1 month ago
United Kingdom (city not specified)Mid Level
Responsibilities
- Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow.
- Develop backend services with FastAPI and contribute to customer-facing web applications using TypeScript and Vue.
- Implement data validation, monitoring, and alerting for noisy time-series data from field hardware.
- Operate owned services end to end, including deployments, observability, and on-call participation.
- Collaborate with data science and sensor operations teams to transform raw telemetry into usable datasets.
- Participate in technical design discussions, improve CI/CD workflows, and deliver tested, documented code.
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 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.
- Prior exposure to time-series, IoT, remote sensor, or geospatial datasets is beneficial.
- Interest in energy, commodities, or logistics supply chains is beneficial.
Benefits
- Inclusive and diverse work environment with support for applicants from varied backgrounds, experiences, abilities, and perspectives.
Tech Stack
Categories
BackendData Engineering
About Kpler
Kpler builds a subscription SaaS platform that aggregates and analyzes global commodity flows, energy markets, and vessel movements for traders, analysts, and maritime operators. Founded in 2014 and headquartered in Brussels, the privately held company also operates the MarineTraffic brand, extending its ship-tracking and maritime intelligence coverage across 40+ markets.