Data Engineer: Data Mesh & Cloud Data Pipelines

FashionUnited; Aarhus; Hybrid; DKK 700,000 - 900,000; Full time

Job summary

BESTSELLER E-Commerce in Aarhus, Denmark is seeking an analytically minded Data Engineer to help transform how data powers our fashion brands. You will build production-grade data pipelines, APIs and integration services in a cloud-native environment while shaping data products and governance.

You will translate business needs into robust data solutions, collaborate with stakeholders across brands, and contribute to data quality and observability as part of a team located in Aarhus and Amsterdam.

Qualifications

• Experience building production-grade data systems and backend services.
• Strong analytical skills and ability to translate business needs into scalable data solutions.
• Hands-on experience with cloud platforms (AWS, GCP or Azure) and modern data tech.
• Solid SQL and Python skills; data modelling expertise.
• Experience with API development (REST/GraphQL) and integration tools.

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 to understand data needs and translate them into solutions.
• Contribute to data quality, performance and governance enhancements.

Skills

SQL

Python

Data modelling

AWS

GCP

Azure

Kafka

Snowflake

dbt

Airflow

REST/GraphQL API

Data mesh principles

Data governance

Tools

S3

SFTP

Job description

BESTSELLER E-Commerce in Aarhus, Denmark is seeking an analytically minded Data Engineer to help transform how data powers our fashion brands. You will build production-grade data pipelines, APIs and integration services in a cloud-native environment while shaping data products and governance.

You will translate business needs into robust data solutions, collaborate with stakeholders across brands, and contribute to data quality and observability as part of a team located in Aarhus and Amsterdam.