Software Engineer, AI & Data Platforms

Maersk; København; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Maersk is seeking a Software Engineer, AI & Data to design, build and scale data-driven and AI-powered applications. You will work across data engineering, platform development and enterprise AI to enable self-service analytics and informed decision-making.

You will contribute to end-to-end AI application development, data pipelines and secure backend services, with a focus on reliability, CI/CD, observability and cross-functional collaboration with Product, Data and Platform teams.

Qualifications

• BE or BTech in Computer Science or engineering discipline.
• 2–5 years of software or data engineering experience.
• Proficiency in Python, Java, or similar languages.
• Experience with SQL and basic data pipelines / ETL processes.
• Understanding of APIs, microservices, and backend development.
• Exposure to cloud platforms and DevOps practices.
• Basic knowledge of AI/ML or interest in AI-driven solutions.

Responsibilities

• Design and build AI-powered and agentic AI applications, leveraging modern frameworks and enterprise AI platforms.
• Develop intelligent workflows using AI agents to automate business processes and decision-making.
• Contribute to end-to-end AI application development, including APIs, backend services, and user-facing integrations.
• Build scalable data pipelines and data products to support AI and analytics use cases.
• Enable self-service data access and reporting, ensuring governed and reliable data consumption.

Skills

Python

Java

SQL

ETL

APIs

Cloud

DevOps

AI

Education

BE/BTech in CS/engineering

Job description

Maersk is seeking a Software Engineer, AI & Data to design, build and scale data-driven and AI-powered applications. You will work across data engineering, platform development and enterprise AI to enable self-service analytics and informed decision-making.

You will contribute to end-to-end AI application development, data pipelines and secure backend services, with a focus on reliability, CI/CD, observability and cross-functional collaboration with Product, Data and Platform teams.