Data Engineer — Build & Own Production Trading Pipelines

Danske Commodities

Denmark

On-site

DKK 700,000 - 900,000

Full time

2 days ago
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Benefits offered by this job

Social events
DC University courses
Harvard Learning access
Global career paths
Flexible work life
Up to 2 work from home days/week

Job summary

Danske Commodities is building, migrating and operating data ingestion pipelines to modernise how market data reaches our users. You will work with senior data practitioners to own code quality and production运行, delivering reliable pipelines for traders and analysts.

Join a hands-on Data Platform Enablement team that standardises data, collaborates with data scientists and engineers, and grows your skills through real ownership and cross-team collaboration.

Qualifications

  • Relevant educational background in computer science, software engineering, data science or similar.
  • Hands-on experience building data pipelines or data applications in Python, SQL or C#.
  • Working knowledge of SQL and relational databases.
  • Familiarity with version control (Git).
  • Proficiency in English – both written and spoken.

Responsibilities

  • Migrate existing data collectors onto the modern data platform.
  • Build new pipelines delivering data to the lakehouse and trading data systems.
  • Ensure pipelines are reliable with tests, data-quality checks and safe re-runs.
  • Operate and monitor pipelines; fix failures and optimize delivery.

Skills

English proficiency
Git version control
Data pipelines experience
Analytical thinking

Education

Relevant educational background in computer science or software engineering or data science

Tools

Python
SQL
C#

Job description

Danske Commodities is building, migrating and operating data ingestion pipelines to modernise how market data reaches our users. You will work with senior data practitioners to own code quality and production运行, delivering reliable pipelines for traders and analysts.

Join a hands-on Data Platform Enablement team that standardises data, collaborates with data scientists and engineers, and grows your skills through real ownership and cross-team collaboration.

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