Student Software Engineer for Fleet Decarbonisation

Ultrabulk; København; Híbrido; DKK 165.000 - 248.000; Tempo parcial

Benefícios oferecidos por esta vaga

Flexible hours

International work environment

Student-friendly schedule

Resumo da vaga

Ultrabulk invites a software- or computer science student to join the Fleet Efficiency & Decarbonisation team in Copenhagen as a Student Assistant. You will build and maintain internal data and web applications using Python, PostgreSQL, and Azure, with the workload adapted to your study schedule.

Flexibility is a hallmark here: a 2–3 day week with more hours during holidays and fewer during exams. You’ll collaborate with developers and domain experts to improve tools, APIs, and data quality

Qualificações

• Enrolled in a bachelor’s or master’s programme in Computer Science, Software Engineering, or related field with at least one year remaining.
• Solid programming skills in Python.
• Working knowledge of SQL and relational databases (PostgreSQL/MSSQL).
• Experience with Git and collaborative workflow.
• Optional exposure to Python web frameworks, Docker, or cloud platforms (Azure).
• Interest in AI/LLM APIs.
• Fluent English (written and spoken). Danish not required.
• Permit to live and work onsite in Denmark.

Responsabilidades

• Develop, test, and maintain internal tools and applications for fleet performance and decarbonisation.
• Build and improve back-end services and REST APIs in Python.
• Write SQL queries, database migrations and data checks in PostgreSQL.
• Improve the web front-end and user experience.
• Ensure code quality, maintainability, and portability.
• Collaborate with domain experts and fellow developers.

Conhecimentos

Python

SQL

Git

English

Teamwork

Formação

CS degree (BS/MS)

Ferramentas

PostgreSQL

Azure

Docker

Descrição da vaga

Ultrabulk invites a software- or computer science student to join the Fleet Efficiency & Decarbonisation team in Copenhagen as a Student Assistant. You will build and maintain internal data and web applications using Python, PostgreSQL, and Azure, with the workload adapted to your study schedule.

Flexibility is a hallmark here: a 2–3 day week with more hours during holidays and fewer during exams. You’ll collaborate with developers and domain experts to improve tools, APIs, and data quality