Data Engineer - Cloud Pipelines & Data Mesh at Scale

BESTSELLER A/S; Brande; On-site; DKK 700,000 - 1,000,000; Full time

Job summary

BESTSELLER A/S is seeking an analytically minded Data Engineer to help scale our data capabilities. You’ll join the Ecommerce / Product Experience Team, shaping data that supports decisions across our brands and regions.

You’ll build pipelines, data services, and contracts in a data mesh-driven environment, collaborating with stakeholders to ensure data is trustworthy and reusable across domains.

Qualifications

• Experience as a Data Engineer or similar role, building production-grade data systems and backend services.
• Strong analytical skills, translating business requirements into scalable data solutions.
• Hands-on with modern data technologies such as AWS, GCP or Azure, Kafka, Snowflake, dbt or Airflow.

Responsibilities

• Build and deploy data pipelines, APIs and integration services in a cloud-native environment.
• Implement data products, including data contracts and observability practices.
• Model and transform data to support analytical and operational use cases.
• Engage with stakeholders across business units to understand data needs and translate them into practical solutions.
• Contribute to improving data quality, performance and governance while exploring technologies that strengthen the data ecosystem.

Skills

SQL

Python

Data modelling

Tools

AWS

GCP

Azure

Kafka

Snowflake

dbt

Airflow

Job description

BESTSELLER A/S is seeking an analytically minded Data Engineer to help scale our data capabilities. You’ll join the Ecommerce / Product Experience Team, shaping data that supports decisions across our brands and regions.

You’ll build pipelines, data services, and contracts in a data mesh-driven environment, collaborating with stakeholders to ensure data is trustworthy and reusable across domains.