Senior Data Engineer - End-to-End Data Solutions (Hybrid)

Nordea; København; Hybrid; DKK 309,000 - 447,000; Full time

Job summary

Nordea is seeking a Senior Data Engineer to own end-to-end data solutions, from requirements to production, with a focus on robust data pipelines and scalable data warehousing. The role spans Poland (Gdańsk/Warsaw) with a hybrid work model and opportunities to leverage AI for efficiency and reliability.

You will collaborate with the Default Management team in SD High Risk and SD C&I to deliver production-ready data systems, driving long-term maintainability and data quality.

Qualifications

• Extensive experience in data engineering and data warehousing.
• Hands-on with Oracle, PL/SQL, DataStage.
• Own full data solution lifecycle from design to production.
• Familiar with CI/CD and modern data engineering practices.
• Interest in AI-assisted development and operations.

Responsibilities

• Turn business problems into fit-for-purpose data solutions.
• Own delivery from requirements to production.
• Design data models and data pipelines.
• Prioritize long-term reliability and maintainability.
• Leverage AI to increase efficiency, quality, and speed.
• Understand business domain to translate problems into robust solutions.
• Own full lifecycle from design to testing to production.
• Ensure data warehousing best practices and scalability.
• Implement CI/CD and pipeline orchestration patterns.
• Explore Snowflake, dbt, and Airflow integrations.

Skills

Data engineering

Data warehousing

CI/CD

Pipeline orchestration

AI familiarity

Stakeholder engagement

Tools

Oracle

PL/SQL

DataStage

Snowflake

dbt

Airflow

Job description

Nordea is seeking a Senior Data Engineer to own end-to-end data solutions, from requirements to production, with a focus on robust data pipelines and scalable data warehousing. The role spans Poland (Gdańsk/Warsaw) with a hybrid work model and opportunities to leverage AI for efficiency and reliability.

You will collaborate with the Default Management team in SD High Risk and SD C&I to deliver production-ready data systems, driving long-term maintainability and data quality.