Senior IT Analyst, DRT Data Engineering

• Consolidate and harmonize Payments Data
• Source, store, and distribute Payments Data to other solutions and reporting
• Support integrations for end-to-end payment flows in Nordea’s target payment architecture
• Elicit functional and non-functional requirements with stakeholders in a complex environment
• Clarify, elicit, and translate requirements into implementation specifications with product owners and stakeholders
• Communicate orally and in writing to align stakeholders on shared objectives
• Perform data mapping, data modeling, and solution design with information architects
• Contribute to solution design, application maintainability, and architecture
• Design near-real-time data pipelines and traditional analytics pipelines
• Perform quantitative and statistical data analysis, explain implications, and recommend solutions
• Collaborate with developers and test engineers
• Build relationships with diverse stakeholders
• Own requirements documentation, including use cases, and quality improvement
• Promote analytical excellence, challenge assumptions and old ways of working, and promote best practices across teams

Requirements

• 5 years of experience in designing data-intensive solutions, data architectures, and integration patterns
• Knowledge and hands-on experience in the payment domain, including ISO20022, SEPA, and Swift messages
• Knowledge of banking-sector dynamics
• Understanding of requirement elicitation techniques and analysis
• Expertise translating business requirements into functional and non-functional specifications
• Experience with AI, including Copilot, LLM, and agentic solutions
• Excellent SQL skills, including Snowflake, MSSQL, or similar RDBMS
• Excellent written and spoken English communication skills
• Experience collaborating internationally with different stakeholder groups and cultures
• Experience with one or more cloud platforms such as Snowflake, Azure, or Google is beneficial
• Understanding of domain-driven design, event-sourcing architecture patterns, microservices architecture, and clean code is beneficial
• Understanding of CI/CD, Jenkins, Docker, Kubernetes, REST, Maven, and JUnit is beneficial
• Experience building distributed, highly available, and high-throughput applications is beneficial
• Experience with scalable data products and enabling users to become data-driven is beneficial
• Experience participating in building agentic solutions is beneficial
• Candidates in Finland are subject to security clearance
• Candidates in Poland must include the specified GDPR personal-data processing permit in their CV

Core Competencies

Demonstrates expertise in designing data-intensive solutions and payment architectures, with a strong focus on requirement elicitation and stakeholder alignment. Proficient in SQL and cloud platforms, with a commitment to promoting analytical excellence and best practices.

Highest-signal resume keywords

• Data Architecture Design
• Payment Domain Knowledge
• SQL Proficiency
• Requirement Elicitation
• Cloud Platform Experience

ATS Optimization Keywords

Hard Skills

• Data Mapping
• Data Modeling
• Quantitative Analysis
• Solution Design
• Integration Patterns
• Event-Sourcing Architecture
• Microservices Architecture
• CI/CD
• AI Solutions
• High-Throughput Applications

Soft Skills

• Stakeholder Communication
• Collaboration
• Relationship Building
• Analytical Excellence
• Challenge Assumptions

Certifications & Qualifications

• GDPR Personal-Data Processing Permit

Industry Keywords

• Payments Data
• Banking Sector Dynamics
• SEPA
• Swift Messages
• Functional Specifications
• Non-Functional Specifications
• Distributed Applications
• Data-Driven Solutions
• Agentic Solutions
• Security Clearance

Tools & Technologies

• Snowflake
• Azure
• Google Cloud
• Jenkins
• Docker
• Kubernetes
• REST
• Maven
• JUnit
• ISO20022