Data Engineer: Build Scalable Pipelines in Snowflake/AWS

Kommunikationsforum; København; Hybrid; DKK 523,000 - 747,000; Full time

Benefits offered by this job

Central Copenhagen office

Modern facilities and amenities

Training & mentorship

Job summary

DFDS, headquartered in Copenhagen, is seeking a Data Engineer to build and maintain data infrastructure powering decision‑making across the company. You will collaborate with data platform team, analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and actionable.

You’ll join our Copenhagen Data Engineering Chapter, working with dbt, Airflow, Snowflake and AWS components to deliver scalable data solutions while growing into more responsibility.

Qualifications

• Experience with data engineering tools such as dbt or Airflow.
• Familiarity with Snowflake and AWS cloud data platforms.
• Strong SQL and data modeling fundamentals.
• Collaborative mindset and good communication skills.
• Eagerness to learn and grow within a supportive team.

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 evolution of data platform and engineering best practices.
• Participate in code reviews and knowledge sharing within the chapter.
• Support onboarding of new tools and technologies as we scale.

Skills

collaborative mindset

strong communication skills

curiosity

Tools

dbt

Airflow

Snowflake

AWS

Job description

DFDS, headquartered in Copenhagen, is seeking a Data Engineer to build and maintain data infrastructure powering decision‑making across the company. You will collaborate with data platform team, analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and actionable.

You’ll join our Copenhagen Data Engineering Chapter, working with dbt, Airflow, Snowflake and AWS components to deliver scalable data solutions while growing into more responsibility.