Backend Engineer - Commodities

Kpler
United Kingdom
Hybrid

Who this role is best for

Best suited to backend engineers with experience in data pipelines and cloud infrastructure working in the energy and commodities domain.

Best fit for

  • Backend engineers with 2 to 4 years of professional experience in cloud-based production software
    — “2 to 4 years of professional software engineering experience building and supporting production software.”
  • Candidates who can manage end-to-end service operations and on-call responsibilities
    — “Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation.”
  • Individuals with strong technical acumen in Python, Kafka, and time-series data validation
    — “Implement data validation, system monitoring, and alerting to ensure noisy time-series data from field hardware remains accurate and complete.”

Things to consider

  • The role requires a high level of autonomy in ambiguous situations and decision-making
    — “Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code.”

How to stand out

  • Highlight experience with Python, Kafka, and Airflow in your resume and interviews
    — “Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow.”
  • Showcase your ability to work with cross-functional teams in data science and sensor operations
    — “Collaborate closely with data science and sensor operations teams to transform raw telemetry into high-value, usable datasets for early customer adoption.”
  • Emphasize your contribution to CI/CD workflows and system reliability
    — “Drive continuous platform health by participating in technical design discussions, improving CI/CD workflows, and delivering tested, well-documented code.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build scalable ingestion pipelines
  • develop backend services
  • implement data validation
  • operate services end-to-end
  • collaborate with data science teams
Typical background
2-4 years of software engineering experiencestrong proficiency in Python

Skills & requirements

Required

PythonRelational DatabasesCloud DeploymentMessage QueuesRestful API DevelopmentData ValidationSystem Monitoring

Preferred

FastapiAirflowTypeScriptVueElasticsearchTime-series DataIotGeospatial Datasets

Stack & domain

PythonKafkaAirflowFastapiTypeScriptVueElasticsearchCommunicationProblem-solvingCommoditiesEnergyMaritime

About the role

Original posting from Kpler via Lever

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.

About the Role

As a Software Engineer on the founding Connected Supply Chain team, you will build and run the core services extending Kpler’s real-time trade intelligence platform beyond marine coverage into North American inland supply chains. Operating on a high-autonomy "you build it, you run it" model, you will carry sensor telemetry from field hardware to paying customers through streaming ingestion pipelines, robust APIs, and user-facing features. By uniting crude pipeline remote sensors, rail, and waterway data with existing maritime tracking, your work will directly deliver a single connected view from production basin to export terminal.

Key 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.

-

Drive continuous platform health by participating in technical design discussions, improving CI/CD workflows, and delivering tested, well-documented code.

Experience & Background:

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.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We build
together

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

By applying, I confirm that I have read and accept the Staff Privacy Notice

Source: Kpler careers (Lever)

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