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Senior Data Engineer / Data Modeller – Finance & Risk Data Platform | SEB | Sweden | Hybrid

SEBSolna21 дн. назад

Коротко

Designs and evolves the target enterprise data warehouse architecture for Finance and Risk data domains, integrating 200+ source systems. · Needs: Deep expertise in enterprise data warehouse design and data modelling; experience with Data Vault 2.0.

Описание от работодателя

Are you a visionary Senior Data Engineer and Data Modeller with deep expertise in enterprise data warehouse design and data modelling, preferably with experience inData Vault 2.0? Join us in transforming our existing GCP data platform into an advanced enterprise data warehouse that reliably integrates more than 200 diverse data sources and helps shape the future of finance. SEB is more than a bank with an IT function. We are a progressive technology company powered by innovation and collaboration. From COBOL to AI and everything in between, we offer an impressive technology landscape and a wide range of career paths. Together, we innovate for a sustainable society and build the technology arena of the future welcoming space for everyone. Are you ready for a new challenge? If so, this could be anopportunity for you. About the role You will play a key role in transforming SEB’s Finance & Risk Data Platform into a modern, scalable, and audit-ready enterprise data warehouse. As part of the FR360 Data Platform team, you will help establish a data architecture that enables the reliable integration of more than 200 source systems while meeting the high standards of a regulated banking environment. Your primary focus will be designing and implementing robust data models that support business reporting, regulatory requirements, historical tracking, and data governance. You will work closely with data engineers, architects, business stakeholders, and Finance and Risk specialists to ensure that data is accurate, traceable, and fit for purposes. Key responsibilities include: Design and evolve the target enterprise data warehouse architecture for the Finance and Risk data domains.