Senior Data Engineer

About the role

As a Senior Data Engineer on the Maritime Models team, you will take technical ownership of core data pipelines and distributed storage architectures powering vessel tracking and predictive analytics. You will design, scale, and optimize high-throughput batch and streaming pipelines that ingest raw maritime telemetry to provide actionable intelligence for global customers.

Responsibilities

• Architect, build, and operate high-throughput batch and streaming data pipelines using Java, Python, Apache Kafka, Apache Flink, and Airflow.
• Design, tune, and maintain scalable distributed NoSQL databases, prioritizing Apache HBase performance for high-volume time-series maritime telemetry.
• Drive end-to-end operational excellence across containerized cloud environments on AWS using Kubernetes, Docker, Terraform, and GitOps workflows.
• Define and enforce system reliability metrics, monitoring pipeline latency, data completeness, and uptime to meet strict operational SLAs.
• Partner with Data Scientists, Product Managers, and SRE teams to translate complex maritime modeling requirements into robust, production-grade infrastructure.
• Mentor peer engineers, drive code review standards, and leverage modern AI development tools to elevate team productivity.

Required skills

• Data Engineering
• Apache HBase
• Java
• Python
• Apache Kafka
• Apache Flink
• Apache Airflow
• AWS
• Kubernetes
• Docker
• Terraform

Nice to have

• PostgreSQL
• Geospatial data
• GeoServer
• AI-assisted development
• Maritime tracking
• AIS telemetry
• Supply chain logistics

About the Company

Kpler simplifies global trade information and provides valuable insights to help organizations make informed decisions in commodities, energy, and maritime sectors. Founded in 2014, the company employs over 850 experts from 69 countries to transform intricate data into actionable strategies.