AI & Data Platform Engineer

APM Terminals Elizabeth, LLC; København; On-site; DKK 600,000 - 900,000; Full time

Job summary

Maersk is seeking a Software Engineer, AI & Data to design, build, and scale AI-driven applications and data platforms. You will work at the intersection of data engineering, platform development, and agentic AI, delivering end-to-end solutions from pipelines to intelligent apps.

You will collaborate with Product, Data, Platform, and AI teams, contribute to APIs and backend services, and help drive reliable, scalable, production-ready systems across the enterprise.

Qualifications

• BE or B Tech in Computer Science or an engineering discipline.
• 2–5 years of experience in software or data engineering.
• Proficiency in Python, Java, or similar programming languages.
• Experience with SQL and basic data pipelines / ETL processes.
• Understanding of APIs, microservices, and backend development.
• Exposure to cloud platforms and DevOps practices.

Responsibilities

• Design and build AI-powered and agentic AI applications using modern frameworks.
• Develop intelligent workflows to automate business processes.
• Contribute to end-to-end AI application development including APIs and back-end services.
• Build scalable data pipelines and data products to enable analytics use cases.
• Develop scalable backend services and APIs; follow CI/CD and observability best practices.
• Collaborate with Product, Data, Platform, and AI teams to deliver end-to-end solutions.

Skills

Python

Java

SQL

APIs

Azure

DevOps

Education

BE or B Tech in Computer Science or engineering

Job description

Maersk is seeking a Software Engineer, AI & Data to design, build, and scale AI-driven applications and data platforms. You will work at the intersection of data engineering, platform development, and agentic AI, delivering end-to-end solutions from pipelines to intelligent apps.

You will collaborate with Product, Data, Platform, and AI teams, contribute to APIs and backend services, and help drive reliable, scalable, production-ready systems across the enterprise.