Software Engineer, Data Acquisition & AI Platforms

Norlys Energy Trading; Aalborg; On-site; DKK 550,000 - 900,000; Full time

Benefits offered by this job

Modern cloud technologies

AI-assisted development practices

Cross-disciplinary collaboration

Deep domain knowledge in energy data

Job summary

Norlys Energy Trading is seeking a Software Developer for the Data Acquisition Team. You will help build and operate data acquisition at scale, contributing to reusable frameworks, internal tooling, automation, and engineering standards to handle hundreds of data sources.

You will work closely with traders, quantitative analysts, and domain experts to understand business needs and shape our data platforms. A strong software engineering foundation and curiosity about data quality are essential.

Qualifications

• Professional experience with C#.
• Strong software engineering mindset and problem solving.
• Focus on data quality and operational excellence.
• Structured, detail oriented and proactive.
• Ability to collaborate and communicate effectively.
• Interest in AI-assisted development as part of daily work.

Responsibilities

• Develop and maintain data acquisition solutions and integrations.
• Build reusable frameworks, libraries and internal tooling.
• Develop monitoring, alerting and dashboards for observability.
• Create robust error handling and automated recovery.
• Collaborate with traders, quantitative analysts and domain experts.
• Contribute to architectural decisions and platform development.
• Help establish engineering standards for data acquisition.
• Leverage automation and AI-assisted development to improve productivity and quality.

Skills

C#

Python

Data quality

Software engineering

Ownership

Collaboration

Independent work

AI-assisted development

Job description

Norlys Energy Trading is seeking a Software Developer for the Data Acquisition Team. You will help build and operate data acquisition at scale, contributing to reusable frameworks, internal tooling, automation, and engineering standards to handle hundreds of data sources.

You will work closely with traders, quantitative analysts, and domain experts to understand business needs and shape our data platforms. A strong software engineering foundation and curiosity about data quality are essential.