Lead Data Engineer

A.P. Moller - Maersk

Bangalore, IN, India
Distributed data processing
Event-driven architectures
Lakehouse patterns
As a Lead Engineer in MIDAS, your work directly influences how data is trusted, how AI systems are deployed, and how decisions are made across one of the world’s largest logistics networks

Job Summary

  • As a Lead Engineer in MIDAS, your work directly influences how data is trusted, how AI systems are deployed, and how decisions are made across one of the world’s largest logistics networks.
  • You will provide senior technical leadership across teams building the MIDAS data and AI platform, guiding design and evolution of ingestion, processing, and serving layers supporting batch and streaming workloads.
  • Your guidance will shape how data and AI systems are built and operated across Maersk’s global logistics network, supporting critical business operations, decision-making, and sustainability initiatives across 130+ countries.

Matching Summary

As a Lead Engineer in MIDAS, your work directly influences how data is trusted, how AI systems are deployed, and how decisions are made across one of the world’s largest logistics networks.

Skills & Requirements

Must-have

  • Distributed data processing
  • Event-driven architectures
  • Lakehouse patterns
  • Metadata, lineage, governance
  • Machine learning enablement
  • Generative AI enablement
  • AWS cloud-native infrastructure

Nice-to-have

  • AI practitioner experience
  • Kubernetes-based platforms
  • Managed data or ML services
  • Leading through expertise
  • Sound decisions in ambiguity

Key Requirements

  • Deep technical expertise
  • Strong engineering judgment
  • Hands-on experience building data platforms
  • Hands-on experience building AI-enabled systems
  • Fluent in Python and SQL
  • Experience with Spark
  • Modern engineering practices (CI/CD, IaC)

Work Rights

Not specified

Tailored Resume

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