Senior Data Engineer (Finance, Copenhagen)

Job summary

The role involves designing and building end-to-end data solutions to support the lending business, focusing on long-term reliability and maintainability.

Qualifications

• Strong experience in data engineering and data warehousing, particularly in large-scale solutions.
• Ability to design data warehouse solutions with an emphasis on simplicity and maintainability.
• Hands-on experience with Oracle, PL/SQL, and DataStage.
• Familiarity with CI/CD, pipeline orchestration, and modern data engineering practices.

Responsibilities

• Collaborate with business stakeholders to translate their needs into effective data solutions.
• Take full ownership of the data solution lifecycle from requirements gathering to production deployment.
• Design and build data models and pipelines that prioritize long-term stability.
• Stay updated with AI technologies to enhance development efficiency and solution reliability.

Skills

• Proactive in understanding business domains and clarifying requirements.
• Strong focus on maintainability over quick fixes in data warehousing.
• Experience with AI applications in data engineering is a plus.
• Interest in modern data platforms such as Snowflake, dbt, and Airflow.

Education

• Relevant degree in Computer Science, Engineering, or a related field is preferred.

Tools

• Oracle, PL/SQL, DataStage, CI/CD tools, and modern data engineering platforms.