Data Engineer at Dampskibsselskabet NORDEN AS
2900 Hellerup, Region Hovedstaden, Denmark -
Full Time


Start Date

Immediate

Expiry Date

07 Aug, 25

Salary

0.0

Posted On

08 May, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Teams, Denmark, English

Industry

Information Technology/IT

Description

We are NORDEN, and we are looking for someone who enjoys building data systems that turn complexity into insight.
Join us in Copenhagen as a Data Engineer and help shape the data backbone that drives smarter decisions across our business.
Most of your work will be hands-on - designing and maintaining scalable data pipelines and datasets that fuel innovation and create real impact across our global operations.

YOUR CORE QUALIFICATIONS

You are curious to grow in an ever-evolving, global trading environment. You enjoy solving real problems with data and working across teams to make things better.

You will thrive here if you:

  • Have 1–3 years of experience working with data engineering or similar.
  • Hold a degree in data, IT, engineering or another analytical field.
  • Have practical experience with Lakehouse architecture — using Microsoft Fabric or Azure Databricks.
  • Communicate clearly in English, both written and spoken.
  • Have played a part in shaping how data is structured or used in past roles.

Besides this you are already living in Denmark and are eligible to work here.

Responsibilities

Your work will shape how data flows across NORDEN — turning raw information into insights, automation and smarter decisions. You will collaborate closely with both technical teammates and business stakeholders to create significant contributions through data.

What you will be doing:

  • Build and maintain scalable data pipelines that keep our insights flowing.
  • Combine internal and external data to create trusted, usable datasets.
  • Turn data into actionable insights and model-ready features.
  • Work with stakeholders across the business to solve real-world problems.
  • Manage the processes of data capture, validation and enrichment.
  • Build reliable, future-ready solutions that bring lasting value.
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