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Sista ansökningsdag 2026-05-31

Expert Data Engineer

Nordea Bank Abp, Filial i SverigeTillsvidareanställning (inkl. eventuell provanställning)Publicerad 2026-05-13

Job ID: 4126  Are you excited about transforming complex data landscapes into actionable business outcomes while collaborating with a dynamic, fast-paced team? PeB Analytics is a key unit within Retail Digital, dedicated to advancing maturity, standardization, and scalability in data and analytics solutions to deliver measurable business impact across digital channels for personal banking customers. We’re seeking a Expert Data Engineer who is passionate about treating data as a product and building the robust infrastructure that empowers teams. As a technical lead, you will drive the evolution of the data product platform, collaborating with cross‑functional teams to take data applications from idea to production, ensuring they are built in a secure, ethical, and sustainable manner. About this opportunity Welcome to the Data science & decisioning team. Your passion for working with people from both a technical and a business background, coupled with your curiosity for data and database tools & technology, makes you well-suited for this position. As Nordea pioneers its way into an AI and Gen AI driven future, you will thrive by embracing a dynamic environment, fostering collaboration, and maintaining an open and adaptable mindset. What you will be doing: Provide technical leadership on end-to-end data architecture, including database design, platform architecture, and tool selection, balancing scalability, cost-efficiency, and long-term maintainability Design, develop, and maintain secure, scalable and reliable data infrastructure and pipelines by leveraging existing tools and adhering to internal standards Create and automate ETL processes and data flows to enhance efficiency and accelerate time-to-market Partner with data scientists to streamline workflows for analytics, reporting and AI/ML applications Implement robust data architecture, governance frameworks and best practices across teams Ensure data quality, consistency and accessibility through effect

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