Data Engineer

Kpler
Colombia
Workplace: HybridFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Communication","Ownership","Operational excellence","Collaboration","Mentoring"]

Own the full lifecycle of high-throughput data ingestion pipelines for core intelligence platforms, including Snowflake and ClickHouse, plus direct client delivery channels. Build and maintain batch/streaming ingestion frameworks from Kafka, S3, and Iceberg with strong reliability, performance, and observability. Collaborate with product, platform, cloud infrastructure, and external client technical teams, and help drive operational excellence through monitoring, alerting, and on-call readiness.

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Kpler
Kpler
21 hours ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Own the full lifecycle of high-throughput data ingestion pipelines for core intelligence platforms, including Snowflake and ClickHouse, plus direct client delivery channels. Build and maintain batch/streaming ingestion frameworks from Kafka, S3, and Iceberg with strong reliability, performance, and observability. Collaborate with product, platform, cloud infrastructure, and external client technical teams, and help drive operational excellence through monitoring, alerting, and on-call readiness.
Location: Colombia
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and operate flexible data ingestion frameworks using Java and Python/Airflow to power analytical platforms like Snowflake and ClickHouse.
  • •Maintain end-to-end service ownership through proactive monitoring, actionable alerts, and reducing pipeline failure modes with on-call readiness.
  • •Lead technical project delivery by breaking down complex problems, authoring clear design proposals, and shipping capabilities end-to-end on schedule.
  • •Build reusable tools, documentation, and developer experience improvements to enable adjacent teams to adopt and extend ingestion frameworks with minimal friction.
  • •Collaborate across engineering and client stakeholders and mentor the engineering crew through onboarding and constructive code reviews.

Key Requirements

  • •3+ years building, operating, and maintaining production data ingestion pipelines (batch/streaming) using tools like Kafka, S3, Iceberg, or Airflow.
  • •Strong proficiency in Java and Python, with solid SQL skills, data modeling fundamentals, and warehouse experience (Snowflake or equivalent).
  • •Demonstrated production ownership on AWS, including monitoring/observability, performance tuning, and Kubernetes deployment workflows (GitOps/CI/CD).
  • •Strong communication skills to partner with cross-functional product, platform, and external client technical teams.
  • •Basic frontend awareness (e.g., exposure to TypeScript, Vue.js, or API integrations) is a plus.
Experience:3+ years
Skills:CommunicationOwnershipOperational excellenceCollaborationMentoring
Tech Stack:JavaPythonSQLKafkaS3IcebergAirflowAWSKubernetesGitOpsCI/CDSnowflakeClickHouseTypeScriptVue.jsAWS Transfer FamilySFTPBoto3Excel add-in

Company Brief

Kpler
Provides real-time commodity, shipping and trade intelligence combining satellite, AIS, customs and market data to deliver analytics for energy, dry bulk, petrochemicals, metals and agricultural markets, enabling trading, risk management and market transparency.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Paris, France
Founded: 2014
WebsiteLinkedIn