Назад
6 дней назад

Backend Engineer (Commodities)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний

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TL;DR
Backend Engineer (Commodities) (Python/Kafka): Building and operating streaming ingestion pipelines, backend services, and APIs that connect sensor, rail, waterway, and maritime data into a unified supply-chain intelligence platform with an accent on telemetry processing, data quality, and service reliability. Focus on designing scalable pipelines, operating cloud services end-to-end, and transforming noisy time-series data into usable customer datasets.

Location: United Kingdom; hybrid workplace

Company

Kpler provides a real-time trade intelligence platform and is expanding it from maritime coverage into North American inland supply chains.

What you will do

  • Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data.
  • Develop backend services and RESTful APIs, and contribute to customer-facing web applications.
  • Validate noisy time-series telemetry and implement monitoring and alerting for data quality.
  • Own services end to end, including deployments, observability, and on-call support.
  • Collaborate with data science and sensor operations teams to transform raw telemetry into customer-ready datasets.
  • Participate in technical design, CI/CD improvements, testing, and documentation.

Requirements

  • 2–4 years of professional software engineering experience building and supporting production software.
  • Strong Python and relational database skills, including SQL and Postgres.
  • Experience deploying, debugging, and operating backend services in cloud environments; AWS is preferred.
  • Hands-on experience with message queues, streaming platforms such as Kafka, and RESTful API development.
  • Strong problem-solving skills and the ability to turn ambiguous requirements into working code.

Nice to have

  • Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch.
  • Exposure to time-series, IoT, remote sensor, or geospatial datasets.
  • Interest in energy, commodities, or logistics supply chains.

Culture & Benefits

  • High-autonomy “you build it, you run it” engineering model.
  • Close collaboration across engineering, data science, and sensor operations.
  • Participation in an on-call rotation and ownership of service health.

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