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Kpler

Real-time commodity and shipping analytics

Backend Engineer - Commodities

Backend EngineeringConfirmed live in the last 24 hours
Full-timeGreeceNo salary listedHybrid

About the Job

Requirements

  • 2 to 4 years of professional software engineering experience building and supporting production software.
  • Strong proficiency with Python and relational databases, including SQL and PostgreSQL.
  • Experience deploying, debugging, and operating backend services in cloud environments; Amazon Web Services is preferred.
  • Hands-on exposure to message queues, streaming platforms such as Kafka, and RESTful API development.
  • Strong problem-solving skills and the ability to move from ambiguous requirements to working code.

Responsibilities

  • Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow.
  • Develop backend services using FastAPI and contribute to customer-facing web applications using TypeScript and Vue.
  • Implement data validation, system monitoring, and alerting to ensure noisy time-series data from field hardware remains accurate and complete.
  • Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation.
  • Collaborate closely with data science and sensor operations teams to transform raw telemetry into high-value, usable datasets for early customer adoption.
  • Participate in technical design discussions, improve CI/CD workflows, and deliver tested, well-documented code.

Desired Qualifications

  • Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch.
  • Prior exposure to time-series, Internet of Things, remote sensor, or geospatial datasets.
  • Interest in energy, commodities, or logistics supply chains.

About the Company

Kpler

Real-time commodity and shipping analytics

Kpler provides real-time data and analytics across oil, gas, LNG, agriculture, metals, and shipping for traders, banks, and governments. Its platform gathers terminal data, vessel movements, and trade flows, delivering insights via a web terminal, an API, and Excel add-ins for on-demand market monitoring. Its breadth across multiple commodities and markets, along with real-time and historical intelligence and growth through acquisitions, sets it apart. Its goal is to help clients make informed trading, risk management, and policy decisions while expanding into adjacent markets and new products.

Company size
501-1,000
Company stage
Private
Total funding
$220M
Headquarters
Paris, France
Founded
2014

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