Senior Software Engineer - Barge Data Integration

About the role

Kpler, which provides global trade intelligence for commodities, energy and maritime sectors, is hiring a Senior Software Engineer in its Commodities tribe. You will lead the end-to-end integration of US inland waterway barge data into Kpler's global cargo intelligence platform, with full design authority and a "you build it, you run it" approach.

Key responsibilities

• Drive the full engineering lifecycle: external feed ingestion, domain modeling, streaming, entity resolution and UI distribution.
• Map incoming barge data to Kpler reference data (vessels, zones, installations, products) using Elasticsearch and PostgreSQL matching patterns.
• Build Kafka streaming pipelines with event-driven contracts, Avro schemas, deduplication and dead-letter queue replays in Python and Scala.
• Surface integrated barge data via Elasticsearch read models, external APIs, data warehouse feeds and the Kpler Terminal (TypeScript/Vue).
• Maintain operational ownership of services, set SLOs, take part in on-call rotations and drive post-incident improvements.
• Validate external feeds and integrate human-in-the-loop analyst workflows so corrections apply to barge movements.
• Mentor engineers, document architectures and help decompose legacy estates into event-driven services.

Required profile

• ~5+ years of experience designing, operating and maintaining data-intensive production systems with full ownership.
• Proven ability to build clean, well-bounded services in large, complex codebases.
• Hands-on production Kafka experience, including schema management, deduplication and replay patterns.
• Experience integrating external data feeds, managing schema mapping and building data quality monitoring.
• Direct experience with production observability, incident resolution and documentation.

Required skills

• Advanced Python and SQL
• Kafka streaming (Avro, Schema Registry)
• Nice to have: Scala (Kafka Streams), PostGIS, Elasticsearch, Airflow, Snowflake, Kubernetes, GitOps, TypeScript or Vue