Big Data Engineer

3 days ago


Århus, Århus Kommune, Denmark Bestseller Textilhandels GmbH Full time

About Us

At BESTSELLER, we are a fashion brand with a strong focus on innovation and customer satisfaction. We are committed to providing an excellent employee experience and offer a range of benefits to support our employees' personal and professional growth.

We believe in empowering our employees through ownership, which means taking initiative, collaborating openly, and making an impact from day one. Our company culture is built on the values of empowerment, ownership, and collaboration.

The Job Description

As a Data Engineer at BESTSELLER, you will be responsible for designing, building, and optimizing modern data products to enable data-driven decision-making across the organization. Your responsibilities will include:

  • Migrating our legacy SQL-based data warehouse and data products to a new platform on Snowflake using DBT and Airflow.
  • Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Designing and implementing data pipelines, ETL processes, and data models to support business needs.
  • Monitoring and optimizing data warehouse performance and identifying areas for improvement.
  • Developing and implementing data governance policies to ensure data accuracy, completeness, and security.
  • Staying up-to-date with industry trends and emerging technologies in data engineering and cloud computing to optimize and standardize our data engineering processes in accordance with best practices.

Your Skills and Qualifications

We expect that you have a bachelor's degree in computer science, engineering, or a related field, with relevant experience in data engineering and architecture. You should have expertise in Azure technologies such as Azure Data Factory, Azure Functions, and Azure Databricks, as well as expertise in SQL Server - including the ability to write stored procedures, views, and functions, with hands-on experience in data pipelines and CI/CD principles.

Experience with Snowflake, DBT, and Docker, along with knowledge of Airflow or similar workflow management tools is a plus. Fluency in English, both spoken and written, is required.

Our Benefits

We offer a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and opportunities for professional development and career advancement.

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