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Company Overview

A. P. Moller - Maersk is an integrated container logistics company and member of the A. P. Moller Group. Connecting and simplifying trade to help our customers grow and thrive . With a dedicated team of over 95, 000 employees, operating in 130 countries; we go all the way to enable global trade for a growing world . From the farm to your refrigerator, or the factory to your wardrobe, A. P. Moller - Maersk is developing solutions that meet customer needs from one end of the supply chain to the other.

About the Team

At Maersk, the Global Ocean Manifest team is at the heart of global trade compliance and automation. We build intelligent, high-scale systems that seamlessly integrate customs regulations across 100+ countries, ensuring smooth cross-border movement of cargo by ocean, rail, and other transport modes.

Our mission is to digitally transform customs documentation, reducing friction, optimizing workflows, and automating compliance for a complex web of regulatory bodies, ports, and customs authorities. We deal with real-time data ingestion, document generation, regulatory rule engines, and multi-format data exchange while ensuring resilience and security at scale.

Key Responsibilities

• Work with large, complex datasets and ensure efficient data processing and transformation.

• Collaborate with cross-functional teams to gather and understand data requirements.

• Ensure data quality, integrity, and security across all processes.

• Implement data validation, lineage, and governance strategies to ensure data accuracy and reliability.

• Build, optimize , and maintain ETL pipelines for structured and unstructured data , ensuring high throughput, low latency, and cost efficiency .

• Experience in building scalable, distributed data pipelines for processing real-time and historical data.

• Contribute to the architecture and design of data systems and solutions.

• Write and optimize SQL queries for data extraction, transformation, and loading (ETL).

• Advisory to Product Owners to identify and manage risks, debt, issues and opportunities for the technical improvement .

• Providing continuous improvement suggestions in internal code frameworks, best practices and guidelines .

• Contribute to engineering innovations that fuel Maersk s vision and mission.

Required Skills & Qualifications

• 4 + years of experience in data engineering or a related field.

• Strong problem-solving and analytical skills.

• E xperience on Java, Spring framework

• Experience in building data processing pipelines using Apache Flink and Spark.

• Experience in distributed data lake environments ( Dremio , Databricks, Google BigQuery , etc. )

• E xperience on Apache Kafka, Kafka Streams

• Experience working with databases. PostgreSQL preferred, with s olid experience in writin g and opti mizing SQL queries.

• Hands-on experience in cloud environments such as Azure Cloud (preferred), AWS, Google Cloud, etc.

• Experience with data warehousing and ETL processes .

• Experience in designing and integrating data APIs (REST/ GraphQL ) for real-time and batch processing.

• Knowledge on Great Expectations, Apache Atlas, or DataHub , would be a plus

• Knowledge on RBAC, encryption, GDPR compliance would be a plus

Business skills

• Excellent communication and collaboration skills

• Ability to translate between technical language and business language, and communicate to different target groups

• Ability to understand complex design

• Possessing the ability to balance and find competing forces & opinions , within the development team

Personal profile

• Fact based and result oriented

• Ability to work independently and guide the team

• Excellent verbal and written communication

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. .

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 .