Backend Engineer

Team: Engineering Maritime & Logistic

Location: United Kingdom

Commitment: Full-time

Workplace Type: hybrid

About the Role

As an Engineer II within our Engineering Maritime & Logistics division, you will play a pivotal role in designing, building, and operating high-throughput data processing and API distribution systems. You will take end-to-end ownership of real-time streaming applications, backend services, and reliable pipelines that deliver critical maritime intelligence to global consumers via Kafka, Flink, and Snowflake. By maintaining platform resilience and scaling event-driven architectures, your work directly powers the actionable insights our clients rely on to navigate complex global trade.

Key Responsibilities

Key Responsibilities

• Design, build, and maintain high-performance backend microservices and APIs using Java, Scala, and Python.

• Design, develop, and operate real-time data pipelines and stream-processing applications using Java, Scala, Kafka Streams, and Apache Flink, as well as batch-processing workflows using Python and Apache Airflow.

• Drive end-to-end technical ownership of backend services from initial design and testing through deployment, continuous monitoring, and production operations.

• Optimize system health, throughput, and consumer lag across streaming infrastructure to maximize data freshness and platform uptime.

• Investigate production incidents, perform thorough root-cause analysis, and implement long-term structural improvements.

• Reduce technical debt by continuously elevating software maintainability, observability, automated test coverage, and CI/CD practices.

• Partner cross-functionally with product managers, platform engineers, and peer teams to turn complex maritime domain needs into robust software.

Experience & Background

What you'll need (Must-haves)

• 3+ years of professional software engineering experience delivering backend microservices and data pipelines in production.

• Strong proficiency and hands-on expertise in Java, Scala, and Python.

• Practical experience building and operating event-driven applications or data pipelines in cloud environments (AWS).

• Direct experience operating containerized services on Kubernetes and delivering changes using Docker and GitOps workflows.

• Solid background in SQL, relational database design, data modeling, and distributed system fundamentals.

Nice-to-haves

• Familiarity with geospatial and location-based datasets, including their structures and common use cases. Hands-on experience with geospatial technologies and tools such as GeoServer, PostGIS, WKT, S2, or H3.

• Exposure to Test-Driven Development (TDD) and modern observability stacks (Datadog, OpenTelemetry, metrics, tracing).

• Experience working on high-throughput, low-latency streaming systems where data freshness is critical.