on continuous learning and improvement, ensuring that we stay up-to-date with the latest skills and technologies.
As a member of our Finance team, you will be an integral part of our "Financial Transformation" project, aimed at providing the Finance department with accurate and well-structured data. This role involves integrating seamlessly with source systems and establishing data layers that meet business requirements. Your primary responsibilities will include implementing the Data Layer of the application, sourcing data from legacy systems, and suggesting new approaches to enhance our processes and methods.
You will join an international team based in Copenhagen, Warsaw, and Stockholm, all working together to build a data foundation for the future while enabling the business to meet current demands. The team places a strong emphasis on continuous learning and improvement, ensuring that we stay up-to-date with the latest skills and technologies.
,[Design, develop, and maintain the Data Layer for our new solution. , Source data from legacy solutions using a cloud-based architecture. , Utilize SQL Server, Azure Functions, and Azure Web Apps in the solutions architecture. , Develop robust and efficient code in Python, leveraging PySpark and other relevant frameworks. Requirements: Python, SQL, Azure, Spark Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects.