Kpler

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join our Maritime Ingress team as a Data Engineer to design, build, and operate large-scale distributed data systems for real-time maritime intelligence. You’ll develop batch and streaming pipelines, ensure data quality and governance, and improve observability and reliability across data platforms in a fast-growing environment.

Location: Athens

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and operate scalable batch and streaming data pipelines (e.g., Kafka, Spark), ensuring reliable ingestion, processing, and recovery in production environments.
•Design and implement data quality and governance mechanisms including validation, lineage, and monitoring to ensure trusted and accurate datasets.
•Develop observability and reliability tooling across data platforms using metrics, logs, traces, CI/CD, automated testing, alerting, and incident response.
•Contribute to robust and scalable data architecture, applying software engineering best practices, reusable components, and clean design principles.
•Collaborate with Product, Engineering, Analytics, and domain experts to translate requirements into scalable data solutions with measurable impact.

Key Requirements

•Data-focused software engineering background with production experience with stateful, large-scale data systems.
•Experience with streaming technologies such as Apache Kafka, Kafka Streams, and Apache Flink, as well as Avro and stateful data processing.
•Programming experience in Java, Scala, Python, or similar (language flexible).
•Strong understanding of distributed, event-driven architectures.
•Ownership, accountability, and a proactive, execution-focused mindset with strong pragmatic problem-solving.

Experience:MaritimeData engineeringStreaming data

Skills:Data pipelinesStreamingKafkaSparkAvroJavaScalaPythonDistributed architecturesCI/CDTestingMonitoring

Tech Stack:KafkaKafka StreamsApache FlinkAvroJavaScalaPythonSparkCI/CDCloudKubernetes

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

Website LinkedIn

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Kpler

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Athens

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and operate scalable batch and streaming data pipelines (e.g., Kafka, Spark), ensuring reliable ingestion, processing, and recovery in production environments.
•Design and implement data quality and governance mechanisms including validation, lineage, and monitoring to ensure trusted and accurate datasets.
•Develop observability and reliability tooling across data platforms using metrics, logs, traces, CI/CD, automated testing, alerting, and incident response.
•Contribute to robust and scalable data architecture, applying software engineering best practices, reusable components, and clean design principles.
•Collaborate with Product, Engineering, Analytics, and domain experts to translate requirements into scalable data solutions with measurable impact.

Key Requirements

•Data-focused software engineering background with production experience with stateful, large-scale data systems.
•Experience with streaming technologies such as Apache Kafka, Kafka Streams, and Apache Flink, as well as Avro and stateful data processing.
•Programming experience in Java, Scala, Python, or similar (language flexible).
•Strong understanding of distributed, event-driven architectures.
•Ownership, accountability, and a proactive, execution-focused mindset with strong pragmatic problem-solving.

Experience:MaritimeData engineeringStreaming data

Skills:Data pipelinesStreamingKafkaSparkAvroJavaScalaPythonDistributed architecturesCI/CDTestingMonitoring

Tech Stack:KafkaKafka StreamsApache FlinkAvroJavaScalaPythonSparkCI/CDCloudKubernetes

Company Brief

Kpler

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn