AI-Driven Data Platform Engineer

Damco Spain SL

København

Hybrid

DKK 700,000 - 900,000

Full time

47 hours ago
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Job summary

Maersk is redefining global logistics with data, AI, and platform thinking. We seek a Software Engineer, AI & Data to design, build, and scale AI-powered data solutions that enable self-service analytics and enterprise decision-making.

You will work across data engineering, platform development, and integration, delivering end-to-end applications, APIs, and scalable data pipelines while following modern CI/CD and DevOps practices.

Qualifications

  • BE or BTech in Computer Science or a science/engineering discipline.
  • 2–5 years of experience in software engineering or data engineering.
  • Proficiency in Python, Java, or similar programming languages.
  • Experience with SQL and 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 building AI-driven solutions.

Responsibilities

  • Design, build, and scale AI-powered data solutions that enable self-service analytics and AI-driven decision-making.
  • Develop AI/Agentic AI applications and data pipelines across enterprise platforms.
  • Create scalable backend services, APIs, and data products.
  • Collaborate with Product, Data, Platform, and AI teams to deliver end-to-end solutions.
  • Follow CI/CD and DevOps practices to ensure reliability and observability.

Skills

Python
Java
APIs
SQL
Distributed systems
CI/CD

Education

BE/B.Tech in Computer Science or related field

Tools

Azure Cloud
Git
Docker

Job description

Maersk is redefining global logistics with data, AI, and platform thinking. We seek a Software Engineer, AI & Data to design, build, and scale AI-powered data solutions that enable self-service analytics and enterprise decision-making.

You will work across data engineering, platform development, and integration, delivering end-to-end applications, APIs, and scalable data pipelines while following modern CI/CD and DevOps practices.

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