Data Engineer (Logistics, Copenhagen)

Job summary

This role involves contributing to the data infrastructure that supports decision-making within a logistics company. The Data Engineer will collaborate with various teams to ensure data accessibility and reliability while working with modern data technologies.

Qualifications

• Experience with data engineering tools such as dbt, Airflow, or similar
• Familiarity with cloud data platforms (Snowflake, AWS)
• Solid understanding of SQL and data modeling principles
• Collaborative mindset with strong communication skills
• Eagerness to learn and grow within a supportive team environment

Responsibilities

• Develop and maintain robust data pipelines using Airflow and dbt
• Design and optimize 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 team
• Support the onboarding of new tools and technologies as the team scales

Skills

• Proficiency in data engineering tools and cloud platforms
• Strong SQL skills and understanding of data modeling
• Effective communication and collaboration abilities

Education

• Relevant degree or equivalent experience in a related field

Tools

• dbt, Airflow, Snowflake, AWS components (e.g., S3)