Recovery Data Expert Data Engineer

Nordea; Helsinki; On-site; EUR 50,000 - 70,000; Full time

Job summary

Nordea is seeking a Data Engineer based in Helsinki, Finland to join the Recovery Data team. You will build and run data solutions supporting the bank's credit risk models and ensure regulatory compliance.

Your responsibilities include collaborating with stakeholders, designing data models, and building data pipelines. A degree in a technical field and strong experience in data engineering are required, along with proficiency in SQL and Python.

This role prioritizes long-term maintainability and value-added insights.

Qualifications

• Strong experience in data engineering and data warehousing, building large-scale data solutions.
• Comfortable taking full ownership from requirements to production.
• Excellent data modelling skills.

Responsibilities

• Work closely with stakeholders to turn business problems into data solutions.
• Take ownership of designing and building the Recovery data model.
• Design and build data pipelines.

Skills

Data engineering

Data warehousing

SQL

Python

AI development

Education

Degree in Computer Science or related field

Tools

Snowflake

dbt

Airflow

Git

CI/CD

Job description

Job ID: 3810

About Our Team

Meet the Recovery Data team. Our role is to build and run the Recovery and Loss data solution for high risk customers. The solution primarily supports the bank's credit risk models and ensures regulatory compliance while adding value by providing data‑driven insights into improving debt management strategies, operational efficiency, and customer outcomes. We pride ourselves on delivering high quality automated Recovery and Loss data with accuracy, completeness, and strong governance.

Main responsibilities in this role

• Work closely with stakeholders in Business to turn their business problems into fit‑for‑purpose data solutions
• Gain deep understanding of the Recovery data domain to take ownership of designing and building the Recovery data model
• Take ownership of delivery from requirements to production with long‑term sustainability in mind
• Design and build data pipelines
• Design and develop technical enablers focused on automating everything
• Act as guide to the technical team, ensuring development standards and solid engineering practices are followed
• Set a high standard for delivery, 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

Who You Are

This is the right role for you if you:

• Don’t wait for detailed specifications – you proactively understand the business domain and ask the right questions to clarify the requirements
• Take ownership of the full lifecycle – from design to implementation and testing – and stand by the solutions you deliver
• Understand what good looks like in data warehousing and build accordingly
• Seek to develop deep domain knowledge
• Care about long‑term maintainability over short‑term fixes
• Use AI as a tool to improve productivity, quality, and speed

Your background and skills include

• Degree in Computer Science, Computer Engineering, Information Technology, Data Engineering or a relevant technical field
• Strong experience in data engineering and data warehousing, building large‑scale data solutions
• Comfortable taking full ownership from requirements to production
• Strong SQL and Python skills
• Experience with modern data platforms (Snowflake, dbt, Airflow)
• Excellent data modelling skills
• Experience with enterprise API integration
• Solid engineering practices (Git, CI/CD, automated testing)

It would be ideal if you also

• Have experience with AI and how AI can support development and operations of large‑scale data solutions

Location

The role is based in Helsinki, Finland.