Nordic banking group modernizing core systems and launching AI-driven products
Danske Bank is a 150+-year-old public financial services group with 22,000 employees across Nordic and Baltic regions, actively replacing legacy infrastructure with cloud-native architecture. The tech stack reveals a hybrid Microsoft/.NET foundation (C#, SQL Server, Entity Framework) layered with AWS services (ECS, Lambda, SQS, SNS) and open-source orchestration (Kubernetes, OpenShift), while adopting Kafka and Databricks—a pattern consistent with moving away from batch-heavy Azure integration tooling toward event-driven, real-time data pipelines.
Notable leadership hires: Data Engineering Lead, Chapter Lead, Property Valuation Lead, Chief Architect, Engineering Lead
Danske Bank provides banking, insurance, asset management, and real-estate brokerage services to individuals, families, businesses, and organizations across Denmark, Sweden, Finland, Norway, and the Baltics. The group operates across personal, business, corporate, and private banking segments, with advisory and wealth management as core service lines. The organization is undergoing significant technology transformation, moving core systems from on-premises and Azure infrastructure to AWS, implementing event-driven data platforms, and building generative AI capabilities for customer-facing and operational use cases. Regulatory compliance and data governance are structural priorities across all initiatives.
Primary stack: .NET, C#, Java, SQL Server, PostgreSQL, AWS (Lambda, ECS, SQS, SNS), Azure, Kubernetes, OpenShift. Adopting: Kafka, Databricks, Hadoop, GitHub Enterprise, Copilot Studio. Replacing: Node.js, Azure DevOps, SQL Server Integration Services.
GenAI platform and use-case implementation; open banking APIs; event-driven, near real-time analytics pipelines; AWS-native data platform; decision flow automation; third-party risk rating models; customer journey mapping and premium product rollouts.
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