Overview
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisati
Full job description
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
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. Drive continuous platform health by participating in technical design discussions, improving CI/CD workflows, and delivering tested, well-documented code.
What you'll need (Must-haves) 2 to 4 years of professional software engineering experience building and supporting production software. Strong proficiency with Python and relational databases (SQL / Postgres). Proven experience deploying, debugging, and operating backend services in cloud environments (AWS preferred). Hands-on exposure to message queues, streaming platforms (e.g., Kafka), and RESTful API development. Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code. Nice-to-haves Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch. Prior exposure to time-series, IoT, remote sensor, or geospatial datasets. Domain interest in energy, commodities, or logistics supply chains.
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