Data Engineer

Stack

Responsibilities

• ▹Develop and maintain robust data pipelines using Airflow and dbt
• ▹Design and optimise data models in Snowflake for analytics and reporting
• ▹Collaborate with cross-functional teams to understand data needs and deliver solutions
• ▹Ensure data quality, reliability and performance across systems
• ▹Contribute to the evolution of the data platform and engineering best practices
• ▹Participate in code reviews and knowledge sharing within the chapter
• ▹Support the onboarding of new tools and technologies as the company scales

Requirements

• ▹Experience with data engineering tools such as dbt, Airflow or similar
• ▹Familiarity with cloud data platforms (Snowflake, AWS)
• ▹Solid understanding of SQL and data modelling principles

Soft skills

What we offer

• ▹A flexible and inclusive work environment
• ▹Opportunities for career development and internal mobility
• ▹A modern tech stack and agile ways of working
• ▹Competitive compensation and benefits
• ▹A central office in Copenhagen with great facilities
• ▹Training, mentorship and opportunities to take on more responsibility

About the company

DFDS is one of Europe's leading logistics companies; the Data Engineering team is based at the Copenhagen headquarters.