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.
The price and arbitrage team is responsible for providing real time arbitrage opportunities by mining Kpler shipping and trade data. The team develops and maintains high-performance backend services and APIs that process large volumes of data, perform complex calculations, and deliver results to both internal and external clients.
As a data software engineer, you will design, implement, and maintain APIs and processing services using primarily Python. You will be responsible for creating robust presentation and processing layers that handle client interactions, execute business logic, perform calculations, and orchestrate data across multiple databases and external APIs
As a Data Engineer, your mission is to:
Develop backend processing services that perform complex calculations and data transformations
Build integration layers to interact with multiple databases (SQL/NoSQL) and third-party APIs
Design and implement RESTful APIs for both client-facing and internal services
Take responsibility for the development and implementation of our core algorithms and back-end data pipelines, based on project requirements and design specifications
Discuss the roadmap in collaboration with the product team, helping them build ambitious yet sustainable plans
It will be a match if you are or have…
Circa 3-5 years' of experience as a data focused Software Engineer
BSc/MSc in computer science, computer engineering or equivalent
Significant experience working with Python (FastAPI is a plus)
Comfortable with SQL and NoSQL databases for OLTP and OLAP usages
Proficiency in building and consuming RESTful APIs
Understanding of performance optimization and caching strategies
Comfortable working with Git, code reviews, and Agile methodologies
Strong command of written and spoken English
Desirable
Experience with Airflow
Have experience with AWS (or another cloud provider), using Terraform
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of JVM languages (Scala or Java ideally) and experience with Kafka
Knowledge of microservices architecture
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.
