Lead Data Engineer

A.P. Moller - Maersk

Not specified
Distributed data processing batch and streaming
Production-grade machine learning workloads
Aws cloud-native infrastructure expertise
A.P. Moller - Maersk is seeking a Lead Data Engineer to drive the development of its MIDAS data and AI platform. The role requires strong technical expertise in data platforms and AI systems, focusing on building reliable, scalable solutions that enhance decision-making across global logistics

Job Summary

  • MIDAS is Maersk’s integrated Data and AI platform designed to unify data foundations and AI enablement into a single, coherent platform that supports analytics, machine learning, and generative AI at global scale.
  • This role offers long-term growth into more senior technical leadership positions and involves shaping architectural decisions that extend beyond a single team or project.
  • Maersk is committed to a diverse and inclusive workplace and welcomes applicants regardless of protected characteristics, providing accommodations during the hiring process.

Matching Summary

Match Score: 85

A.P. Moller - Maersk is seeking a Lead Data Engineer to drive the development of its MIDAS data and AI platform. The role requires strong technical expertise in data platforms and AI systems, focusing on building reliable, scalable solutions that enhance decision-making across global logistics.

Skills & Requirements

Must-have

  • Distributed data processing batch and streaming
  • Production-grade machine learning workloads
  • AWS cloud-native infrastructure expertise
  • Data modeling and schema evolution
  • Real-time AI-assisted automation
  • Strong engineering judgment and leadership
  • Spark or similar distributed processing

Nice-to-have

  • Kubernetes-based platform experience
  • Managed data or ML services knowledge
  • CI/CD and infrastructure as code
  • Mentoring senior engineers
  • Technical architectural influence
  • Clear communication and documentation

Key Requirements

  • Deep expertise in data platforms
  • Hands-on AI practitioner experience
  • Experience designing and operating large-scale data platforms
  • Fluency in Python and SQL
  • Strong fundamentals in distributed systems
  • Experience with production AI lifecycle
  • Senior technical leadership experience

Work Rights

Not specified

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