Data Engineer: Scalable Pipelines (Snowflake, Airflow)

Cph Ai Hub

København

Híbrido

DKK 700 000 - 1 050 000

Tempo integral

14 dias+

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Resumo da oferta

DFDS is seeking a Data Engineer at our Copenhagen headquarters to build and maintain data pipelines powering decision-making across the company. You will work with a modern stack including dbt, Airflow, Snowflake, and AWS, and collaborate with analytics and business stakeholders.

You will join the Copenhagen Data Engineering Chapter, a growing team focused on scalable data solutions, data quality, and best practices. This role offers opportunities to grow and take on more responsibility.

Qualificações

  • 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.
  • A collaborative mindset and strong communication skills.
  • A desire to learn and grow within a supportive team environment.

Responsabilidades

  • 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 our 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 we scale.

Conhecimentos

SQL
Data modelling
Collaboration

Ferramentas

dbt
Airflow
Snowflake
AWS

Descrição da oferta de emprego

DFDS is seeking a Data Engineer at our Copenhagen headquarters to build and maintain data pipelines powering decision-making across the company. You will work with a modern stack including dbt, Airflow, Snowflake, and AWS, and collaborate with analytics and business stakeholders.

You will join the Copenhagen Data Engineering Chapter, a growing team focused on scalable data solutions, data quality, and best practices. This role offers opportunities to grow and take on more responsibility.

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