Data Platform Engineer: Internal Tools & AI Infra

Danske Commodities

Aarhus

On-site

DKK 700,000 - 900,000

Full time

39 hours ago
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Benefits offered by this job

Flexible work life
Up to 2 work from home days/week
Health insurance
Pension plan
On-site gym

Job summary

Danske Commodities is building and running internal data platform capabilities to empower engineers, quants and traders. You will design core frameworks, run cloud infrastructure on Azure, and enable self-service paths for rapid data product development.

We seek engineers with production-systems experience, strong C#/.NET and Python skills, and fluency in English. The role combines software engineering with data tooling across a collaborative team in Aarhus.

Qualifications

  • hold a relevant educational background within computer science, software engineering or similar – or equivalent practical experience
  • have experience as a software engineer building production systems
  • are proficient in C#/.NET and Python
  • have hands-on experience with cloud, containers and CI/CD (e.g. Azure, Kubernetes, Docker, GitHub Actions)
  • are proficient in English - both written and spoken

Responsibilities

  • design, build and run internal data platform capabilities and shared tools
  • set up cloud data infrastructure on Azure (Databricks, databases, streaming)
  • implement self-service 'golden paths' for rapid data product launches
  • set up, integrate and run hosted data tooling like data catalogue and data-quality products
  • operate the platform with monitoring, incident investigation and continuous improvement

Skills

C#/.NET
Python
Cloud infrastructure
CI/CD
English proficiency
Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Azure
Kubernetes
Docker
GitHub Actions

Job description

Danske Commodities is building and running internal data platform capabilities to empower engineers, quants and traders. You will design core frameworks, run cloud infrastructure on Azure, and enable self-service paths for rapid data product development.

We seek engineers with production-systems experience, strong C#/.NET and Python skills, and fluency in English. The role combines software engineering with data tooling across a collaborative team in Aarhus.

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