Data Engineer to Financial Crime Prevention | SEB, Solna
Teknik, data och digitalt · Data, AI och analys · Data engineering · Backend · Mjukvaruutveckling
I korthet
SEB is seeking an experienced Data Engineer with strong Java skills for its Financial Crime Prevention team in Solna. The role involves building and maintaining Java-based services and data processing capabilities to detect suspicious behavior and support investigations, working end-to-end in a collaborative environment. This hybrid position offers meaningful work with societal impact and opportunities for growth.
Ansvarsområden
- Build and maintain Java-based services and data processing capabilities for financial crime detection and investigation support.
- Work end-to-end: design, implementation, testing, deployment, and operations.
- Collaborate closely with engineers, analysts, and stakeholders in a highly collaborative environment.
- Build data pipelines (streaming and/or batch) and work with large-scale datasets.
- Develop backend services using Java (e.g., Java 11+) and frameworks like Spring/Spring Boot.
- Implement streaming/messaging (e.g., PubSub) and event-driven architectures.
- Utilize batch processing frameworks (e.g., Beam) and data modeling techniques.
- Familiarize with CI/CD, automated testing, and observability for production systems.
- Use Infrastructure as Code (e.g., Terraform) and work in cloud environments.
- Potentially use schema registry and/or graph databases.
- Apply an analytical mindset to solve complex technical problems.
- Leverage LLMs in development workflows, professionally or through personal projects.
Krav
- Experience building data pipelines (streaming and/or batch) and working with large-scale datasets.
- Solid experience with Java (e.g., Java 11+) and building backend services (Spring/Spring Boot or similar).
- Hands-on experience with streaming/messaging (e.g., PubSub) and event-driven architectures.
- Experience with batch processing frameworks (e.g., Beam) and data modelling.
- Familiarity with CI/CD, automated testing, and observability for production systems.
- Experience with Infrastructure as Code (e.g., Terraform) and working in cloud environments.
- Analytical mindset and ability to solve complex technical problems.
- Curiosity and a drive for continuous learning and professional growth.
- A collaborative team player who enjoys sharing knowledge and learning from others.
- Experience using LLMs as part of your development workflow, either professionally or through personal projects.
Önskade kvalifikationer
- Nice to have: schema registry experience and/or graph databases.
Förmåner
- Meaningful work with real societal impact—helping detect and prevent financial crime.
- Opportunity to explore agentic AI (LLM-based assistants/agents using tool-calling) to improve engineering workflows and investigation support.
- Work with scalable data and integration platforms (streaming and batch) critical to SEB’s financial crime prevention capabilities.
- A team culture striving for short feedback loops using practices such as CI/CD, automated testing, and continuous improvement.
- Flexible work setup: hybrid possibilities and a sustainable work-life balance.
- Opportunities to grow through learning, coaching, and working alongside experienced engineers and domain experts.
#Data Engineering#Financial Crime Prevention#Java#Backend Engineering#Data Processing#Investigations#Spring Boot#Messaging#Event-driven architectures#Batch processing#Data modelling#CI/CD#Automated testing#Observability#Infrastructure as Code#Terraform#Cloud environments#AI#LLM