Backend Engineer - Commodities

Kpler
Greece
Hybrid

Who this role is best for

Strong fit for backend engineers with experience in data ingestion and cloud deployment who thrive in collaborative, cross-functional teams.

Best fit for

  • Candidates with 2 to 4 years of experience in building production software and deploying backend services in cloud environments
    — “2 to 4 years of professional software engineering experience building and supporting production software”
  • Individuals who can translate ambiguous requirements into actionable code and work with time-series data from field hardware
    — “Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code”
  • Engineers comfortable with end-to-end service operations and on-call responsibilities in a global team setting
    — “Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation”

Things to consider

  • The role requires a strong commitment to on-call rotation and full-time employment in Greece
    — “participation in the team's on-call rotation”
  • Candidates must be prepared to work closely with data science and sensor operations teams on a regular basis
    — “Collaborate closely with data science and sensor operations teams”

How to stand out

  • Highlight experience with Python, Kafka, and cloud deployment in your resume and interview responses
    — “Proven experience deploying, debugging, and operating backend services in cloud environments”
  • Showcase your work with time-series data or IoT systems to align with the role's technical focus
    — “Prior exposure to time-series, IoT, remote sensor, or geospatial datasets”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • scalable ingestion and processing pipelines
  • accurate and complete data
  • continuous platform health
Typical background
2-4 years of professional software engineering experience

Skills & requirements

Required

PythonRelational DatabasesCloud EnvironmentsMessage QueuesStreaming PlatformsRestful API DevelopmentSystem MonitoringData Validation

Preferred

FastapiAirflowTypeScriptVueElasticsearchTime-series DataIotGeospatial Datasets

Stack & domain

PythonKafkaAirflowFastapiTypeScriptVueSQLPostgreSQLProblem-solvingTeamworkCommoditiesEnergyMaritime

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.

Key Responsibilities:

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

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Develop backend services using FastAPI and contribute to customer-facing web applications using TypeScript and Vue.

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Implement data validation, system monitoring, and alerting to ensure noisy time-series data from field hardware remains accurate and complete.

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Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation.

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Collaborate closely with data science and sensor operations teams to transform raw telemetry into high-value, usable datasets for early customer adoption.

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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

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Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch.

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Prior exposure to time-series, IoT, remote sensor, or geospatial datasets.

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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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