BESTSELLER - Senior Data Engineer

Drive the backbone of BESTSELLER’s data transformation

Are you a seasoned data engineer ready to take a leading role in shaping scalable, modern data architecture in a global fashion company? At BESTSELLER, we are on a journey to elevate our data maturity – and we are looking for a senior profile who wants to be part of building our future data platform.

As a Senior Data Engineer in our Data & Analytics department, you’ll become a key driver in our transformation from a legacy SQL-based data warehouse to a modern, cloud-based data mesh built on Snowflake, DBT, and Airflow. You’ll take technical ownership and be trusted to challenge, influence, and deliver solutions that power data-driven decisions across more than 20 brands.

THE TEAM
You will join our B2C Analytics Retail team, working out of Aarhus or Amsterdam. The team supports our retail functions with advanced data solutions and business-critical insights. We are part of a broader Data & Analytics community of 50+ experts, united by the ambition to drive impact through data. Our culture is built on autonomy, trust, and deep technical ownership.

YOUR ROLE
You will play a leading role in maintaining, modernizing and scaling our data infrastructure, contributing with both architectural perspective and hands-on development. You will serve as a sparring partner across the business, shaping the future of our data stack and guiding others through technical complexity.

Your key responsibilities will include:

• Driving the migration from our SQL-based legacy systems to a modular Snowflake-based data mesh
• Designing and implementing robust, scalable data pipelines and data models with DBT, Airflow and CI/CD workflows
• Acting as a subject matter expert on performance, architecture, and best practices in modern data engineering
• Partnering with stakeholders across tech, retail, and product to translate complex business needs into future-ready solutions
• Ensuring data integrity and governance through best-in-class monitoring and compliance practices
• Contributing to the development of standards, documentation, and mentoring of less experienced engineers

WHY JOIN US?
At BESTSELLER Data & Analytics, you will:

• Work with cutting-edge technologies in an environment that encourages ownership and innovation
• Influence the direction of a global company’s data transformation
• Collaborate with international teams in a flat and fast-paced organisation
• Our hybrid workplace allows for both office and remote work, giving you the flexibility to thrive.
• Access continuous development, certifications, and learning opportunities

WE ARE LOOKING FORWARD TO HEARING FROM YOU 
If you have any questions about the position, feel free to contact the hiring manager, Anita Bech Borup, at +45 52 15 42 08. Otherwise, please send us your application and CV as soon as possible, no later than the 7th of May 2025. We review applications on an ongoing basis and reserve the right to remove the job posting once the right candidate has been found.

WORKPLACE LOCATION 
Hybrid work model - enjoy the flexibility of working from home while collaborating in person at our Aarhus office (minimum 2 days/week).

ABOUT BESTSELLER  
At BESTSELLER, we are more than 20,000 people in 38 different countries working for over 20 fashion brands such as JACK & JONES, SELECTED, VERO MODA, ONLY, PIECES, VILA, OBJECT, MAMALICIOUS, NAME IT, NOISY MAY and Y.A.S. We are a family-owned company with a strong foundation and values to build on, empowering us to pursue the ideas we believe in to take BESTSELLER forward. We are committed to diversity and provide equal opportunities for everyone, irrespective of sex, race, ethnicity, religion or belief, disability, age, sexual orientation or gender identity. We strive to create an empowering environment where people can thrive and develop. For more information, visit www.bestseller.com.  

YOUR PROFILE
You bring a deep technical foundation and a proven track record of building and optimizing data platforms at scale. You combine strong analytical thinking with business understanding and thrive in a role where both architecture and execution matter.

We expect you to have:

• A degree in Computer Science, Engineering or a related field – and hands-on experience within data engineering and architecture.
• Expertise in Azure technologies such as Azure Data Factory, Azure Functions, and Azure Databricks.
• 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.