Senior Data Engineer in Default Management in SD High Risk and SD C&I

Job ID: 3893

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.

Nordea is a place where traditions meet tomorrow. We’re not just a bank; we’re a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.

About our team

Meet Default Management team in SD High Risk and SD C & I. Our role is to support the lending business by providing data solutions for ongoing loan servicing and monitoring.

What you’ll be doing

Main responsibilities in this role:

• Work with stakeholders in Business to turn their business problems into fit for purpose data solutions
• Take ownership of delivery from requirements to production
• Take ownership of designing and building data models and data pipelines
• Set a high standard for what you deliver, prioritizing long-term reliability, stability, and maintainability over quick fixes
• Stay current with AI assisted development and adopt AI to increase efficiency, maintainability, and reliability

This role is based in Copenhagen, Denmark.

You'll be responsible for:

This is the right role for you if you want to participate in building large-scale data solutions and build solutions that stand the test of time using AI, to do it faster, better and cheaper.

• You don’t wait for detailed specifications – you proactively understand the business domain and ask the right questions to clarify the requirements
• You take ownership of the full lifecycle – from design to implementation and testing – and stand by the solutions you deliver
• You understand what good looks like in data warehousing and build accordingly
• You care about long-term maintainability over short-term fixes
• You use AI as a tool to improve productivity, quality, and speed

Your background and skills include:

• 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 Oracle, PL/SQL, DataStage
• 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

It would be ideal if you also:

• Experience with AI and how AI can support development and operations of large-scale data solutions
• Interest in modern data platforms (e.g. Snowflake, dbt, Airflow)

If this sounds like you, get in touch!