Role overview

Kpler is a global intelligence platform founded in 2014 that simplifies complex trade information across commodities, energy, and maritime sectors. As a Senior Data Engineer on the Maritime Models team, you will own the technical architecture of core data pipelines and distributed storage systems that power vessel tracking and predictive analytics for clients worldwide.

Key responsibilities

Design and optimize high-throughput batch and streaming data pipelines that process raw maritime telemetry at scale.
Take technical ownership of distributed storage architectures, including work with Apache HBase and other NoSQL systems.
Transform complex maritime data into actionable intelligence that supports predictive analytics and business decision-making.
Ensure the freshness, accuracy, and reliability of data models that global customers depend on for their operations.
Scale existing pipelines and systems to handle growing volumes of maritime telemetry data.

Requirements

Proven experience designing and operating distributed data systems and high-throughput pipelines in production environments.
Strong technical expertise with distributed NoSQL databases, particularly Apache HBase or similar technologies at scale.
Demonstrated ability to work with both batch and streaming data processing frameworks.
Experience optimizing data pipeline performance, reliability, and cost in high-volume settings.

What makes this role worth considering

You will join a team of over 850 experts from 69 countries who work on transforming intricate maritime and trade data into strategic value. Your work will directly impact how global organizations make critical decisions in fast-moving energy and commodities markets, giving your technical contributions immediate business relevance.