Data Engineer

Fleet Management Limited

Our 30-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650+ diverse types of vessels.

Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, Turkey and the USA, among others.

In a shore career at Fleet, you will be working with a team of a highly passionate, self-driven and committed group of people. We aim to be a place where you can achieve your full potential, regardless of your background.

We are looking for individuals who are ambitious about making a strong contribution to Fleet&aposs short and long-term sustainable growth – whether you are dealing directly with clients or working in a role supporting the business, such as technology, legal or communications.

As a Data Engineer, your typical day will cover the following areas :

1. Build & Optimise Data Systems

(Focus : Core engineering work with a balance of pipelines and infrastructure)

• Create & maintain data highways : Develop and manage cloud-based data lakes, warehouses, and ETL / ELT pipelines that ingest, process, and deliver data from 630+ ships and external sources
• Keep systems shipshape : Monitor cloud infrastructure performance, resolve bottlenecks, and ensure scalability / reliability for 24 / 7 maritime operations—no room for "set and forget."
• Secure the cargo : Implement data quality checks, encryption, and compliance standards (GDPR, SOC2) to protect sensitive maritime telemetry and operational data
• Automate the mundane : Use tools like Airflow to streamline workflows and reduce manual intervention in pipeline maintenance

2. Support Analytics & Troubleshoot Issues

(Focus : Enabling insights while keeping systems running smoothly)

3. Collaborate & Learn

(Focus : Teamwork and growth in a fast-paced environment)

Essential :

Desirable :

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Skills Required

Airflow, Pyspark, Data Warehouse, Sql, Hive, Presto, Mysql, Postgres, Spark, Aws Ec2, Data Lake, Oracle