Senior Software Engineer – Scalable Trading Systems & AI

Danske Commodities; Denmark; On-site; DKK 700,000 - 1,000,000; Full time

Benefits offered by this job

Flexible work life

Up to 2 work from home days/week

Top-tier parental leave

25 days annual leave

Job summary

Danske Commodities is seeking a software engineer who will design and develop scalable, high‑performing solutions at the heart of our trading platform. You’ll work in a cross‑functional product team with clear ownership of end‑to‑end delivery.

Responsibilities include analyzing customer needs, designing robust event‑driven systems, and providing ongoing support to users while maintaining data quality for risk and finance.

Qualifications

• Hold a relevant educational background in computer science or software development.
• Several years of experience in software development, system design and Agile methods.
• Proficient in C# (.NET, MS SQL, Pulsar messaging on Kubernetes).
• Experienced in API design and software architecture best practices.
• Able to drive architectural changes for robust, scalable systems.
• Interested in AI tooling and AI-assisted development as part of daily work.

Responsibilities

• Analyse customer needs and translate them into solutions for the business.
• Design scalable and robust systems built on event-driven principles.
• Provide system support to users and stakeholders.
• Maintain existing systems to ensure timely data delivery for business use.

Skills

C#

API design

Architectural thinking

Agile methodologies

AI tooling

Education

Relevant degree in CS or software development

Tools

.NET

MS SQL

Pulsar messaging

Kubernetes

Job description

Danske Commodities is seeking a software engineer who will design and develop scalable, high‑performing solutions at the heart of our trading platform. You’ll work in a cross‑functional product team with clear ownership of end‑to‑end delivery.

Responsibilities include analyzing customer needs, designing robust event‑driven systems, and providing ongoing support to users while maintaining data quality for risk and finance.