Nordea: Expert IT Analyst - data engineering area

Detailed description of work task to be carried out

• Eliciting requirements (functional and non-functional) by collaborating with different stakeholders in a complex environment. Our vision is to go beyond requirements and understand purpose
• Interacting with product owners and stakeholders to clarify, elicit, and translate requirements into implementation specifications

  Communicating effectively both orally and in writing to align the wide range of stakeholders on shared objectives

• Data mapping, data modeling and solution design
• Contributing to solution design, maintainability, and architecture of applications
• Designing near real-time data pipelines
• Performing quantitative data analysis to understand identified issues, and explaining implications and recommending solutions
• Collaborating with developers and test engineers
• Engaging with many different stakeholders. The person we are looking for is communicative and has skills to build relationships
• Taking responsibility for requirements documentation (including use cases) and quality improvement
• Accessing complex and distributed datasets and performing statistical analysis
• Promoting analytical excellence by influencing colleagues, challenging assumptions/old ways of working, and promoting best practices across teams

Must-have knowledge and experience

• Proven experience in designing data intensive solutions
• Knowledge and hands-on experience in the banking industry
• Understanding of the importance of requirement elicitation techniques and analysis
• Expertise in ensuring that business requirements are translated into functional and non-functional specifications
• Experience with AI (Copilot, LLM, and agentic solutions) and the ability to drive new ways of working in our ambition to adopt AI to deliver faster and more automated solutions
• Excellent skills in SQL (Snowflake, MSSQL)
• Excellent written and spoken English communication skills, and experience with international collaboration with different stakeholder groups and cultures
• Experience with Snowflake and Dbt
• Understanding of practices like domain-driven design, event-sourcing architecture patterns, microservices architecture, and clean code
• Experience with scalable data products and the concept of removing barriers for users in becoming data driven