Data Platform Engineer — Build Pipelines & AI

ECCO; København; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

ECCO is seeking a Data Engineer to join the Data & AI tech hub in Copenhagen. You will design, develop, and operate scalable data pipelines, implement data quality checks, and optimize data workflows across the enterprise to enable analytics and AI initiatives.

You will collaborate with cross-functional teams, work with Airflow, dbt, and infrastructure-as-code, and contribute to a data-driven culture in a global organization.

Qualifications

• Master’s degree or PhD in science or engineering.
• Strong Python and SQL skills for data pipelines.
• Experience with analytical data warehousing and ETL/ELT pipelines.
• Hands-on experience with Airflow and dbt preferred.
• Familiarity with infrastructure-as-code (Terraform) and data observability.

Responsibilities

• Design, develop, deploy, and operate data pipelines ensuring timely data availability.
• Implement data validation checks and monitor system operability.
• Improve ingestion software and data workflows at scale.
• Collaborate with cross-functional teams and document solutions.

Skills

Python

SQL

Data warehousing

ETL/ELT pipelines

Airflow

dbt

Terraform

Data observability

English proficiency

Education

Master’s degree or PhD in science/engineering

Tools

Airflow

dbt

Terraform

Job description

ECCO is seeking a Data Engineer to join the Data & AI tech hub in Copenhagen. You will design, develop, and operate scalable data pipelines, implement data quality checks, and optimize data workflows across the enterprise to enable analytics and AI initiatives.

You will collaborate with cross-functional teams, work with Airflow, dbt, and infrastructure-as-code, and contribute to a data-driven culture in a global organization.