Senior Data Engineer
Kpler
Data Science
Athens, Greece
Posted on Feb 19, 2026
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 700 experts from 35+ 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.
Kpler is seeking a highly skilled data engineer to play a critical role in the evolution of our maritime analytics platform. This role is focused on enriching and scaling our maritime models by migrating and refactoring complex business logic from database-centric implementations into robust, production-ready streaming applications. You will own the end-to-end delivery of these migrations — from translating domain logic and validating functional parity, to performance tuning and operational readiness — while establishing repeatable engineering patterns that improve data quality, system reliability, and long-term maintainability across the platform.
Responsibilities
- Analyse, understand and decompose complex database-centric business logic into well-defined, scalable components.
- Design and build event-driven architectures and streaming workflows to replace legacy database processing.
- Implement, deploy and operate production-grade streaming jobs using technologies such as Kafka, Spark and Flink (Scala/Java).
- Improve the scalability, reliability and maintainability of data processing pipelines through thoughtful design and performance tuning.
- Collaborate closely with domain experts and other stakeholders to validate outputs and ensure a smooth, low-risk migration away from the current Datastore.
- Ensure functional parity and high data quality by validating streaming outputs against legacy implementations, including testing, reconciliation and backfills where required.
- Contribute to engineering excellence through code reviews, clear documentation, and the establishment of best practices and reusable components for streaming development.
Required skills & experience
- A minimum of 5 years’ relevant industry experience in data engineering or distributed systems.
- Strong experience designing and operating large-scale data pipelines and processing high-volume datasets in production environments.
- Hands-on experience with event streaming and distributed processing technologies such as Kafka, Spark and/or Flink.
- Strong programming skills in Scala and/or Java, with solid proficiency in SQL.
- Experience building, operating and scaling data platforms in cloud environments, with working knowledge of AWS services such as IAM and S3.
- Exposure to running services in Kubernetes and delivering changes through GitOps-style workflows, including pull request–based deployments, environment promotion and reproducible releases.
- Working knowledge of software engineering best practices, including test-driven development, clean code principles, pair programming and common design patterns.
- Comfortable working in an Agile environment, with a focus on iterative delivery, collaboration and continuous improvement.
- Ability to communicate technical concepts and risks clearly to non-technical stakeholders.
- Proficiency in written and spoken English to support effective collaboration in a global team.
- Bachelor’s degree in Computer Science, Data Engineering or a related field, or equivalent practical experience.
Nice to have
- Experience migrating from stored procedures or RDBMS-centric business logic to distributed, event-driven or streaming-based systems.
- Experience applying test-driven development practices when building streaming or event-driven applications.
- Familiarity with domain modelling for maritime or shipping data.
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?
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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.
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