Backend Engineer – Commodities

Kpler

. Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow .

Posted 10/8/2026full-timeUnited KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data ingestion and processing pipelines using Python, Kafka, and Airflow, while effectively collaborating with cross-functional teams to deliver high-quality backend services and customer-facing applications.

Highest-signal resume keywords

Python ProgrammingBackend Service DevelopmentCloud Environment DeploymentData Pipeline EngineeringCI/CD Workflow Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLPostgresFastAPIKafkaAirflowTypeScriptVueRESTful API DevelopmentElasticsearch

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

AWSMessage QueuesStreaming PlatformsTime-Series DataIoT

Industry Keywords

EnergyCommoditiesLogistics Supply ChainsGeospatial Datasets

Tech Stack

Tools & technologies

AirflowAWSCloudElasticSearchIoTKafkaPostgresPythonSQLTypeScriptVue.js

About the role

Key responsibilities & impact

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 for noisy time-series data from field hardware
Operate owned services end-to-end, including deployments, observability, and participation in the team’s on-call rotation
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, well-documented code
Extend Kpler’s real-time trade intelligence platform into North American inland supply chains

Requirements

What you’ll need

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
Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch (nice-to-have)
Prior exposure to time-series, IoT, remote sensor, or geospatial datasets (nice-to-have)
Domain interest in energy, commodities, or logistics supply chains (nice-to-have)

Benefits

Comp & perks

Fair, inclusive and diverse work-environment
Equal opportunity employer