Senior Data Engineer (Maritime)

Location: Germany; Workplace: Hybrid

Company

hirify.global develops data products and predictive analytics for maritime tracking, logistics, and global customers.

What you will do

• Own the core data pipelines and distributed storage architectures powering vessel tracking and predictive analytics.
• Build and operate high-throughput batch and streaming pipelines with Java, Python, Kafka, Flink, and Airflow.
• Design and optimize Apache HBase-based distributed NoSQL storage for high-volume maritime time-series telemetry.
• Operate containerized cloud infrastructure on AWS using Docker, Kubernetes, Terraform, and GitOps workflows.
• Define reliability metrics and monitor pipeline latency, data completeness, and uptime against operational SLAs.
• Collaborate with Data Scientists, Product Managers, and SRE teams while mentoring engineers and improving code review standards.

Requirements

• 5+ years of professional experience as a Data Engineer building and maintaining production-grade data pipelines.
• Hands-on expertise with distributed NoSQL databases, especially Apache HBase, including performance tuning and query optimization.
• Strong software engineering skills in Java and Python.
• Experience with Apache Kafka, Apache Flink, and Apache Airflow.
• Experience operating containerized services on AWS with Docker, Kubernetes, and Terraform.

Nice to have

• Experience with PostgreSQL.
• Experience with geospatial technologies such as GeoServer or spatial indexing algorithms.
• Exposure to AI-assisted development tools such as Copilot, Cursor, or Claude Code.
• Knowledge of maritime tracking, AIS telemetry, or supply chain logistics.

Culture & Benefits

• Hybrid work environment.
• Collaborative work with Data Science, Product, and SRE functions.
• Opportunities to mentor engineers and improve engineering practices.