6+ years of professional software or data engineering experience building complex, production-grade data processing systems.
Skills
Python
Apache Spark
Kafka
Airflow
AWS
Terraform
Docker
CI/CD
SQL
Database Design
Inside the role
Department
Maritime & Logistics
Seniority
Senior
Employer overview
Kpler helps clients navigate complex markets by simplifying global trade information and providing insights in commodities, energy, and maritime sectors.
Role signal brief
The role, at a glance
Extracted from the source posting · 85% confidence
Kpler is hiring a Senior Data Engineer in its Maritime & Logistics division to own data pipelines and processing infrastructure supporting real-time global trade intelligence. The role requires deep experience in Python, distributed data tools, and AWS-based cloud infrastructure, with collaboration across product and engineering teams.
Remote scope
Greece
What you need
6+ years professional software or data engineering experience
Strong expertise in Python with hands-on experience in Apache Spark, Kafka, or Airflow
Advanced database design, SQL performance tuning, and data modeling across relational and NoSQL stores
Cloud infrastructure management on AWS using Terraform, Docker, and CI/CD
Clean, maintainable code in polyglot environments (Python, Java/Scala, or PHP)
What you will own
Architect, build, and optimize scalable data pipelines and stream-processing workflows using Python, Apache Spark, Kafka, and Airflow.
Maintain and evolve data architecture across polyglot backend microservices (Python/FastAPI, PHP, Java/Scala) to support continuous analytics delivery.
Ensure end-to-end data quality, freshness, and reliability by implementing automated validation, monitoring frameworks, and strict SLA tracking.
Provision and manage cloud-native data infrastructure on AWS using Terraform, Docker, and automated CI/CD practices.
Collaborate cross-functionally with Product Managers, SRE, Platform Engineers, and Data Scientists to translate complex domain needs into performant data products.
Drive operational and cost efficiency across data infrastructure, optimizing cloud resource usage and pipeline performance.
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 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.
About the Role
As a Senior Data Engineer in our Maritime & Logistics division, you will take technical ownership of the data pipelines and processing infrastructure that power real-time global trade intelligence. You will architect, build, and maintain high-throughput batch and streaming pipelines that ingest complex maritime feeds from global providers. Working closely with Product, SRE, and Data Science teams, your work will directly ensure the accuracy, freshness, and scalability of the data that underpins our flagship analytics platforms.
Key Responsibilities
Architect, build, and optimize scalable data pipelines and stream-processing workflows using Python, Apache Spark, Kafka, and Airflow.
Maintain and evolve data architecture across polyglot backend microservices (Python/FastAPI, PHP, Java/Scala) to support continuous analytics delivery.
Ensure end-to-end data quality, freshness, and reliability by implementing automated validation, monitoring frameworks, and strict SLA tracking.
Provision and manage cloud-native data infrastructure on AWS using Terraform, Docker, and automated CI/CD practices.
Collaborate cross-functionally with Product Managers, SRE, Platform Engineers, and Data Scientists to translate complex domain needs into performant data products.
Drive operational and cost efficiency across data infrastructure, optimizing cloud resource usage and pipeline performance.
Experience & Background
What you'll need (Must-haves)
6+ years of professional software or data engineering experience building complex, production-grade data processing systems.
Strong expertise in Python and hands-on experience with distributed data processing tools such as Apache Spark, Kafka, or Airflow.
Advanced knowledge of database design, SQL performance tuning, and data modeling across relational and NoSQL stores.
Proven experience managing cloud infrastructure on AWS, utilizing Terraform, Docker, and modern CI/CD pipelines.
Practical experience writing clean, maintainable code in polyglot environments (Python, Java/Scala, or PHP).
Nice-to-haves
Experience building RESTful APIs using Python frameworks like FastAPI.
Background handling high-throughput time-series, geospatial, or maritime logistics datasets.
Exposure to cloud FinOps, observability, and cost management tooling (e.g., Datadog, Astronomer).
Additional
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?
We make things happen
We act decisively and with purpose, going the extra mile.
We build together
We foster relationships and develop creative solutions to address market challenges.
We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.
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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