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 looking for an experienced Full\-Stack Engineer with a strong interest in data to join one of our dynamic product teams. We focus on delivering powerful insights to our clients by providing access to our data via intuitive front\-end interfaces, APIs, and SDKs—allowing seamless integration into their workflows. ### **Responsibilities** * + Own the development, implementation, and deployment of front\-end features based on project requirements and design specifications. + Contribute to back\-end development and architecture decisions with strong software engineering skills. + Design, build, and ship new product features end\-to\-end. + Optimize system performance, troubleshoot issues, and ensure high availability. + Conduct code reviews, provide constructive feedback, and uphold high coding standards. ### **Skills and Experience** * + Over 5 years of experience in full\-stack or similar roles. + Solid experience with Vue 3 and TypeScript/JavaScript. + Experience with front\-end testing frameworks such as Jest, Mocha, or Jasmine. + Familiarity with RESTful APIs, GraphQL, or FastAPI, with the ability to extend and maintain existing frameworks. + Proficiency in Python, Scala, or equivalent languages. + You May Be a Fit If You + Value clean, maintainable, and high\-performance code. + Learn quickly and adapt easily to new challenges. + Take ownership when you notice something broken: fixing it directly or raising it as an issue to be addressed. + Are fluent in English and comfortable working in a diverse, international team. ### **Nice to Have** * + Experience in data engineering or working with ETL pipelines. + Exposure to containerisation and orchestration tools (Docker, Kubernetes, Terraform, Airflow). + Comfortable writing SQL and working with relational databases (PostgreSQL is a plus). + Familiarity with event streaming technologies like Kafka. + Knowledge of Snowflake or Kong infrastructure. 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. By applying, I confirm that I have read and accept the Staff Privacy Notice We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.