Data Engineer

Do you want to build an enterprise ready data platform to power ECCO’s data using cutting-edge technology?
Join us to help improve and grow our data platform assets. Making your mark on data engineering at ECCO, you will enable business units to make data-driven decisions, power analytics, and AI use-cases. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment, explore and innovate, we are tackling an almost endless range of new opportunities.

Job profile

You will join highly skilled colleagues on the Data Engineering team in the Data & AI tech hub in Copenhagen. The team is at the forefront of data engineering workflows and capabilities within the ECCO Group, driving an ambitious strategy to fundamentally improve how ECCO’s operations based on data.

As a Data Engineer, you will contribute your technical expertise and software development skills to the success of ECCO’s enterprise data platform and the use-cases it enables. You will work both technically and functionally to build and operate scalable, reliable, and durable data solutions and pipelines utilising Data & AI’s existing and future platform technologies.

In this role, you will:

• design, develop, deploy, and operate data pipelines ensuring timely and accurate data availability,
• implement data validation checks,
• deploy and maintain systems that store and process data,
• actively improve data ingestion software and workflows,
• monitor systems for operability and proactively resolve issues,
• debug complex data systems effectively,
• measure and improve query performance,
• manage data throughout its lifecycle from source system to user consumption,
• actively exchange ideas with team members to align on architecture choices,
• collaborate with cross-functional teams across various business areas.

Here, you'll have the autonomy to innovate and the freedom to build data pipelines that truly set the standard.

Personal profile

You are ambitious, self-driven and resourceful. Developing solutions within a team and tackling challenges drives you. With your creative can-do mindset and diligence, you can ensure robust and scalable data pipelines.

We imagine that you:

• hold a master’s degree or PhD within science and engineering, e.g. computer science, physics, software engineering or electrical engineering,
• have professional experience using Python,
• have good knowledge in at least one object-oriented or functional programming language,
• demonstrate a good understanding of SQL,
• have experience in analytical data warehousing,
• demonstrate hands‑on experience implementing ETL (or ELT) pipelines at scale,
• have hands‑on experience with data pipeline (Airflow is preferred) and data build tools (dbt is preferred),
• are ideally experienced with Infrastructure-as-Code, e.g., Terraform,
• are ideally experienced with data observability generally,
• have some interest in computation performance,
• take initiative and are proactive in documentation of solutions and knowledge sharing,
• have excellent communication skills and proficiency in English; fluency in Danish is a plus.

We offer

We offer a challenging and varied job in an international organization that is constantly developing. ECCO is characterized by an informal environment, and we value cooperation, initiative, and new ideas.

Your continued personal and professional development is essential to us, and we offer participation in internal and external courses, education and conferences supporting this development.

Practical Information

ECCO is an international organization with many nationalities in many countries. We aim at reflecting the same multicultural environment in our local offices. All qualified applications are therefore very welcome, regardless of nationality, religion, gender, age, or ethnical background.

Create the footprints of tomorrow

Join us and become part of a meaningful, developing, and multicultural workplace with colleagues who are proud to create the footprints of tomorrow. Our offices and facilities around the world have an informal culture and relaxed dress code, though our shoe code is slightly stricter.

Are you curious, passionate, and ready to make an impact? Then you'll fit right in.

For more information on this position, please contact Group Director of Technology, Data & BI, Fabian Thiele [email protected].

AT A GLANCE

Department Data & AI
Location Copenhagen (Denmark)*
Advertised 02. September 2026
Deadline 23. September 2026