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# Senior Data Engineer

- **Company:** Kpler
- **Location:** Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Geographic Information Systems, Airflow, Amazon Web Services, Code Review, Data Stores, Relational Databases, Cursor, Programming Tools, Distributed Data Store, GeoServer, Apache HBase, Python (Programming Language), PostgreSQL, NoSQL, Query Optimization, Microsoft Copilot, Software Engineering, Data Streaming, Workflow Management Systems, Claude Code, Reliability of Systems, AI Coding Agents, Git Flow, Core Data, Kubernetes, Apache Flink, Apache Kafka, Claude, Terraform, Stream Processing, Data Pipelines, Docker
- **Published:** October 14, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-kpler-10443758

## About the Role

* 5+ years of professional experience as a Data Engineer designing, scaling, and maintaining production-grade data pipelines.
 * Deep, hands-on expertise in distributed NoSQL data stores, specifically Apache HBase, for high-volume time-series storage and query optimization.
 * Strong proficiency in software engineering using Java and Python.
 * Demonstrated experience with stream processing and orchestration tools such as Apache Kafka, Apache Flink, and Apache Airflow.
 * Solid background operating containerized services on AWS cloud environments using Docker, Kubernetes, and Terraform.
Nice-to-haves

 * Experience with relational databases such as PostgreSQL.
 * Experience working with geospatial data technologies (e.g., GeoServer) or spatial indexing algorithms.
 * Exposure to AI-assisted software development tools like Copilot, Cursor, or Claude Code.
 * Domain familiarity with maritime tracking, AIS telemetry, or supply chain logistics.

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?

## Description

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., As a Senior Data Engineer on our Maritime Models team, you will take technical ownership of the core data pipelines and distributed storage architectures powering Kpler's vessel tracking and predictive analytics. You will design, scale, and optimize high-throughput batch and streaming pipelines that ingest raw maritime telemetry and transform it into actionable intelligence. Working with distributed NoSQL systems like Apache HBase at scale, your work directly ensures the freshness, accuracy, and reliability of the data models our global customers depend on., * Architect, build, and operate high-throughput batch and streaming data pipelines using Java, Python, Apache Kafka, Apache Flink, and Airflow.

 * Design, tune, and maintain scalable distributed NoSQL databases, prioritizing Apache HBase performance for high-volume time-series maritime telemetry.
 * Drive end-to-end operational excellence across containerized cloud environments on AWS using Kubernetes, Docker, Terraform, and GitOps workflows.
 * Define and enforce system reliability metrics, monitoring pipeline latency, data completeness, and uptime to meet strict operational SLAs.
 * Partner with Data Scientists, Product Managers, and SRE teams to translate complex maritime modeling requirements into robust, production-grade infrastructure.
 * Mentor peer engineers, drive code review standards, and leverage modern AI development tools (Copilot, Cursor, Claude) to elevate team productivity.