Full Stack Engineer

Job description

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. 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.