Senior Data Engineer

Overview

A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.

Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.

The Brief

We’re building a modern data platform that powers Maersk’s AI and analytics ambitions across a decentralized, domain-driven ecosystem. To make that happen, we're hiring platform engineers with strong data infrastructure expertise - engineers who understand distributed systems, open-source data stacks, and cloud-native architectures.

This role isn’t about building data pipelines for specific business use cases. It’s about building the platform that makes those pipelines easy, reliable, observable, and scalable—for everyone else.

What You’ll Be Doing

• Design and build foundational platform components for data ingestion, transformation, metadata, and lineage
• Develop reusable, cloud-native infrastructure and tooling across AWS, Azure, and on-prem environments
• Work across streaming (Kafka, Flink) and batch (Spark, SQLMesh, dbt) systems to support diverse data processing needs
• Enable open table formats (Iceberg, Delta Lake, Hudi) as first-class citizens of the platform
• Contribute to platform observability (e.g., Prometheus, Grafana), lineage (OpenLineage), and data quality tooling (Great Expectations)
• Implement GitOps-driven CI/CD pipelines, Terraform modules, and containerized deployments
• Partner with AI/ML, metadata, and governance teams to drive consistency, automation, and platform-wide operability
  
  

• Strong engineering background in data infrastructure, platform engineering, or distributed systems
• Deep hands-on experience with open-source data tooling and frameworks (Kafka, Spark, Flink, Iceberg, dbt, SQLMesh, etc.)
• Proficiency with cloud-native services on AWS, Azure, or GCP—especially around data storage, compute, and orchestration
• Infrastructure-as-code mindset (Terraform, GitHub Actions, GitOps) and familiarity with container ecosystems (Kubernetes preferred)
• Comfort working on modular, multi-tenant systems that enable self-service, observability, and scalability by design
• Clear thinking around data architecture principles like data mesh, decentralized ownership, and federated governance
  
  

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.