Not specified (assumed to be hybrid based on industry trends).
Python and pyspark proficiency
Strong sql skills
Aws ecosystem experience
Maersk is seeking a Data Engineer to transform their operational data into strategic intelligence, driving modern data practices within the company. The role involves building reusable data pipelines, optimizing data ingestion, and supporting AI and machine learning initiatives in a multi-cloud environment
Job Summary
This role involves shaping the foundation of Maersk's global data estate to power AI-native logistics across 130+ countries.
Engineers will craft reusable, observable, and intelligent pipelines that enable machine learning and generative AI products in a multi-cloud environment.
The position offers executive visibility and the freedom to challenge the status quo by creating high-leverage internal data platform primitives.
Matching Summary
Match Score: 85
Maersk is seeking a Data Engineer to transform their operational data into strategic intelligence, driving modern data practices within the company. The role involves building reusable data pipelines, optimizing data ingestion, and supporting AI and machine learning initiatives in a multi-cloud environment.
Skills & Requirements
Must-have
Python and PySpark proficiency
Strong SQL skills
AWS ecosystem experience
Pipeline optimization knowledge
Delta Lake and S3 usage
Nice-to-have
Platform engineering mindset
Docker and Kubernetes experience
Multi-cloud migration background
AI/ML tooling exposure
Terraform IaC familiarity
Grafana and Prometheus monitoring
Key Requirements
Non-negotiable proficiency in Python and SQL
Solid understanding of AWS services beyond data engineering