Senior Data Engineer in Rating & Limit Management

Senior Data Engineer in Rating & Limit Management

Job ID: 3953

Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank and its surrounding environment to enable the Customer Vision and the Business Strategy.

We are looking for a Senior Data Engineer who is passionate about taking full ownership of designing and building data solutions end‑to‑end, from understanding requirements to delivering production‑ready systems that last.

About the team

Meet the Limit Management technology team. We build and maintain digital solutions that support how corporate credit decisions are made across the bank.

Our systems help credit professionals efficiently assess financial data, manage credit limits, and evaluate risk. We focus on creating reliable and intuitive tools that simplify complex workflows and support high‑quality decision making.

Responsibilities

• Ensure real‑time limit checks and regulatory‑compliant limit exposure monitoring
• Orchestrate integrations from exposure data sources to credit decision systems
• Support limit data services for risk monitoring and reporting
• Support the foundational phase of the new data engineering team, turning business problems into data solutions
• Take ownership of designing and building data models and pipelines
• Drive modernization from requirements to production, transitioning from fragmented local systems to a unified solution
• Build trusted partnerships with business and stakeholders through effective communication, discussing technical concepts and ensuring alignment throughout the development process
• Drive quality and technical leadership by setting high delivery standards, emphasizing long‑term reliability and maintainability, and championing modern engineering practices (TDD, design patterns, clean architecture)
• Pioneer AI adoption by implementing AI‑assisted development practices (e.g. GitHub Copilot, internal agents) to improve engineering productivity

Qualifications

• Strong experience in data engineering and data warehousing, building large‑scale data solutions. You know what good looks like in modern data warehousing.
• Ability to design data warehouse solutions, with a focus on simplicity and maintainability.
• Hands‑on experience with Snowflake, dbt, Airflow.
• Comfortable taking full ownership from requirements to production.
• Eager to understand the business domain so that you can turn their problems into robust and maintainable data solutions.
• Solid experience with CI/CD, pipeline orchestration, and modern data engineering practices.

Preferred

• Experience with AI and how AI can support development and operations of large‑scale data solutions.

Who you are

• Natural investigator – you don’t wait for detailed specifications, but proactively understand the business domain and ask the right questions to clarify the requirements.
• Holistic solution owner – you take ownership of the full lifecycle from design to implementation and testing, and stand by the solutions you deliver.
• Data modeler – you understand what good looks like in data warehousing and build accordingly.
• Strategic thinker – you care about high quality, consolidation and standardization, prioritizing long‑term maintainability over short‑term fixes.
• Innovation driver – you use AI as a tool to improve productivity, quality, and speed.