echoloc

Danske Bank Tech Stack

Nordic banking group modernizing core systems and launching AI-driven products

Financial Services Copenhagen, Capital Region of Denmark 10,001+ employees Founded 1871 Public Company

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.

Tech Stack 200 technologies

Core Stack.NET AWS Java Spring SQL Server RabbitMQ Docker OpenShift GitHub C# PostgreSQL Azure DevOps Terraform Kubernetes PL/SQL Grafana AWS Lambda JUnit NET Core Entity Framework Azure Web API Spring Boot Spring Security Liquibase AWS ECS AWS SQS AWS SNS Mockito SOAP+170 more
AdoptingOpenShift AWS Kafka Databricks Hadoop C# GitHub Enterprise Copilot Studio
ReplacingNode.js Azure DevOps SQL Server SQL Server Integration Services

What Danske Bank Is Building

Challenges

  • Migrating legacy systems to aws cloud
  • Moving to the cloud
  • Process automation
  • Ensuring compliance with regulatory requirements
  • Replacing legacy systems
  • Optimising and automating assessment processes
  • Acquiring new customers
  • Acquiring newly established businesses
  • Ensuring data availability
  • Migrating services to aws

Active Projects

  • Genai platform development
  • Decision flow automation
  • Third-party risk rating model
  • Rollout of premium concept
  • Establishing new reporting mechanisms
  • Aws-native data platform
  • Event-driven pipelines for near real-time analytics
  • Open banking platform
  • Customer journey mapping
  • Genai use case implementation

Hiring Activity

Accelerating370 roles · 190 in 30d

Department

Finance
83
Engineering
64
Sales
47
Data
42
Ops
31
Security
17
Support
16
Marketing
12

Seniority

Senior
139
Mid
129
Lead
24
Intern
23
Manager
17
Junior
16
C-Level
9
Principal
6

Notable leadership hires: Data Engineering Lead, Chapter Lead, Property Valuation Lead, Chief Architect, Engineering Lead

Company intelligence

Find more companies like Danske Bank by tech stack, pain points and active projects

Get started free

About Danske Bank

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.

HeadquartersCopenhagen, Capital Region of Denmark
Company Size10,001+ employees
Founded1871
Hiring MarketsLithuania, Denmark, Cyprus, Poland, Finland, Sweden, United Kingdom, Norway

Frequently Asked Questions

What tech stack does Danske Bank use?

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.

What is Danske Bank working on?

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.

Similar Companies in Financial Services

Other companies in the same industry, closest in size