Data Engineer

Kpler

Data Engineer at Kpler, developing systems for maritime intelligence by processing real-time data from global sources. Designing and building scalable data solutions with innovative technologies.

Posted 6/22/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSeniorWebsite

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Hard Skills

data pipelinesstreaming datadata qualitydata governanceobservabilityreliability toolingAgile deliveryperformance optimizationprogramming in Javaprogramming in Scala

Soft Skills

ownershipaccountabilityproactive mindsetproblem-solvingcross-functional collaborationstructured communication

Tools & Technologies

KafkaSparkApache FlinkAvroCI/CDautomated testingcloud infrastructureinfrastructure-as-codecontainerized microservicesGradle

Industry Keywords

data architectureevent-driven architecturedata pipeline orchestrationworkflow managementsecurity standardsprivacy standardscompliance standards

Tech Stack

Tools & technologies

ApacheCloudGradleJavaKafkaMavenMicroservicesPythonScalaSpark

About the role

Key responsibilities & impact

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.
Participate in Agile delivery processes, including planning, estimation, reviews, and retrospectives, contributing to predictable and iterative delivery.
Continuously optimize performance, scalability, and cost efficiency across data pipelines, storage, and infrastructure.
Ensure security, privacy, and compliance standards are embedded in all data handling and processing workflows.

Requirements

What you’ll need

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
Strong debugging and performance optimization skills in data-intensive systems
Ownership, accountability, and a proactive, execution-focused mindset with strong pragmatic problem-solving.
Cross-functional collaboration with clear, structured communication, especially in ambiguous or fast-moving environments.
Data‑pipeline orchestration and workflow management
Cloud infrastructure & infrastructure‑as‑code
Containerized microservices environments
JVM build‑system tuning (Gradle/Maven)

Benefits

Comp & perks

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